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
docling
existential-birds/beagle
Docling document parser for PDF, DOCX, PPTX, HTML, images, and 15+ formats. Use when parsing documents, extracting text, converting to Markdown/HTML/JSON, chunking for RAG pipelines, or batch processing files. Triggers on DocumentConverter, convert, convert_all, export_to_markdown, HierarchicalChunker, HybridChunker, ConversionResult.
nowait-reasoning-optimizer
davila7/claude-code-templates
Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize reasoning", "reduce thinking tokens", "efficient inference", "suppress reflection tokens", or when working with verbose CoT outputs.
sadd:do-and-judge
neolabhq/context-engineering-kit
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
catalog-documentation-creator
event-catalog/skills
Generates EventCatalog documentation files (systems, services, agents, events, commands, queries, domains, flows, channels, containers, ADRs, data products, entities, diagrams) with correct frontmatter, folder structure, and best practices. Use when user asks to "document a system", "document a service", "document an agent", "document an AI agent", "create EventCatalog files", "add an event to the catalog", "document my architecture", "generate catalog documentation", "create documentation for my microservice", "document a database", "create an ADR", "document a data product", or "document an entity".
llm-application-dev
moizibnyousaf/ai-agent-skills
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
llm-security
zhaoxuya520/reverse-skill
Use for authorized security assessment of LLM applications and AI agents, including prompt injection, tool abuse, RAG exposure, memory poisoning, and model supply-chain risks.
research-ideation
evoscientist/evoskills
End-to-end research ideation pipeline: literature grounding → multi-track idea generation (3 personas: innovator/pragmatist/critic) → iterative refinement → ELO tournament ranking → update evo-memory (IDE) → user selects direction → expand into manuscript-quality proposal. Use when: user wants to find a research direction, brainstorm ideas, evaluate idea novelty, design a novel solution, rank/compare research ideas, or generate a research proposal. Do NOT use for finding/searching/reading papers (use paper-navigator), literature survey reports (use research-survey), or planning a paper (use paper-planning).
predexon-prediction-market-trading-1-5-teneo
teneoprotocolai/teneo-skills
AI agent for Predexon Prediction Market Trading 1.5 via Teneo Protocol. Use this skill when the user needs Predexon Prediction Market Trading 1.5 via the bundled Teneo CLI and you need the live commands, arguments, or pricing before execution.
cobo-agentic-wallet-sandbox
cobosteven/cobo-agent-wallet-manual
Create and manage agentic wallets with Cobo. Use for autonomous onchain operations via the caw CLI: token transfers, contract calls, pact creation and approval, DeFi execution (Uniswap, Aave, Jupiter), and wallet onboarding on EVM chains and Solana. Triggers on requests involving caw, MPC wallet, TSS node, agent wallet, Cobo, pact, or any crypto wallet operation for AI agents. NOT for fiat payments or bank transfers.
create-agent-with-sanity-context
sanity-io/agent-context
Build AI agents with structured access to Sanity content via Sanity Context. Use when setting up a Sanity-powered chatbot, connecting an AI assistant to Sanity content, or adding client-side tools to an agent. Covers Studio setup, agent implementation, and advanced patterns. Always use this skill when users mention building a chatbot with Sanity, creating an AI assistant for their content, setting up the Sanity Context MCP server, integrating Sanity with Claude/GPT/any LLM, making content searchable by AI, implementing semantic search over Sanity data, or connecting their CMS to an AI agent.
conflicts-of-interest
joellewis/finance_skills
Identify, disclose, and mitigate conflicts of interest in advisory and brokerage relationships under Reg BI and fiduciary duty. Use when the user asks about compensation-based conflicts, proprietary product incentives, revenue sharing disclosure, principal trading consent, soft dollar arrangements, pay-to-play restrictions, gifts and entertainment limits, personal trading policies, or code of ethics requirements. Also trigger when users mention 'is this a conflict', 'recommending our own funds', 'higher payout on annuities', 'outside business activity conflicts', 'allocation fairness across accounts', 'political contribution to a pension board member', or ask how to disclose or eliminate a conflict.
