2,001 agent tools in this category, ranked by GitHub stars for now. Hands-on test results will replace this ranking as they finish.
The three most-starred tools here. Not tested together yet.
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and
npx skills add anthropics/skills --skill academy-guideReference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER —
npx skills add anthropics/skills --skill claude-apiRun the CCS Align seat's hourly breathing cycle — prove the local claude-mem worker is healthy, pull needle observations through search → timeline → get_observa
npx skills add thedotmack/claude-mem --skill ccs-align| Tool | Stars | Last update | License | |
|---|---|---|---|---|
| academy-guide Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutor SkillOfficial · AnthropicInstall · skills CLI | 194,218 | — | ||
| claude-api Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. SkillOfficial · AnthropicInstall · skills CLI | 194,218 | — | ||
| ccs-align Run the CCS Align seat's hourly breathing cycle — prove the local claude-mem worker is healthy, pull needle observations through search → timeline → g SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| mode-creator Interactively create, install, activate, and verify custom claude-mem modes, including domain-specific observation types, concept tags, optional Teleg SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| html-ppt-hermes-cyber-terminal OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck SkillInstall · skills CLI | 107,550 | Apache-2.0 | ||
| html-ppt-presenter-mode OpenDesign live demo: from a one-line prompt to runnable design in a single session — the flow, live. Built as a decision-grade AI literacy deck for d SkillInstall · skills CLI | 107,550 | Apache-2.0 | ||
| html-ppt-tech-sharing OpenDesign internals: how the agent stream, sandbox, and artifacts work — an engineering deep-dive talk. Built as a decision-grade AI literacy deck fo SkillInstall · skills CLI | 107,550 | Apache-2.0 | ||
| ai-ml-api-automation Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| anthropic-administrator-automation Automate Anthropic Admin tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| anthropic_administrator-automation Automate Anthropic Admin tasks via Rube MCP (Composio): API keys, usage, workspaces, and organization management. Always search tools first for curren SkillInstall · skills CLI | 79,451 | — | ||
| claid-ai-automation Automate Claid AI tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| convolo-ai-automation Automate Convolo AI tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| waypoint-bio Supports work with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pr SkillInstall · skills CLI | 57,090 | MIT | ||
| advanced-evaluation Design LLM-as-judge rubrics, direct scores and pairwise comparisons. Use for judge models, evals, position bias and calibration against human labels. SkillInstall · skills CLI | 49,672 | MIT | ||
| ai-wrapper-product Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - pr SkillInstall · skills CLI | 49,672 | MIT | ||
| azure-ai-openai-dotnet Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcri SkillInstall · skills CLI | 49,672 | MIT | ||
| hugging-face-evaluation Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial A SkillInstall · skills CLI | 49,672 | MIT | ||
| langfuse Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangCha SkillInstall · skills CLI | 49,672 | MIT | ||
| llm-app-patterns Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries. SkillInstall · skills CLI | 49,672 | MIT | ||
| mcp-builder Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP ser SkillInstall · skills CLI | 49,672 | MIT | ||
| mcp-tool-developer Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registr SkillInstall · skills CLI | 49,672 | MIT | ||
| prompt-caching Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) SkillInstall · skills CLI | 49,672 | MIT | ||
| prompt-engineering Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting stra SkillInstall · skills CLI | 49,672 | MIT | ||
| rag-engineer Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization SkillInstall · skills CLI | 49,672 | MIT | ||
| rag-implementation RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval o SkillInstall · skills CLI | 49,672 | MIT | ||
| agent-sdk-dev Development kit for working with the Claude Agent SDK PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| checkpoint-promotion Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpo SkillInstall · skills CLI | 42,495 | MIT | ||
| dataset-curation Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying SkillInstall · skills CLI | 42,495 | MIT | ||
| eval-harness-first Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Us SkillInstall · skills CLI | 42,495 | MIT | ||
| evaluation-methodology PluginEval quality methodology, covering dimensions, rubrics, and scoring formulas. Use this skill when understanding how plugin quality is measured, SkillInstall · skills CLI | 42,495 | MIT | ||
| finetuning-method-selection Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when start SkillInstall · skills CLI | 42,495 | MIT | ||
| grpo-rlvr-training Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmic SkillInstall · skills CLI | 42,495 | MIT | ||
| llm-evaluation Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM per SkillInstall · skills CLI | 42,495 | MIT | ||
| lora-qlora-recipes Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training config SkillInstall · skills CLI | 42,495 | MIT | ||
| ml-pipeline-workflow Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, SkillInstall · skills CLI | 42,495 | MIT | ||
| preference-optimization Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosin SkillInstall · skills CLI | 42,495 | MIT | ||
| quantized-export Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint p SkillInstall · skills CLI | 42,495 | MIT | ||
| rag-implementation Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-gro SkillInstall · skills CLI | 42,495 | MIT | ||
| recsys-pipeline-architect Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework populari SkillInstall · skills CLI | 42,495 | MIT | ||
| trace-to-training-data Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to bec SkillInstall · skills CLI | 42,495 | MIT | ||
| vision-sft Fine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring f SkillInstall · skills CLI | 42,495 | MIT | ||
| ai-prompt-engineering-safety-review Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectivene SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-ai-provider-integration Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports a SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-annotation Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Appl SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-evaluator Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-experiment Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing result SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-instrumentation Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrum SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-prompt-optimization Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performanc SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-trace Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting trac SkillInstall · skills CLI | 41,140 | MIT | ||
| create-llms Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/ SkillInstall · skills CLI | 41,140 | MIT | ||
| integrate-context-matic Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guida SkillInstall · skills CLI | 41,140 | MIT | ||
| java-mcp-server-generator Use this skill when the user wants to create a Model Context Protocol (MCP) server in Java or in a Spring Boot app. Also use it when the user wants AI SkillInstall · skills CLI | 41,140 | MIT | ||
