1,847 free skills
AI & ML skills
Skills for AI/ML work — LLM prompt engineering, RAG pipelines, vector databases, fine-tuning, and agent orchestration.
Sourced from real, public repositories — synced daily, never invented.
1,847 free skills
Skills for AI/ML work — LLM prompt engineering, RAG pipelines, vector databases, fine-tuning, and agent orchestration.
Sourced from real, public repositories — synced daily, never invented.
15 tools across six categories
13 of them never send your data anywhere
Free · No signup · No trial clock
SEE THE DIRECTORY
rag-auditor
mathews-tom/armory
Evaluates RAG pipeline quality across retrieval (precision, recall, MRR) and generation (groundedness, hallucination rate). Triggers on: "audit RAG pipeline", "RAG quality", "hallucination detection", "why is RAG failing", "grounding check". NOT for general architecture audits, use architecture-reviewer.
exploring-llm-traces
posthog/skills
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ai-ml-integration
miles990/claude-software-skills
AI/ML APIs, LLM integration, and intelligent application patterns
gauntlet-curate
athola/claude-night-market
Audits the DSA problem bank for coverage gaps and proposes new YAML entries. Use when refreshing the problem bank during update-plugins runs.
fluff-detector
majesticlabs-dev/majestic-marketplace
Detect human-oriented content in LLM artifacts. Flags attribution, personas, redundant explanations, marketing language, and decorative elements that waste tokens without improving LLM behavior.
rag-implementation
ovachiever/droid-tings
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
prava-sdk-integration
prava-payments/prava-skills
Integrate Prava's payment SDK into AI applications — securely collect cards via PCI-compliant iframe, enroll for Visa tokenized payments, enable repeat purchases with passkey (biometric) verification, and poll for one-time payment credentials (network token + dynamic CVV). For AI application integration, not for AI agent CLI usage.
prompt-engineering
ancoleman/ai-design-components
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
mcp-builder
waybarrios/opencode-power-pack
Guide the creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when the user wants to build an MCP server to integrate an external API or service, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
aeo-geo-optimizer
thatrebeccarae/claude-marketing
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.
survey-generator
rohitg00/pro-workflow
Compile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in `<wiki>/derived/surveys/<slug>.md` with full bibliography rows in `sources.md`. Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom OpenAI-compat). Use when the user asks for a "survey", "literature review", "lit review", or "deep dive" on a technical topic.
llm-training
eyadsibai/ltk
Use when "training LLM", "finetuning", "RLHF", "distributed training", "DeepSpeed", "Accelerate", "PyTorch Lightning", "Ray Train", "TRL", "Unsloth", "LoRA training", "flash attention", "gradient checkpointing
pin-llm-wiki
ndjordjevic/pin-llm-wiki
Automates the Karpathy LLM Wiki workflow: turns web, GitHub, and YouTube URLs into well-structured, citable, wikilinked pages with automatic linting and sourcing — invoke with /pin-llm-wiki
llms-txt
thatrebeccarae/claude-marketing
Generate and maintain llms.txt files for AI discoverability. Scans repos to create curated content maps that help AI answer engines surface your project accurately. Implements the llms.txt specification from Answer.AI.
wiki-lint
kfchou/wiki-skills
Use when auditing a wiki for health issues — contradictions between pages, orphan pages, broken cross-references, stale claims, missing pages, or coverage gaps. Run after every 5-10 ingests.
upstash-box-js
upstash/skills
Work with the @upstash/box TypeScript/JavaScript SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, and a headless browser. Use when building with Upstash Box, creating sandboxed environments, running AI agents in containers, browser automation from a box, or orchestrating parallel boxes.
paraglide-js-internationalization-i18n
oimiragieo/agent-studio
Details Paraglide.js i18n implementations.
gamedev-expert
oimiragieo/agent-studio
Game development expert including DragonRuby, Unity, and game mechanics
tigris-objects
tigrisdata/tigris-agents-plugins
Use when uploading, downloading, listing, moving, deleting, or presigning objects in Tigris Storage
agent-creator
oimiragieo/agent-studio
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
rag-implementation
hermeticormus/libreuiux-claude-code
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
rag-frameworks
eyadsibai/ltk
Use when "RAG", "retrieval augmented generation", "LangChain", "LlamaIndex", "sentence transformers", "embeddings", "document QA", "chatbot with documents", "semantic search
9router-embeddings
decolua/9router
Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.