xauusd-trading
huynguyen03dev/xauusd-trading
Fetch XAUUSD (Gold) price data and analyze it using LLM reasoning to generate scalping signals. Optimized for small accounts with tight stop losses (5 points). Use 5m/15m timeframes for precise entry timing.
character-naming
jwynia/agent-skills
Break LLM name defaults with external entropy. Use when character names cluster around statistical medians (Chen, Patel, Maya, Marcus), when cast has collision risks, or when fantasy cultures need phonologically consistent naming.
fee-disclosure
joellewis/finance_skills
Evaluate whether the substance of fee and cost disclosures is complete, accurate, and not misleading across advisory, brokerage, fund, and retirement plan contexts. Use when the user asks whether Form ADV Item 5 fee content is adequate, prospectus fee table format, Reg BI cost disclosure content, 12b-1 fee transparency, revenue sharing arrangements, wrap fee program cost-effectiveness, or ERISA 408(b)(2)/404a-5 fee disclosure content. Also trigger when users mention 'hidden fees', 'total cost to the client', 'are we disclosing all layers of fees', 'expense ratio comparison', 'fee billing in advance vs arrears', 'share class selection', or 'indirect compensation'. (For which disclosure documents must exist and when they are delivered, use client-disclosures.)
coverage-analysis
petrkindlmann/qa-skills
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llm-wiki
nousresearch/hermes-agent
Karpathy's LLM Wiki: build/query interlinked markdown KB.
surrealql
surrealdb/agent-skills
Generate and modify SurrealQL queries to interact with SurrealDB databases. This includes creating and retrieving records, designing and managing schemas, establishing and querying graph relationships, performing live (real-time) queries, and leveraging all unique SurrealQL features for advanced database workflows. Use this skill whenever users need to write, adapt, or troubleshoot SurrealQL statements.
prisma-next-supabase
prisma/prisma-next
Use Prisma Next with a Supabase project via `@prisma-next/extension-supabase` — wire `extensions: [supabasePack]`, declare cross-space FKs to `supabase:auth.AuthUser`, author RLS policies (`policy_select` / `policy_update` / `@@rls`, `auth.uid()` predicates), build `db.ts` with the `supabase()` factory, bind roles per request (`asUser(jwt)` / `asAnon()` / `asServiceRole()`), query `auth.*` / `storage.*` via the `db.asServiceRole().supabase` admin root, and validate JWTs (`jwksUrl` for current projects / `jwtSecret` for legacy HS256). Use for supabase, RLS, row level security, policy, role binding, anon, authenticated, service_role, auth.users, auth.uid(), JWT, JWKS, SUPABASE_JWKS_URL, SUPABASE_JWT_SECRET, SUPABASE.JWT_INVALID, SUPABASE.CONFIG_INVALID, RoleBoundDb, session pooler, supabase:auth.AuthUser, @prisma-next/extension-supabase.
cloud-storage-optimization
aj-geddes/useful-ai-prompts
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cloudbase-agent-ts
tencentcloudbase/skills
Build and deploy AI agents with Cloudbase Agent (TypeScript), a TypeScript SDK implementing the AG-UI protocol. Use when: (1) deploying agent servers with @cloudbase/agent-server, (2) using LangGraph adapter with ClientStateAnnotation, (3) using LangChain adapter with clientTools(), (4) building custom adapters that implement AbstractAgent, (5) understanding AG-UI protocol events, (6) building web UI clients with @ag-ui/client, (7) building WeChat Mini Program UIs with @cloudbase/agent-ui-miniprogram.
llmquant-macro
llmquant/skills
Router skill for LLMQuant macro workflows. Use when the user needs macro dashboards, Fed or central-bank previews, inflation and growth context, liquidity, or macro-to-portfolio impact analysis.