| mcp-cli Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP serve SkillInstall · skills CLI | 41,140 | MIT | ||
| detecting-data-and-model-poisoning Identify poisoned training data and backdoored ML models across the pipeline using IBM's Adversarial Robustness Toolbox (activation clustering, spectr SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| detecting-indirect-prompt-injection Detect and defend against indirect prompt injection hidden in web pages, documents, and images consumed by an agent, via content extraction (HTML/PDF/ SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| agents-langchain Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integratio SkillInstall · skills CLI | 33,495 | MIT | ||
| agents-llamaindex Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector in SkillInstall · skills CLI | 33,495 | MIT | ||
| ai-product Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM SkillInstall · skills CLI | 33,495 | MIT | ||
| ai-wrapper-product Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - pro SkillInstall · skills CLI | 33,495 | MIT | ||
| claude-code-guide Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-accelerate Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic de SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-deepspeed Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-megatron-core Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parame SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-pytorch-fsdp Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2 SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-pytorch-lightning High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scale SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-ray-train Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tunin SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-knowledge-distillation Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performanc SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-long-context Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-1 SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-model-merging Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-sp SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-model-pruning Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-moe-training Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-speculative-decoding Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1. SkillInstall · skills CLI | 33,495 | MIT | ||
| evaluation-bigcode-evaluation-harness Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, compari SkillInstall · skills CLI | 33,495 | MIT | ||
| evaluation-lm-evaluation-harness Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, SkillInstall · skills CLI | 33,495 | MIT | ||
| evaluation-nemo-evaluator Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable SkillInstall · skills CLI | 33,495 | MIT | ||
| fine-tuning-axolotl Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support SkillInstall · skills CLI | 33,495 | MIT | ||
| fine-tuning-llama-factory Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support SkillInstall · skills CLI | 33,495 | MIT | ||
| fine-tuning-peft Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when SkillInstall · skills CLI | 33,495 | MIT | ||
| fine-tuning-unsloth Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization SkillInstall · skills CLI | 33,495 | MIT | ||
| gemini Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring l SkillInstall · skills CLI | 33,495 | MIT | ||
| gemini-api-agent-platform Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK for enterprise AI applications. Covers SDK usage (Python, JS/TS, Go, J SkillInstall · skills CLI | 33,495 | MIT | ||
| inference-serving-llama-cpp Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when C SkillInstall · skills CLI | 33,495 | MIT | ||
| inference-serving-sglang Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflow SkillInstall · skills CLI | 33,495 | MIT | ||
| inference-serving-tensorrt-llm Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when SkillInstall · skills CLI | 33,495 | MIT | ||
| inference-serving-vllm Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference lat SkillInstall · skills CLI | 33,495 | MIT | ||
| llm-ops LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-litgpt Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-mamba State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware- SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-nanogpt Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpat SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-rwkv RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-torchtitan Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-clip OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-llava Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA l SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-segment-anything Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as pr SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-stable-diffusion State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, perfor SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-whisper OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six mode SkillInstall · skills CLI | 33,495 | MIT | ||
| openai-docs Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Respo SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-awq Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-bitsandbytes Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-flash-attention Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long se SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-gguf GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-gptq Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× me SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-hqq Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-grpo-rl-training Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-miles Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, ne SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-openrlhf High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO- SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-simpo Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No refere SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-slime Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data gener SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-torchforge Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstract SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-trl-fine-tuning Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-verl Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL alg SkillInstall · skills CLI | 33,495 | MIT | ||
| rag-sentence-transformers Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrie SkillInstall · skills CLI | 33,495 | MIT | ||
| safety-alignment-constitutional-ai Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF SkillInstall · skills CLI | 33,495 | MIT | ||
| safety-alignment-llamaguard Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, sel SkillInstall · skills CLI | 33,495 | MIT | ||
| safety-alignment-nemo-guardrails NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, SkillInstall · skills CLI | 33,495 | MIT | ||
| tokenization-huggingface-tokenizers Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram al SkillInstall · skills CLI | 33,495 | MIT | ||
| tokenization-sentencepiece Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), SkillInstall · skills CLI | 33,495 | MIT | ||
| cognee-integrations Use when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenR SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| gws-modelarmor Google Model Armor: Filter user-generated content for safety. SkillInstall · skills CLI | 32,308 | Apache-2.0 | ||