firebase-storage
evanca/flutter-ai-rules
Use when setting up Storage, uploading/downloading files, managing metadata, handling errors, or applying security rules.
octocode-documentation-writer
bgauryy/octocode
This skill should be used when the user asks to "generate documentation", "document this project", "create docs", "write documentation", "update documentation", "document all APIs", "generate onboarding docs", "create developer docs", or needs comprehensive codebase documentation. Orchestrates parallel AI agents to analyze code and produce documentation files.
kanban-dnd
blink-new/claude
Build world-class kanban board drag-and-drop with @dnd-kit. Linear-quality UX with proper collision detection, smooth animations, and visual feedback
wiki-update
kfchou/wiki-skills
Use when revising existing wiki pages because knowledge has changed, a new piece of information updates or contradicts existing content, or the user wants to directly edit wiki content with LLM assistance.
langchain-architecture
hermeticormus/libreuiux-claude-code
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
cargo-llvm-cov
laurigates/claude-plugins
cargo-llvm-cov: Rust code coverage with LLVM instrumentation. Use when measuring coverage, enforcing thresholds, generating reports, or integrating codecov/coveralls.
model-context
bobmatnyc/claude-mpm-skills
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
firecrawl
tdimino/claude-code-minoan
Scrape web pages to clean markdown using Firecrawl v2 — handles JS-heavy pages, site crawls, URL mapping, document parsing (PDF/DOCX/XLSX), LLM-powered extraction, autonomous agent scraping, and post-scrape browser interaction (Interact API). Prefer over WebFetch for quality and completeness. Triggers on scrape URL, fetch page, crawl site, extract content, parse document, web to markdown, DeepWiki, Firecrawl.
bmad-project-context
bmad-code-org/bmad-method
Set up, adopt, refresh, or audit a repository''s agent instructions (the AGENTS.md block) so AI agents work well in that repo. Also records observed agent mistakes as pitfalls. Use when invoked by name
ai-ml-expert
oimiragieo/agent-studio
AI and ML expert covering PyTorch, TensorFlow, Hugging Face, scikit-learn, LLM integration, RAG pipelines, MLOps, and production ML systems
agent-memory
pluginagentmarketplace/custom-plugin-ai-agents
Implement agent memory - short-term, long-term, semantic storage, and retrieval
scientific-llm-benchmarks
akillness/jeo-skills
A comprehensive reference of benchmarks for evaluating large language models on scientific reasoning and discovery.
mcp-expert
oakoss/agent-skills
Architects and orchestrates Model Context Protocol (MCP) ecosystems including server development, tool design, and transport configuration. Use when building MCP servers, designing agentic tool interfaces, configuring MCP transports, implementing OAuth security, or troubleshooting MCP connectivity. Use for outcome-oriented tools, Zod validation, progressive disclosure resources, elicitation, and async tasks.
moon-dev-trading-agents
microck/ordinary-claude-skills
Master Moon Dev's Ai Agents Github with 48+ specialized agents, multi-exchange support, LLM abstraction, and autonomous trading capabilities across crypto markets
cloud-storage
claude-dev-suite/claude-dev-suite
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check-rust-coverage
redisearch/redisearch
Check which Rust lines are not covered by Rust tests. Use this when you developed new Rust code and want to ensure it is tested.
typescript-providers
composiohq/composio
Implement, modify, test, or document TypeScript provider packages under ts/packages/providers, including framework adapters for OpenAI, Anthropic, Google, LangChain, Mastra, Vercel, LlamaIndex, Cloudflare, and Claude Agent SDK. Use for provider-specific TS work; do not use for core-only changes.
mastra-embedded-docs-look-up
mastra-ai/skills
Look up current API signatures from installed Mastra packages in node_modules/@mastra/*/dist/docs/. Use this skill to verify exact parameters, constructor arguments, and function signatures that match the installed version. Mastra APIs evolve rapidly - embedded docs ensure accuracy. Covers: Agent constructor parameters, Workflow API, Tool API, Memory configuration, Storage options, and all @mastra/* package exports. Returns actual TypeScript definitions and JSDoc from installed packages. Always use for API verification questions to prevent outdated answers.
tavily-api-expert
tavily-ai/tavily-plugins
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
dspy-rlm-module
intertwine/dspy-agent-skills
Use dspy.RLM (Recursive Language Model) for reasoning over contexts too large to fit in an LLM's working window — entire codebases, long logs, massive documents, or multi-step data exploration that needs a sandboxed Python REPL. Use when the input is >100k tokens, needs recursive chunking, or benefits from the LLM writing and running code to probe data.