test-coverage
neolabhq/context-engineering-kit
Use after writing tests to assess coverage quality across structural, mutation, requirements, and API/integration dimensions; organized knowledge for choosing and interpreting coverage analyses.
anycap-deepresearch
anycap-ai/anycap
Guide for conducting thorough, multi-source research and producing comprehensive, well-sourced reports. Powered by AnyCap -- the capability runtime that equips AI agents with web search (including AI Grounded citations), web crawl, image generation, cloud storage, and one-click web publishing through a single CLI. Use when the user asks for deep research, competitive analysis, market research, technical deep dive, literature review, technology comparison, or any task requiring multi-source information gathering and synthesis. Also use when users say \"investigate\", \"survey the landscape\", \"compare X vs Y\", \"state of the art\", \"write a report on\", \"look into\", \"find out about\", \"analyze the market\", or any inquiry that needs more than a single search. Trigger on mentions of research, analysis, investigation, comparison, report, survey, or deep dive.
llmquant-risk
llmquant/skills
Router skill for LLMQuant risk workflows. Use when the user needs fear scoring, VIX regime, hedge design, or research health checks.
llmquant-etfs
llmquant/skills
Router skill for LLMQuant ETFs workflows. Use when the user needs ETF holdings, overlap, concentration, issuer snapshot, or theme exposure analysis.
llmquant-equities
llmquant/skills
Router skill for LLMQuant equities workflows. Use when the user needs stock analysis, equity comparison, research memos, merger-arb memos, or sell/take-profit work.
llmquant-data
llmquant/skills
Router skill for LLMQuant Data primitive workflows. Use when the user needs SEC filings, 13F holders, macro snapshots, or source-grounded macro briefs.
mcp-builder
composio-community/awesome-claude-plugins
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
mcp:build-mcp
neolabhq/context-engineering-kit
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
gesture-responses
dylantarre/animation-principles
Use when responding to touch or click interactions - button presses, drag feedback, swipe responses, tap ripples, or any direct manipulation animation.
mcp-cli
philschmid/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 servers.
aeo
alirezarezvani/claude-skills
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
xgboost-lightgbm
tondevrel/scientific-agent-skills
Industry-standard gradient boosting libraries for tabular data and structured datasets. XGBoost and LightGBM excel at classification and regression tasks on tables, CSVs, and databases. Use when working with tabular machine learning, gradient boosting trees, Kaggle competitions, feature importance analysis, hyperparameter tuning, or when you need state-of-the-art performance on structured data.
llmquant-prediction-markets
llmquant/skills
Router skill for LLMQuant prediction-market workflows. Use when the user needs event odds, settlement criteria, probability gaps, cross-market pricing, or prediction-market arbitrage review.
llmquant-strategies
llmquant/skills
Router skill for LLMQuant hedge-fund and PM strategy workflows. Use when the user needs equity long/short, long-biased, event-driven, macro, quant, or multi-strategy playbooks.
ln-634-test-coverage-auditor
levnikolaevich/claude-code-skills
Identifies missing tests for unique critical local logic: money, auth, permissions, data integrity, algorithms, and domain rules. Use when auditing critical logic coverage gaps.
chief-customer-officer-advisor
alirezarezvani/claude-skills
Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.
llmquant-events
llmquant/skills
Router skill for LLMQuant event workflows. Use when the user needs earnings event briefs, M&A tracking, regulatory risk, catalysts, event calendars, or cross-asset event impact.
llmquant-market-intelligence
llmquant/skills
Router skill for LLMQuant market-intelligence workflows. Use when the user needs macro views, market sentiment dashboards, or event probability signals.
llmquant-crypto
llmquant/skills
Router skill for LLMQuant crypto workflows. Use when the user needs crypto market regime analysis, token research, perpetual funding, basis, leverage, liquidity, or cross-asset crypto context.
docs-seeker
mrgoonie/claudekit-skills
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
mcp-builder
mcp-use/skills
Build Model Context Protocol (MCP) servers with mcp-use framework. Use when creating MCP servers, defining tools/resources/prompts, working with mcp-use, bootstrapping MCP projects, deploying MCP servers, or when user mentions MCP development, MCP tools, MCP resources, or MCP prompts.