| gws-modelarmor-create-template Google Model Armor: Create a new Model Armor template. SkillInstall · skills CLI | 32,308 | Apache-2.0 | ||
| gws-modelarmor-sanitize-prompt Google Model Armor: Sanitize a user prompt through a Model Armor template. SkillInstall · skills CLI | 32,308 | Apache-2.0 | ||
| gws-modelarmor-sanitize-response Google Model Armor: Sanitize a model response through a Model Armor template. SkillInstall · skills CLI | 32,308 | Apache-2.0 | ||
| add-atomic-chat-tool Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API. SkillInstall · skills CLI | 31,114 | MIT | ||
| add-codex Use Codex (OpenAI's codex app-server) as a full agent provider — planning, tool orchestration, MCP tools, server-side history, session resume — alongs SkillInstall · skills CLI | 31,114 | MIT | ||
| add-cursor Use Cursor (local Agent SDK) as a full agent provider — planning, tool orchestration, MCP tools, session resume — alongside or instead of Claude. Curs SkillInstall · skills CLI | 31,114 | MIT | ||
| add-ollama-provider Route a NanoClaw agent group to a local Ollama model instead of the Anthropic API. Ollama speaks the Anthropic API natively (v1/messages), so no provi SkillInstall · skills CLI | 31,114 | MIT | ||
| add-ollama-tool Add Ollama MCP server so the container agent can call local models and optionally manage the Ollama model library. SkillInstall · skills CLI | 31,114 | MIT | ||
| add-opencode Use OpenCode as an agent provider. OpenRouter, OpenAI, Google, DeepSeek, etc. via OpenCode config — not the Anthropic Agent SDK. Per group via `ncl gr SkillInstall · skills CLI | 31,114 | MIT | ||
| chief-ai-officer-advisor Use for AI strategy decisions: API vs fine-tune vs build, EU AI Act or US state risk classification, when self-hosting pays off, or AI hiring order. R SkillInstall · skills CLI | 29,773 | MIT | ||
| claude-coach Use when the user wants to get better at using Claude ('coach me', 'teach me Claude tricks', 'make me a power user'). Rates their prompts with prompt_ SkillInstall · skills CLI | 29,773 | MIT | ||
| kubernetes-operator Use when building a Kubernetes operator or CRD (controller-runtime, kubebuilder, operator-sdk, KOPF), before writing the controller. Validates CRDs wi SkillInstall · skills CLI | 29,773 | MIT | ||
| llm-cost-optimizer Use whenever an LLM feature is being built or its costs come up (model choice, prompt caching, token limits, per-feature spend). Sets routing, caching SkillInstall · skills CLI | 29,773 | MIT | ||
| prompt-governance Use when prompts run in production and need versioning, a registry, A/B tests, regression checks or an eval pipeline. Sets up the release process for SkillInstall · skills CLI | 29,773 | MIT | ||
| senior-computer-vision Computer vision models: object detection, segmentation, training a custom model, and optimizing or deploying inference (YOLO, DETR, SAM, ONNX, TensorR SkillInstall · skills CLI | 29,773 | MIT | ||
| senior-ml-engineer Use for putting ML models or LLM features into production: deployment, MLOps, drift monitoring, RAG pipelines, LLM API cost and retries. Deploys with SkillInstall · skills CLI | 29,773 | MIT | ||
| chatgpt-apps Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design too SkillInstall · skills CLI | 28,730 | — | ||
| bigquery-ai-ml Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform SkillInstall · skills CLI | 24,146 | Apache-2.0 | ||
| developing-genkit-dart Provides guidance on developing AI-powered applications using the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows SkillInstall · skills CLI | 24,146 | Apache-2.0 | ||
| developing-genkit-go Provides guidance on developing AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go SkillInstall · skills CLI | 24,146 | Apache-2.0 | ||
| developing-genkit-js Provides guidance on developing AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or SkillInstall · skills CLI | 24,146 | Apache-2.0 | ||
| gemini-api Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the u SkillInstall · skills CLI | 24,146 | Apache-2.0 | ||
| gemini-live-api Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a SkillInstall · skills CLI | 24,146 | Apache-2.0 | ||
| gke-inference Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE SkillInstall · skills CLI | 24,146 | Apache-2.0 | ||
| paper-write Draft LaTeX paper section by section from an outline. Use when user says \"写论文\", \"write paper\", \"draft LaTeX\", \"开始写\", or wants to generate LaTe SkillInstall · skills CLI | 19,162 | MIT | ||
| advanced-evaluation This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias m SkillInstall · skills CLI | 18,347 | MIT | ||
| book-sft-pipeline This skill should be used for book-to-SFT pipelines: ePub extraction, literary segmentation, author-voice dataset construction, style-transfer trainin SkillInstall · skills CLI | 18,347 | MIT | ||
| comprehensive-research-agent Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls SkillInstall · skills CLI | 18,347 | MIT | ||
| constitutional-ai Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF SkillInstall · skills CLI | 14,526 | MIT | ||
| distributed-llm-pretraining-torchtitan Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek SkillInstall · skills CLI | 14,526 | MIT | ||
| fine-tuning-with-trl Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and SkillInstall · skills CLI | 14,526 | MIT | ||
| grpo-rl-training Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training SkillInstall · skills CLI | 14,526 | MIT | ||
| huggingface-tokenizers Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram al SkillInstall · skills CLI | 14,526 | MIT | ||
| implementing-llms-litgpt Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model SkillInstall · skills CLI | 14,526 | MIT | ||
| knowledge-distillation Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performanc SkillInstall · skills CLI | 14,526 | MIT | ||
| langchain Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integratio SkillInstall · skills CLI | 14,526 | MIT | ||
| llamaguard Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, sel SkillInstall · skills CLI | 14,526 | MIT | ||
| llamaindex Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector in SkillInstall · skills CLI | 14,526 | MIT | ||
| long-context Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-1 SkillInstall · skills CLI | 14,526 | MIT | ||
| mamba-architecture State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware- SkillInstall · skills CLI | 14,526 | MIT | ||
| miles-rl-training Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, ne SkillInstall · skills CLI | 14,526 | MIT | ||
| model-merging Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-sp SkillInstall · skills CLI | 14,526 | MIT | ||
| model-pruning Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving SkillInstall · skills CLI | 14,526 | MIT | ||
| moe-training Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs SkillInstall · skills CLI | 14,526 | MIT | ||
| nanogpt Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpat SkillInstall · skills CLI | 14,526 | MIT | ||
| nemo-curator GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heu SkillInstall · skills CLI | 14,526 | MIT | ||
| nemo-guardrails NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, SkillInstall · skills CLI | 14,526 | MIT | ||
| nnsight-remote-interpretability Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to ru SkillInstall · skills CLI | 14,526 | MIT | ||
| openrlhf-training High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO- SkillInstall · skills CLI | 14,526 | MIT | ||
| peft-fine-tuning Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when SkillInstall · skills CLI | 14,526 | MIT | ||
