Agent Skills
Instruction packs that give your AI agent know-how — some work anywhere, some only with the tool they came with.
✦ Standalone skills3,373
Self-contained. Install one into any project and it works on its own — no other software needed.
🧰 Tool add-ons952
Come bundled with a specific tool and only work together with it — they teach your agent how to operate that tool.
AI & Machine Learning
6 standalone skills
tear-sheet
✓★ 33,111by anthropic
Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or ticker. Also trigger when users ask for equity research summaries, M&A company profiles, corporate development target profiles, sales/BD meeting prep documents, or any concise single
twilio-enterprise-knowledge
✓★ 4,081by openai
Add knowledge retrieval to AI agents using Twilio's Enterprise Knowledge product. Enterprise Knowledge is a centralized, searchable repository of your organization's documents, websites, and content — FAQs, support policies, warranty terms, product catalogs. Current models don't have access to how you run your business today. Enterprise Knowledge gives agents a way to query this repository during a conversation and ground their responses in your actual approved source material. This skill covers
wiki-llms-txt
✓★ 2,676by microsoft
Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models.
fetching-dbt-docs
★ 608by dbt-labs
Retrieves and searches dbt documentation pages in LLM-friendly markdown format. Use when fetching dbt documentation, looking up dbt features, or answering questions about dbt Cloud, dbt Core, or the dbt Semantic Layer.
repo-intake-and-plan
★ 504by lllllllama
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
langchain-rag
★ 108by langchain-ai
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).