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
ai-ml
sickn33/agentic-awesome-skills
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
wp-plugin-development
automattic/agent-skills
Use when developing WordPress plugins: architecture and hooks, activation/deactivation/uninstall, admin UI and Settings API, data storage, cron/tasks, security (nonces/capabilities/sanitization/escaping), and release packaging.
mcp-server-builder
patricio0312rev/skills
Builds Model Context Protocol (MCP) servers for Claude with tools, resources, and prompts. Use when users request "create MCP server", "build Claude tool", "MCP integration", or "custom Claude tools".
mastra
pedronauck/skills
Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strategies (embedded docs, remote docs), core concepts (agents vs workflows, tools, memory, RAG), TypeScript requirements, and common patterns. Use this skill for all Mastra development to ensure you're using current APIs from the installed version or latest documentation.
gtars
davila7/claude-code-templates
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
vector-db-setup
patricio0312rev/skills
Sets up vector databases for semantic search including Pinecone, Chroma, pgvector, and Qdrant with embedding generation and similarity search. Use when users request "vector database", "semantic search", "embeddings storage", "Pinecone setup", or "similarity search".
prompt-engineering
martinholovsky/claude-skills-generator
Expert skill for prompt engineering and task routing/orchestration. Covers secure prompt construction, injection prevention, multi-step task orchestration, and LLM output validation for JARVIS AI assistant.
typescript-strict-mode
op0ai/claude-skills
Guide for strict TypeScript practices including avoiding any, using proper type annotations, and leveraging TypeScript's type system effectively. Use when working with TypeScript codebases that enforce strict type checking, when you need guidance on type safety patterns, or when encountering type errors. Activates for TypeScript type errors, strict mode violations, or general TypeScript best practices.
coverage-strategist
patricio0312rev/skills
Defines ROI-based coverage targets with critical path identification, layer-specific targets, and explicit "don't test this" guidelines. Use for "test coverage", "coverage strategy", "test priorities", or "coverage targets".
cloudflare-r2
secondsky/claude-skills
Cloudflare R2 S3-compatible object storage. Use for buckets, uploads, CORS, presigned URLs, or encountering R2_ERROR, CORS failures, multipart issues.
anthropic-prompt-engineer
jamesrochabrun/skills
Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.
tool-function-schema-designer
patricio0312rev/skills
Designs robust function/tool calling schemas for LLMs with JSON schemas, validation strategies, typed interfaces, and example calls. Use when implementing "function calling", "tool use", "LLM tools", or "agent actions".
ai-sdk
pedronauck/skills
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, or tools, (2) Want to build AI agents, chatbots, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, etc.), streaming, tool calling, or structured output.
mcp
bobmatnyc/claude-mpm-skills
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
embedding-pipeline-builder
patricio0312rev/skills
Builds document embedding pipelines with text chunking, embedding generation, indexing, and retrieval optimization. Use when users request "embedding pipeline", "document indexing", "text chunking", "RAG preprocessing", or "semantic indexing".
closed-surface-uv-coverage
roble3/cc-blender-skill
Ensure textures and decals cover all visible surfaces of a closed or extruded Blender asset, especially front/back caps and sidewalls, instead of relying on partial projected planes, curves, or linework overlays. Use when back textures do not fill the model, side textures are missing, spin/turntable views expose plain sidewalls, or a model needs separate UV treatment for caps and side surfaces.
tooluniverse-sequence-analysis
mims-harvard/tooluniverse
Biological sequence analysis — gene/protein sequence retrieval (NCBI, Ensembl, UniProt), nucleotide/protein search, ortholog discovery, and FASTQ QC + alignment workflows (Trimmomatic, BWA, samtools, coverage depth). Use for sequence retrieval, sequence comparison, FASTQ QC analysis, and read alignment pre-processing.
llm-eval-harness
daymade/claude-code-skills
>-
seo-aeo-geo
rampstackco/claude-skills
Optimize content and site structure for AI-driven search experiences including AI overviews, large language model citations, generative answer engines, and AI assistants. Use this skill whenever the user wants to optimize for AI search, get cited by language models, appear in AI overviews, build llms.txt, structure content for AI extraction, or future-proof their SEO for the shift from blue links to AI answers. Triggers on AEO, GEO, AI search, AI SEO, AI overview, generative search, LLM optimization, llms.txt, AI citation, ChatGPT search, Perplexity, Gemini, Claude search, AI assistant optimization, answer engine. Also triggers when the user expresses concern about AI eating their organic traffic or wants to understand how to remain visible as search shifts.
prompt-injection
briiirussell/cybersecurity-skills
Audit applications for AI prompt injection, agent security, and LLM permission boundary vulnerabilities. Use when the user mentions 'prompt injection,' 'LLM security,' 'AI security,' 'jailbreak,' 'indirect prompt injection,' 'prompt leaking,' 'AI red team,' 'LLM vulnerabilities,' 'AI input validation,' 'system prompt extraction,' 'agent security,' 'MCP security,' 'AI permissions,' 'AI privilege escalation,' or needs to secure any application with AI features, AI agents, or LLM integrations.