| prompt-guard Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, <1% FPR. Fast (<2ms GPU). M SkillInstall · skills CLI | 14,526 | MIT | ||
| pyvene-interventions Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal SkillInstall · skills CLI | 14,526 | MIT | ||
| ray-data Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, T SkillInstall · skills CLI | 14,526 | MIT | ||
| rwkv-architecture RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux SkillInstall · skills CLI | 14,526 | MIT | ||
| sentence-transformers Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrie SkillInstall · skills CLI | 14,526 | MIT | ||
| sentencepiece Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), SkillInstall · skills CLI | 14,526 | MIT | ||
| simpo-training Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No refere SkillInstall · skills CLI | 14,526 | MIT | ||
| slime-rl-training Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data gener SkillInstall · skills CLI | 14,526 | MIT | ||
| sparse-autoencoder-training Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable featu SkillInstall · skills CLI | 14,526 | MIT | ||
| speculative-decoding Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1. SkillInstall · skills CLI | 14,526 | MIT | ||
| torchforge-rl-training Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstract SkillInstall · skills CLI | 14,526 | MIT | ||
| transformer-lens-interpretability Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and a SkillInstall · skills CLI | 14,526 | MIT | ||
| unsloth Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization SkillInstall · skills CLI | 14,526 | MIT | ||
| verl-rl-training Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL alg SkillInstall · skills CLI | 14,526 | MIT | ||
| minimax-multimodal-toolkit Use mmx to generate text, images, video, and speech, and to transcribe audio, via the MiniMax AI platform. Use when the user wants to create media con SkillInstall · skills CLI | 13,830 | MIT | ||
| fine-tuning-expert Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, prepa SkillInstall · skills CLI | 12,355 | MIT | ||
| rag-architect Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pi SkillInstall · skills CLI | 12,355 | MIT | ||
| CodeBurn AI coding spend, tokens and plan quotas across Claude Code, Codex, Cursor and 40+ more tools MCP serverGitHub-verified authorLocal · npm | 11,784 | MIT | ||
| hf-cli Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging F SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| hf-mcp Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use G SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| hf-mem Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| huggingface-best Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| huggingface-community-evals Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| huggingface-llm-trainer Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| huggingface-local-models Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| huggingface-skills Build, train, evaluate, and use open source AI models, datasets, and spaces. PluginAnthropic marketplace | 11,341 | Apache-2.0 | ||
| huggingface-tool-builder Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially u SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| huggingface-trackio Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostic SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| huggingface-vision-trainer Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| train-sentence-transformers Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, c SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| transformers-js Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| trl-training Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training. Use when writing or debugging trainin SkillInstall · skills CLI | 11,341 | Apache-2.0 | ||
| litert-lm Builds an Android app that runs an open text LLM on the device, on the CPU or the GPU, with the LiteRT-LM Kotlin API (com.google.ai.edge.litertlm:lite SkillInstall · skills CLI | 10,503 | Apache-2.0 | ||
| litert-runtime Configures and implements LiteRT (.tflite) on-device inference on Android in Kotlin using the CompiledModel API on CPU and GPU. Use this skill for any SkillInstall · skills CLI | 10,503 | Apache-2.0 | ||
| ml-kit-genai-prompt-api Analyzes Android codebases to implement ML Kit GenAI Prompt API. Use this skill to send natural language requests on-device to Gemini Nano, use struct SkillInstall · skills CLI | 10,503 | Apache-2.0 | ||
| expert-prompt-migrator 将任意专家/角色提示词规范化为可移植格式并迁移到任意 AI（DeepSeek、豆包、Kimi、Claude、Ollama 等）的实用工具。内置「清理平台语法 / 单专家单任务 / 补背景信息」三大原则、五段式提示词结构、迁移自检清单，以及 6 个原创领域专家示例（文案/简历/数据/法律/财务/英语） SkillInstall · skills CLI | 9,543 | — | ||
| ai-shaped-readiness-advisor Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build. SkillInstall · skills CLI | 8,014 | — | ||
| ljg-word Deep-dive English word mastery tool. Deconstructs a single English word into core semantics and epiphany. Use when user asks to explain/master a speci SkillInstall · skills CLI | 7,740 | MIT | ||
| ljg-writes 写作引擎。把一个观点写成可理解、可迁移、经得住反例的 1000-1500 字中文文章。USE WHEN 写文章 OR 优化思想内容 OR 展开观点 OR 改写成逻辑递进的中文。NOT FOR 普通摘要、事实查询或结构风洞（用 ljg-structure）。 SkillInstall · skills CLI | 7,740 | MIT | ||
| ai-visibility-audit Audit how visible your brand is inside AI answers (ChatGPT, Claude, Gemini, Perplexity, AI Overviews). Claude builds a prompt panel for your category, SkillInstall · skills CLI | 7,542 | — | ||
| brand-answer-monitoring Track how AI assistants describe your brand over time and catch wrong, outdated, or damaging claims. Claude builds your monitoring prompt set, compare SkillInstall · skills CLI | 7,542 | — | ||
| citation-source-gap-finder Find the exact pages AI assistants cite when answering questions in your category, and identify which ones you can get into. Claude clusters the cited SkillInstall · skills CLI | 7,542 | — | ||
| content-aeo-optimizer Rewrite existing pages so AI assistants can extract, quote, and cite them. Claude restructures your content into answer-ready blocks — direct answers, SkillInstall · skills CLI | 7,542 | — | ||
| 0g-compute 0G Compute Network guide for decentralized AI inference, fine-tuning, and GPU services. Covers chatbots, image generation, speech-to-text, SDK integra SkillInstall · skills CLI | 7,120 | — | ||
| altllm-portal-api-keys Use this skill when the user asks to list, create, inspect, update, disable, re-enable, or revoke AltLLM Portal API keys for external agents or applic SkillInstall · skills CLI | 7,120 | — | ||
| altllm-portal-auth Use this skill when the user asks to log in or out with a wallet session, fetch a wallet sign-in challenge, verify an externally signed challenge, or SkillInstall · skills CLI | 7,120 | — | ||
| antseed-connect Connect coding agents, AI SDKs, and LLM tools to the AntSeed buyer proxy. Use when configuring Claude Code, Codex, OpenCode, Pi, OpenClaw, Hermes, Gen SkillInstall · skills CLI | 7,120 | — | ||
| near-ai-cloud NEAR AI Cloud private inference and verification. Use when integrating NEAR AI Cloud API for verifiable private AI inference, verifying model or gatew SkillInstall · skills CLI | 7,120 | — | ||
| add-provider Add a DeepChat LLM provider through explicit reviewed source changes. Use when a developer asks Codex to add a provider, provider profile, upstream pr SkillInstall · skills CLI | 6,390 | Apache-2.0 | ||
| deepchat-cli Use DeepChat's bundled CLI control plane for model inference, image/video/speech generation, transcription, OCR, artifact inspection, public configura SkillInstall · skills CLI | 6,390 | Apache-2.0 | ||
| deepchat-sdd Use before substantial DeepChat code, configuration, documentation, test, build, feature, issue, refactor, or architecture changes that need a durable SkillInstall · skills CLI | 6,390 | Apache-2.0 | ||