llmquant-options
llmquant/skills
Router skill for LLMQuant options workflows. Use when the user needs IV rank, option scoring, strategy construction, Greeks, P&L simulation, volatility surface, unusual activity, earnings IV crush, backtests, or hedges.
bmad-advanced-elicitation
bmad-code-org/bmad-method
Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team
ambient-section-particles
mengto/skills
Add a restrained particle atmosphere inside one section with configurable shapes, density, gravity, wind, sway, rotation, recycling or settling, pointer disturbance, visibility pausing, responsive limits, and reduced-motion fallbacks. Use for petals, leaves, snow, sparks, confetti, dots, paper, icons, or brand fragments that support a section's mood without obscuring content.
wiki-llms-txt
bklit/bklit-ui
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.
reify
srinitude/skills
Use when a vague idea, stray thought, remembered fragment, or uncertain direction needs to become a concrete outcome, tested design, decision record, artifact, or executable handoff.
polymarket-prediction-market
axwelbrand-byte/arbibot
Understand Polymarket prediction markets for sports and esports betting. Use when working with Polymarket API, sports arbitrage, binary contracts, CLOB pricing, or cross-platform trading with Kalshi. Triggers on: polymarket, prediction market, sports betting, esports betting, arbitrage, CLOB.
llmquant-investor-lenses
llmquant/skills
Router skill for LLMQuant investor-lens workflows. Use when the user wants an investor-style reasoning overlay grounded in LLMQuant Data evidence.
llmquant-portfolio-lab
llmquant/skills
Router skill for LLMQuant portfolio-lab workflows. Use when the user needs portfolio exposure maps, what-if simulations, scenario states, or virtual portfolio comparisons.
llmquant-commodities
llmquant/skills
Router skill for LLMQuant commodities workflows. Use when the user needs commodity spot, futures curve, inventory, roll yield, or macro linkage analysis.
masterdata-storage-strategy
vtex/skills
Apply when deciding whether VTEX Master Data is the right storage for a given workload, designing JSON Schemas with v-indexed, v-cache, v-security, and v-triggers, planning entity capacity and lifecycle, or auditing existing Master Data usage. Covers when to use MD versus Catalog, OMS, VBase, or external databases, schema design best practices, indexing strategy, trigger patterns, and operational considerations. Use before creating any new Master Data entity.
ln-402-task-reviewer
levnikolaevich/claude-code-skills
Reviews task implementation for quality, code standards, and test coverage. Use when task is in To Review. Sets task Done or To Rework.
llmquant-rates-fx
llmquant/skills
Router skill for LLMQuant rates and FX workflows. Use when the user needs yield curve, duration, central-bank divergence, FX carry, real-rate, dollar, or cross-currency analysis.
upstash-box-py
upstash/skills
Work with the upstash-box Python SDK for sandboxed cloud containers with AI agents, shell, filesystem, git, cron schedules, and a headless browser. Use when building with Upstash Box in Python, creating sandboxed environments, running AI agents in containers, browser automation from a box, or orchestrating parallel boxes.
scalar-docs
scalar/scalar
Skill for writing and updating scalar.config.json — Scalar Docs configuration reference for users and LLMs.
llm-application-dev-prompt-optimize
sickn33/agentic-awesome-skills
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati
weaviate
weaviate/agent-skills
Search, query, and manage Weaviate vector database collections. Use for semantic search, hybrid search, keyword search, natural language queries with AI-generated answers, collection management, data exploration, filtered fetching, data imports from PDF/CSV/JSON/JSONL files, create example data and collection creation.
agentic-development
alinaqi/maggy
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
llmquant-equity-derivatives
llmquant/skills
Router skill for LLMQuant equity derivatives workflows. Use when the user needs single-stock derivative, convertible, warrant, structured payoff, or hybrid security analysis.