llm-wiki
lewislulu/llm-wiki-skill
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microsoft-priva
vinayaklatthe/microsoft-security-skills
Guidance for Microsoft Priva — privacy risk management and subject rights requests. Covers Priva Privacy Risk Management and Priva Subject Rights Requests to find privacy risks and fulfill data subject requests (GDPR/CCPA). WHEN: Microsoft Priva, privacy risk management, subject rights request, DSAR, data subject request, GDPR fulfillment, privacy risk policies, data minimization, overexposed personal data.
automl-pipeline-setup
dengineproblem/agents-monorepo
Эксперт AutoML. Используй для automated machine learning, hyperparameter tuning и model selection.
syncfusion-winforms-tabcontrol
syncfusion/winforms-ui-components-skills
Guide for implementing Syncfusion TabControlAdv in Windows Forms applications. Use when creating tabbed interfaces, organizing content in tabs, or building professional tab navigation systems. Covers tab pages, tab styling, close buttons, drag-drop tabs, tab customization, and appearance options for TabControlAdv-based applications.
packx
johnlindquist/claude
Bundle code context for AI. ALWAYS use --limit 49k unless user explicitly requests otherwise. Use for creating shareable code bundles and preparing context for LLMs.
moonbit-agent-guide
moonbitlang/moonbit-agent-guide
Guide for writing, refactoring, and testing MoonBit projects. Use when working in MoonBit modules or packages, organizing MoonBit files, using moon tooling (build/check/run/test/doc/ide etc.), or following MoonBit-specific layout, documentation, and testing conventions.
data-management
dralgorhythm/claude-agentic-framework
Design and manage data storage effectively. Use when working with databases, schemas, or data migrations. Covers schema design, migrations, and data integrity.
supabase
dicklesworthstone/agent_flywheel_clawdbot_skills_and_integrations
Manage Supabase projects, databases, migrations, Edge Functions, and storage using the `supabase` CLI.
using-vector-databases
ancoleman/ai-design-components
Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.
deskctl
harivansh-afk/deskctl
Non-interactive X11 desktop control for AI agents. Use when the task involves controlling a Linux desktop - clicking, typing, reading windows, waiting for UI state, or taking screenshots inside a sandbox or VM.
turso
oakoss/agent-skills
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langgraph-agent-patterns
soba-labs/langchain-agent-skills
Implement multi-agent coordination patterns (supervisor-subagent, router, orchestrator-worker, handoffs) for LangGraph applications. Use when users want to (1) implement multi-agent systems, (2) coordinate multiple specialized agents, (3) choose between coordination patterns, (4) set up supervisor-subagent workflows, (5) implement router-based agent selection, (6) create parallel orchestrator-worker patterns, (7) implement agent handoffs, (8) design state schemas for multi-agent systems, or (9) debug multi-agent coordination issues.
mariadb-vector
mariadb/skills
Best practices for using vectors and AI with MariaDB. Use when writing SQL involving VECTOR columns, building RAG or semantic search with MariaDB, choosing embedding models, designing vector indexes, or integrating MariaDB with AI frameworks like LangChain, LlamaIndex, or Spring AI. Also use when the user mentions MariaDB and any of: vectors, embeddings, similarity search, nearest neighbor, AI, RAG, or LLM. IMPORTANT — MariaDB has native built-in vector support since version 11.7; it is NOT a plugin or extension (unlike pgvector for PostgreSQL). Do not recommend installing any extension.
anycable-coder
majesticlabs-dev/majestic-marketplace
Use when implementing real-time features requiring reliability, especially LLM streaming. Applies AnyCable patterns for message delivery guarantees, presence tracking, and Action Cable migration.
single-cell-annotation-skills-with-omicverse
omicverse/omicverse
Cell type annotation: SCSA, MetaTiME, CellVote consensus, CellMatch, GPTAnno, weighted KNN label transfer in OmicVerse.
db-indexing
hainrixz/claude-db
Audit index coverage for the query workload — composite index column order (ESR), covering and partial indexes, specialized types (GIN/GiST/BRIN, FTS, geo, JSONB-GIN), and foreign keys with no covering index. Module M11. Feeds the Performance & Scale score.
project-status-report
mohitagw15856/pm-claude-skills
Write a structured project status report for any project. Use when asked to write a project update, status report, RAG report, project dashboard narrative, or weekly project communication. Produces a clear status report with RAG ratings, milestone progress, risks, and decisions needed.