| technology-selection Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft A SkillInstall · skills CLI | 6,155 | MIT | ||
| improve-claude-md improve a CLAUDE.md file using <important if> blocks to improve instruction adherence SkillInstall · skills CLI | 5,773 | MIT | ||
| building-python-mcp-servers Builds robust Python MCP (Model Context Protocol) servers with FastMCP — tool design, error contracts, event-loop-safe blocking work, subprocess/CLI w SkillInstall · skills CLI | 5,372 | MIT | ||
| Pollinations Access Pollinations models and API capabilities through agent tools. MCP serverGitHub-verified authorRemoteSign-in needed | 5,294 | MIT | ||
| yichen-chatgpt-web-research Use the user's already signed-in official ChatGPT website account, especially GPT-5.5 Pro / ChatGPT Pro, to perform product research, market research, SkillInstall · skills CLI | 5,261 | — | ||
| yichen-codex-chatgpt Use the signed-in ChatGPT website in Chat UI Pro mode, never Work mode, to research, architect, and review one local project through a configured Secu SkillInstall · skills CLI | 5,261 | — | ||
| yichen-grok-consult Consult or search with xAI Grok from a GPT-led Codex conversation without switching the main model. Use when the user asks Grok to answer, review, cha SkillInstall · skills CLI | 5,261 | — | ||
| gemini-api-cli Call the Gemini API from the shell with gemini-api. Use for media generation (images, TTS, music, video), file and YouTube analysis, audio/video trans SkillInstall · skills CLI | 4,482 | Apache-2.0 | ||
| gemini-api-dev Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video gen SkillInstall · skills CLI | 4,482 | Apache-2.0 | ||
| gemini-live-api-dev Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) t SkillInstall · skills CLI | 4,482 | Apache-2.0 | ||
| gemini-omni-flash-api Use this skill for generative video editing, text-to-video, image- and video-referenced video generation, first-frame-to-video, first-and-last-frame t SkillInstall · skills CLI | 4,482 | Apache-2.0 | ||
| codex-subagent Launch OpenAI Codex CLI as a subagent (ChatGPT subscription auth, no API key). Use when delegating a self-contained coding task to Codex from another SkillInstall · skills CLI | 4,309 | MIT | ||
| fable-safe-prompt Make minimal prompt edits to reduce false-positive refusals from Fable. Use only when the user explicitly invokes /fable-safe-prompt. SkillInstall · skills CLI | 4,309 | MIT | ||
| kimi-review Launch an independent Kimi K3.1 Pro Max code review and return it verbatim, falling back across harnesses and routes until one works. Use for /kimi-re SkillInstall · skills CLI | 4,309 | MIT | ||
| muse-review Launch an independent Meta Muse Wonder Max code review through Pi and OpenRouter, and return it verbatim. Use for /muse-review, or when the user or an SkillInstall · skills CLI | 4,309 | MIT | ||
| openrouter Design, build, debug, and optimize OpenRouter API integrations. Use for any OpenRouter API work, including models, reasoning, routing, media, tools, s SkillInstall · skills CLI | 4,309 | MIT | ||
| total-review Run five independent max-effort reviews (Fable 5.1, Opus 5.5, GPT-6 Astra, GPT-6.1 Sol, Muse Wonder), merge their findings, and fix only what the user SkillInstall · skills CLI | 4,309 | MIT | ||
| setup-pstack Configure which models pstack uses per role. Detects available models and writes the current runtime's override sheet. Use for /setup-pstack, "configu SkillInstall · skills CLI | 4,298 | MIT | ||
| dual-axis-skill-reviewer Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM d SkillInstall · skills CLI | 4,283 | MIT | ||
| edge-hint-extractor Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream conce SkillInstall · skills CLI | 4,283 | MIT | ||
| edge-signal-aggregator Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a SkillInstall · skills CLI | 4,283 | MIT | ||
| edge-strategy-reviewer Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Us SkillInstall · skills CLI | 4,283 | MIT | ||
| exposure-coach Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-prior SkillInstall · skills CLI | 4,283 | MIT | ||
| ftd-detector Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) wit SkillInstall · skills CLI | 4,283 | MIT | ||
| futures-position-sizer Calculate contract-based futures position sizes from a direction, entry, and stop-loss, using verified per-symbol contract specs (multiplier, tick siz SkillInstall · skills CLI | 4,283 | MIT | ||
| ibd-distribution-day-monitor Detect IBD-style Distribution Days for QQQ/SPY (close down at least 0.2% on higher volume), track 25-session expiration and 5% invalidation, count d5/ SkillInstall · skills CLI | 4,283 | MIT | ||
| institutional-flow-tracker Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and o SkillInstall · skills CLI | 4,283 | MIT | ||
| kanchi-dividend-review-monitor Monitor dividend portfolios with Kanchi-style forced-review triggers (T1-T5) and convert anomalies into OK/WARN/REVIEW states without auto-selling. Us SkillInstall · skills CLI | 4,283 | MIT | ||
| kanchi-dividend-sop Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend SkillInstall · skills CLI | 4,283 | MIT | ||
| kanchi-dividend-us-tax-accounting Provide US dividend tax and account-location workflow for Kanchi-style income portfolios. Use when users ask about qualified vs ordinary dividends, 10 SkillInstall · skills CLI | 4,283 | MIT | ||
| macro-regime-detector Detect structural macro regime transitions (1-2 year horizon) using cross-asset ratio analysis. Analyze RSP/SPY concentration, yield curve, credit con SkillInstall · skills CLI | 4,283 | MIT | ||
| manifoldbt-backtester Runs a declarative strategy spec over OHLCV bars with the manifoldbt Rust engine, pairs the fill log into round trips, and emits the eight inputs the SkillInstall · skills CLI | 4,283 | MIT | ||
| market-breadth-analyzer Quantifies market breadth health using TraderMonty's public CSV data. Generates a 0-100 composite score across 6 components (100 = healthy). No API ke SkillInstall · skills CLI | 4,283 | MIT | ||
| market-top-detector Assesses heuristic market top risk using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generat SkillInstall · skills CLI | 4,283 | MIT | ||
| accelerated-computing-cudf Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable seman SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| boltz2-nim Use Boltz2 NIM for biomolecular structure prediction and binding affinity. Invoke for Boltz2, protein structures, protein-ligand/DNA/RNA complexes, SM SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| codonfm-embed Validate coding-sequence CSVs, extract public CodonFM/Encodon embeddings, and choose checkpoints for downstream property modeling. SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| codonfm-finetune Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. Use when a SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| codonfm-score Validate, prepare, or run public CodonFM Encodon masked-codon variant scoring and review compatibility of its scoring workflows. Use only when the use SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| codonfm-setup Set up the public CodonFM v1 repository and download public Encodon checkpoints. Use for requests to build or launch the CodonFM development container SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| complexa-evaluate-pdbs Agent runbook for evaluating an existing PDB directory through the separately installed first-party Proteina-Complexa CLI. Use to refold or score desi SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| complexa-sweep Agent runbook for Proteina-Complexa parameter sweeps through the separately installed first-party CLI and config generator. Use for cartesian-product SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| complexa-target Add, edit, inspect, or validate Proteina-Complexa target definitions for protein binders, ligand binders, and AME motif scaffolding. Use for target re SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| cuequivariance Use when defining cuEquivariance groups and irreps, building equivariant tensor products, or validating segmented polynomials with NumPy. SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| cuequivariance-jax Use when writing or debugging cuEquivariance JAX polynomials, irrep dictionaries, Flax NNX layers, or CPU/CUDA execution and layouts. SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| cuequivariance-torch Use when building or debugging cuEquivariance PyTorch tensor products or equivariant GNNs, especially CPU references, layouts, indexing, and gradients SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| diffdock-nim Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. Use for DiffDock, molecular docking, li SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| drug-discovery-pipeline NOTE: molecule and target inputs and your NGC_API_KEY are transmitted to external NVIDIA-hosted API endpoints on every call. Use local NIM containers SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| evo2-nim Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. Use for Evo2/Evo 2, DNA generation, genomic sequence generation, hos SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| genmol-nim Generate novel drug-like molecules using the GenMol NIM microservice. Use for de novo generation, scaffold decoration, motif extension, lead optimizat SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| nemotron-asr-finetune Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal like "improve/fine-tune ASR for my domai SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| nemotron-customize Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoMod SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| nemotron-policy-generator Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotr SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| nemotron-retrieval-recipes Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes. SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| nemotron-speech Routes NVIDIA Nemotron Speech (Formerly Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted. SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| nemotron-voice-agent-builder Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Use when building, scaffolding, or iterating on a real-time voi SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| nvidia-skill-finder Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, soft SkillInstall · skills CLI | 3,954 | Apache-2.0 | ||
| nvidia-skills Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, an PluginAnthropic marketplace | 3,954 | Apache-2.0 | ||
| agentica-claude-proxy Guide for integrating Agentica SDK with Claude Code CLI proxy SkillInstall · skills CLI | 3,949 | MIT | ||
| agentica-server Agentica server + Claude proxy setup - architecture, startup sequence, debugging SkillInstall · skills CLI | 3,949 | MIT | ||
| braintrust-analyze Analyze Claude Code sessions via Braintrust SkillInstall · skills CLI | 3,949 | MIT | ||
| braintrust-tracing Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging SkillInstall · skills CLI | 3,949 | MIT | ||
| cli-reference Claude Code CLI commands, flags, headless mode, and automation patterns SkillInstall · skills CLI | 3,949 | MIT | ||
| math Unified math capabilities - computation, solving, and explanation. I route to the right tool. SkillInstall · skills CLI | 3,949 | MIT | ||
| trace-claude-code Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical t SkillInstall · skills CLI | 3,949 | MIT | ||
| cs-foundations Master discrete mathematics, logic, formal proofs, and computational thinking. Build the mathematical foundation for all computer science. SkillInstall · skills CLI | 3,816 | Apache-2.0 | ||
| dialectic Minimal compatibility wrapper for vibe Dialectic Mode (multi-perspective design analysis). SkillInstall · skills CLI | 3,816 | Apache-2.0 | ||
| LQF_Machine_Learning_Expert_Guide LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, p SkillInstall · skills CLI | 3,816 | Apache-2.0 | ||
| MCP Integration This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context P SkillInstall · skills CLI | 3,816 | Apache-2.0 | ||
| prompt-lookup Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, ret SkillInstall · skills CLI | 3,816 | Apache-2.0 | ||
| pymc-bayesian-modeling Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic p SkillInstall · skills CLI | 3,816 | Apache-2.0 | ||
| pytorch-lightning Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelin SkillInstall · skills CLI | 3,816 | Apache-2.0 | ||
| scenario Use when connecting an AI agent to Scenario (scenario.com) through MCP, or when a task involves generating images, video, 3D, audio, sprites, textures SkillInstall · skills CLI | 3,764 | MIT | ||
| scenario-model-comparison Use when comparing Scenario models on the same brief through MCP: a bake-off with shared prompts and inputs, cost, generation time and quality measure SkillInstall · skills CLI | 3,764 | MIT | ||
| scenario-model-training Use when generated assets must keep a consistent style, character, or product look and references stop scaling, or when a user asks to train a custom SkillInstall · skills CLI | 3,764 | MIT | ||
| scenario-moderation Use when a Scenario generation is blocked, refused, or returns a moderation or sensitive-content error, when a video is rejected after rendering or it SkillInstall · skills CLI | 3,764 | MIT | ||
| scenario-quality-gate Use when a generated Scenario image needs a quality check or a brand-brief compliance verdict before it ships: pass/warn/fail scoring, on-brand review SkillInstall · skills CLI | 3,764 | MIT | ||
| scenario-refine-loop Use when a Scenario output must be checked and improved rather than accepted first roll: iterating a generation until it matches the brief, fixing a b SkillInstall · skills CLI | 3,764 | MIT | ||
| pinme-llm Use this skill when a PinMe project (Worker TypeScript) needs to call OpenRouter-backed LLM APIs, including models, chat/completions, streaming, or Op SkillInstall · skills CLI | 3,760 | MIT | ||
| localaipicks Find open-weight AI models that run on the user's own hardware with Local AI Picks, with weight file sizes, memory needs, sources and test status. Use SkillInstall · skills CLI | 3,743 | MIT | ||
| perq Find verified free AI credits, free tiers, startup programs and student perks for LLM APIs, GPUs, voice, databases and dev tools through Perq's read-o SkillInstall · skills CLI | 3,743 | MIT | ||
| routerbase-model-gateway Integrate and route AI model requests through RouterBase. Use when migrating OpenAI-compatible clients, choosing model IDs, configuring fallbacks, or SkillInstall · skills CLI | 3,743 | MIT | ||
| llm-wiki Explain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decis SkillInstall · skills CLI | 3,724 | MIT | ||
| ctf-ai-ml Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extracti SkillInstall · skills CLI | 3,701 | MIT | ||
| ctf-crypto Provides cryptography attack techniques for CTF challenges. Use when attacking encryption, hashing, signatures, ZKP, PRNG, or mathematical crypto prob SkillInstall · skills CLI | 3,701 | MIT | ||
| ctf-forensics Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captur SkillInstall · skills CLI | 3,701 | MIT | ||
| ctf-malware Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto SkillInstall · skills CLI | 3,701 | MIT | ||
| ctf-misc Provides miscellaneous CTF challenge techniques for problems that do not cleanly fit the main categories. Use for encoding puzzles, pyjails, bash jail SkillInstall · skills CLI | 3,701 | MIT | ||
| ctf-osint Provides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS re SkillInstall · skills CLI | 3,701 | MIT | ||
| ctf-pwn Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory co SkillInstall · skills CLI | 3,701 | MIT | ||
| Claude Code Explorer MCP Explore the Claude Code CLI source — browse tools, commands, search code, and more. MCP serverGitHub-verified authorLocal · npm | 3,437 | — | ||
| azure-ai Build and troubleshoot Azure AI Search, Speech, OpenAI, and Document Intelligence apps. WHEN: AI Search, query search, vector search, hybrid search, s SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-anomalydetector-java Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, tim SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-contentsafety-java Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text/image analysis, blocklist management, or h SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-contentsafety-py Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification. Triggers: "azure-ai-c SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-contentunderstanding-py Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video. Triggers: "azure-ai-con SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-formrecognizer-java Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Use for extracting text, tables, key-value pairs from documents SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-language-conversations-py Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysis SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-ml-py Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-openai-dotnet Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcri SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-projects-ts Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connecti SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-textanalytics-py Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural lang SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-transcription-py Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. Triggers: "transcript SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-translation-document-py Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and o SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-translation-text-py Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text con SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-translation-ts Build translation applications using Azure Translation SDKs for JavaScript (@azure-rest/ai-translation-text, @azure-rest/ai-translation-document). Use SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-vision-imageanalysis-java Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, ta SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-vision-imageanalysis-py Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understan SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-voicelive-java Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: "VoiceLiveClient java", "vo SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-voicelive-py Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need r SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-ai-voicelive-ts Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice ass SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-mgmt-arizeaiobservabilityeval-dotnet Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET). Use when managing Arize AI organizations \non Azure via Azure Marketplace SkillInstall · skills CLI | 3,203 | MIT | ||
| azure-mgmt-weightsandbiases-dotnet Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, SkillInstall · skills CLI | 3,203 | MIT | ||
| finetuning Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, train SkillInstall · skills CLI | 3,203 | MIT | ||
| microsoft-foundry Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, a SkillInstall · skills CLI | 3,203 | MIT | ||
| compute-ladder Model selection by provider health, not task complexity. Tier 0 (local) handles most tasks. Paid models are break-glass only. Fallbacks activate on 42 SkillInstall · skills CLI | 2,988 | MIT | ||
| llm-council Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Credentials come f SkillInstall · skills CLI | 2,955 | — | ||
| llm-gate LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Us SkillInstall · skills CLI | 2,955 | — | ||
| skill-optimizer SkillOpt-flavored offline training loop for any SKILL.md. Treats accumulated learn-rule corrections as training trajectories, proposes bounded patches SkillInstall · skills CLI | 2,955 | — | ||
| token-efficiency Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Insp SkillInstall · skills CLI | 2,955 | — | ||
| adapting-transfer-learning-models Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. it is triggered when the user req SkillInstall · skills CLI | 2,919 | MIT | ||
| analyzing-text-sentiment Execute this skill enables AI assistant to analyze the sentiment of text data. it identifies the emotional tone expressed in text, classifying it as p SkillInstall · skills CLI | 2,919 | MIT | ||
| analyzing-text-with-nlp Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. it should be used SkillInstall · skills CLI | 2,919 | MIT | ||
| building-automl-pipelines Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from SkillInstall · skills CLI | 2,919 | MIT | ||
| building-classification-models Build and evaluate classification models for supervised learning tasks with labeled data. Use when requesting "build a classifier", "create classifica SkillInstall · skills CLI | 2,919 | MIT | ||
| building-neural-networks Execute this skill allows AI assistant to construct and configure neural network architectures using the neural-network-builder plugin. it should be u SkillInstall · skills CLI | 2,919 | MIT | ||
| building-recommendation-systems Execute this skill empowers AI assistant to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approac SkillInstall · skills CLI | 2,919 | MIT | ||
| cortex ML/AI engineer — LLM integrations, prompt engineering, model pipelines, evals, RAG. SkillInstall · skills CLI | 2,919 | MIT | ||
| cortex-integrate Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use w SkillInstall · skills CLI | 2,919 | MIT | ||
| cortex-model Build an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "cl SkillInstall · skills CLI | 2,919 | MIT | ||
| cortex-prompt Build a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria. Use when asked to "promp SkillInstall · skills CLI | 2,919 | MIT | ||
| cortex-recon ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML asse SkillInstall · skills CLI | 2,919 | MIT | ||
| deploying-machine-learning-models Deploy this skill enables AI assistant to deploy machine learning models to production environments. it automates the deployment workflow, implements SkillInstall · skills CLI | 2,919 | MIT | ||
| engineering-features-for-machine-learning Execute create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analys SkillInstall · skills CLI | 2,919 | MIT | ||
| evaluating-machine-learning-models Build this skill allows AI assistant to evaluate machine learning models using a comprehensive suite of metrics. it should be used when the user reque SkillInstall · skills CLI | 2,919 | MIT | ||
| forecasting-time-series-data Process this skill enables AI assistant to forecast future values based on historical time series data. it analyzes time-dependent data to identify tr SkillInstall · skills CLI | 2,919 | MIT | ||
| gcp-examples-expert Generate production-ready Google Cloud code examples from official repositories including ADK samples, Genkit templates, Vertex AI notebooks, and Gemi SkillInstall · skills CLI | 2,919 | MIT | ||
| ollama-setup Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: " SkillInstall · skills CLI | 2,919 | MIT | ||
| optimizing-deep-learning-models Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize SkillInstall · skills CLI | 2,919 | MIT | ||
| performing-regression-analysis Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin. it analyzes datasets, SkillInstall · skills CLI | 2,919 | MIT | ||
| processing-computer-vision-tasks Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classificatio SkillInstall · skills CLI | 2,919 | MIT | ||
| running-clustering-algorithms Analyze datasets by running clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups. Use when requesting "run clustering", "clus SkillInstall · skills CLI | 2,919 | MIT | ||
| setting-up-experiment-tracking Implement machine learning experiment tracking using MLflow or Weights & Biases. Configures environment and provides code for logging parameters, metr SkillInstall · skills CLI | 2,919 | MIT | ||
| tracking-model-versions Build this skill enables AI assistant to track and manage ai/ml model versions using the model-versioning-tracker plugin. it should be used when the u SkillInstall · skills CLI | 2,919 | MIT | ||
| training-machine-learning-models Build train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures paramete SkillInstall · skills CLI | 2,919 | MIT | ||
| tuning-hyperparameters Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to max SkillInstall · skills CLI | 2,919 | MIT | ||
| typesafe-ai TypeSafe integration craft for System One models (sometimes called Decision Models) such as Jev, which answer typed questions about text, images, and SkillInstall · skills CLI | 2,899 | MIT | ||
| llm-integration LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization SkillInstall · skills CLI | 2,838 | Apache-2.0 | ||
| codex Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Us SkillInstall · skills CLI | 2,679 | MIT | ||
| ai-multimodal Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarizatio SkillInstall · skills CLI | 2,244 | — | ||
| skill-creator Create or update Claude skills. Use for new skills, skill references, skill scripts, optimizing existing skills, extending Claude's capabilities. SkillInstall · skills CLI | 2,244 | — | ||
| add-newcli-provider 为 OpenClaw 配置 code.newcli.com 作为模型源，包含四个 provider：newcli（Claude 主线路）、newcli-aws（Claude AWS 特价线路，消耗 1/24）、newcli-codex（GPT 系列）、newcli-gemini（Gemini 系列） SkillInstall · skills CLI | 2,192 | MIT | ||
| agi-evolution-model 基于双环架构的AGI进化模型，通过意向性分析、人格层映射和元认知检测实现持续自我演进；当用户需要智能对话、人格定制或复杂问题求解时使用 SkillInstall · skills CLI | 2,192 | MIT | ||
| AI Rankings Leaderboard Comprehensive AI leaderboard for LLM models and AI applications. Query model rankings, model IDs, and pricing from OpenRouter, Artificial Analysis, an SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-md AI.MD — Convert any human-written CLAUDE.md into AI-native structured format. Your CLAUDE.md is read by AI every single turn, not by you — so write it SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-model-router Intelligent AI model router that automatically switches between two configured models (local for simple tasks, cloud for complex ones). Detects local SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-ppt-generator Generate PPT with Baidu AI. Smart template selection based on content. SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-scam-defense Identify and defend against AI-powered scams including deepfakes, voice cloning, AI phishing, and fake job offers. Use when someone received a suspici SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-security Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-shifu-course-creator Convert raw course material into optimized, runnable MarkdownFlow teaching scripts and deploy them as live courses through a five-phase pipeline cover SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-task-hub AI task hub for image analysis, background removal, speech-to-text, text-to-speech, markdown conversion, and async execute/poll/presentation orchestra SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-text-to-video-generator The ai-text-to-video-generator skill on ClawHub transforms written prompts into fully rendered video content through a conversational interface. Descr SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-travel Travel as an AI agent on drifts.bot. Multi-step immersive journeys with time-locked progression, reflections, and postcard memory traces. Browse exper SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-video-business-travel-video Optimize work trips with productivity hacks, airport tips, and hotel reviews using AI — generate business travel videos covering flight booking strate SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-video-honeymoon-video Plan and film the perfect post-wedding romantic getaway with AI — generate honeymoon videos covering destination selection for couples, luxury resort SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-video-travel-photography-video Teach composition, lighting, and storytelling for stunning travel shots with AI — generate travel photography videos covering golden hour technique, s SkillInstall · skills CLI | 2,192 | MIT | ||
| ai-viral-team-script-writing 脚本创作 - 短视频脚本撰写与分镜设计 职责：根据爆款模板生产内容、设计黄金3秒开头方案（3种以上）、撰写分镜脚本（包含镜头语言/场景氛围/角色动作/台词/BGM）、设计槽点埋梗与情绪钩子、规划结尾引导、自动推荐Vidu视频生成配置（模型版本/生成方式/时长/比例）、确保人物形象一致性、向视频生成( SkillInstall · skills CLI | 2,192 | MIT | ||
| alchemy-official Official Alchemy skill. Two auth modes: API key or x402 Agentic Gateway (no key needed). Complete coverage for ~100 chains: Token API, NFT API, Transf SkillInstall · skills CLI | 2,192 | MIT | ||
| alchemy-openapi-skill Operate Alchemy Prices API reads through UXC with a curated OpenAPI schema, path-templated API-key auth, and read-first guardrails. SkillInstall · skills CLI | 2,192 | MIT | ||
| humanizer Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 patt SkillInstall · skills CLI | 2,192 | MIT | ||
| skill-scanner Scan any agent skill for security risks before you install or use it. Powered by Tencent Zhuque Lab A.I.G (AI-Infra-Guard). 100% local static analysis SkillInstall · skills CLI | 2,192 | MIT | ||
| wan Generate AI videos and images using Alibaba's Wan 2.6 and Wan 2.5 — featuring text-to-video, image-to-video, video-to-video, text-to-image, and image SkillInstall · skills CLI | 2,192 | MIT | ||
| chatgpt-app-builder Guide developers through creating and updating ChatGPT plugins. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping pr SkillInstall · skills CLI | 2,191 | MIT | ||
| New-Term Radar New AI model, product and repo names as they surface, and the search terms behind them, sized. MCP serverGitHub-verified authorLocal · PyPI | 2,168 | MIT | ||
| fireworks-inference Run inference on Fireworks AI — direct, through the Leanmcp AI Gateway proxy (aigateway.leanmcp.com) for observability, or via LiteLLM / the OpenAI SD SkillInstall · skills CLI | 2,125 | MIT | ||
| tinker-training-inference Train and run models on Tinker (Thinking Machines) — LoRA and full fine-tuning, SFT with correct loss masking, RL/RFT with group-relative advantages a SkillInstall · skills CLI | 2,125 | MIT | ||
| ai-engineer Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, a SkillInstall · skills CLI | 2,009 | MIT | ||
| llm-application-dev-ai-assistant Design conversational assistants with context management, response generation, and LLM integration. Use when building chatbots or planning assistant a SkillInstall · skills CLI | 2,009 | MIT | ||
| ml-engineer Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and mo SkillInstall · skills CLI | 2,009 | MIT | ||
| mlops-engineer Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. Implements automated traini SkillInstall · skills CLI | 2,009 | MIT |
Filters apply to the top 400 of 2,001 tools by stars. Full list for agents: ai-models.json