explore
yonatangross/orchestkit
Multi-angle codebase exploration spawning 3-5 parallel agents for code structure, data flow, architecture patterns, and health assessment. Generates ASCII visualizations, import graphs, and design pattern detection with cross-session memory storage. Use when exploring a repo, discovering architecture, onboarding to a new codebase, or analyzing design patterns.
client-health-dashboard
onewave-ai/claude-skills
Generates a comprehensive client health overview across all accounts. Reads CRM data, support tickets, usage metrics, billing, and engagement logs. Calculates health scores, trend direction, and RAG status per client. Outputs a sorted risk report with recommended actions.
seo-visibility-expert
curiositech/some_claude_skills
Comprehensive SEO, discoverability, and AI crawler optimization for web projects. Use for technical SEO audits, llms.txt/robots.txt setup, schema markup, social launch strategies (Product Hunt,
rag-pipeline-builder
patricio0312rev/skills
Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadata schemas, retrieval algorithms, reranking, and evaluation plans. Use when building "RAG systems", "document search", "semantic search", or "knowledge bases".
mcp-creator
curiositech/some_claude_skills
Expert MCP (Model Context Protocol) server developer creating safe, performant, production-ready servers with proper security, error handling, and developer experience. Activate on 'create
dca-bot
uniswap/uniswap-ai
This skill should be used when the user wants to "dca into" a token, "buy X every day", set up a "recurring buy", "dollar cost average" into an asset, "schedule a buy", or "auto-buy on a dip". Buys a fixed amount into a token on a schedule, optionally only when a condition holds (for example only when ETH is below a price threshold). The host agent's scheduler wakes the skill on a cadence; each wake is one self-contained run.
multimodal-llm
yonatangross/orchestkit
Vision, audio, video generation, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, generating AI video (Kling v3, Sora 2, Veo 3.1 std/lite/fast, Runway Gen-4.5 via `gen4_turbo`), or building multimodal AI pipelines.
agent-architecture-analysis
existential-birds/beagle
Use when auditing an agent codebase against the 12-Factor Agents methodology, reviewing LLM-powered system architecture, or assessing agentic app compliance. Triggers on \"analyze agent architecture\", \"12-factor audit\", \"how compliant is this agent\", or \"evaluate this LLM app\". Also applies when comparing frameworks or planning agent improvements. Not for quick checklists \u2014 this performs deep per-factor codebase analysis with file-level evidence.
graphrag-patterns
latestaiagents/agent-skills
|
test-coverage-improver
openai/openai-agents-python
Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
openai-prompt-engineer
jamesrochabrun/skills
Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.
write-kaggle-benchmarks
kaggle/kaggle-skills
Write, push, run, publish, and manage Kaggle Benchmark tasks using the kaggle CLI and the kaggle-benchmarks Python SDK. Use when the user wants to create or push a benchmark task (optionally with attached Kaggle datasets), run benchmarks against LLM models, check task/run status, stream or fetch execution logs, download results and source notebooks, publish a task to make it public, or troubleshoot benchmark workflows.
prompt-engineer
curiositech/some_claude_skills
Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and techniques.
godot-platform-web
thedivergentai/gd-agentic-skills
Expert blueprint for HTML5/web export on Compatibility (WebGL 2.0): JavaScriptBridge, localStorage wrapper, custom loading shells, COOP/COEP hosts, relative paths, beforeunload, visibility pause, and size optimization. WebGPU is out of scope. Keywords: web, HTML5, WebGL, Compatibility, JavaScriptBridge, localStorage, COOP, COEP, canvas, browser API.
prompt-engineering-expert
tomstools11/prompt-engineering-expert
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
shader-programming-glsl
sickn33/agentic-awesome-skills
Expert guide for writing efficient GLSL shaders (Vertex/Fragment) for web and game engines, covering syntax, uniforms, and common effects.
godot-genre-rts
thedivergentai/gd-agentic-skills
Expert blueprint for real-time strategy games including unit selection (drag box, shift-add), command systems (move, attack, gather), pathfinding (NavigationAgent2D with RVO avoidance), fog of war (SubViewport mask shader), resource economy (gather/build loop), and AI opponents (behavior trees, utility AI). Use for base-building RTS or tactical combat games. Trigger keywords: RTS, unit_selection, command_system, fog_of_war, pathfinding_RVO, resource_economy, command_queue.
mcp-builder
vudovn/ag-kit
MCP (Model Context Protocol) server and client engineering. Protocol design, schemas, transports, extensions, security, and migration.
llm-optimized-content
guia-matthieu/clawfu-skills
Use when creating content that must be discoverable by AI search engines (ChatGPT, Perplexity, Gemini). Use when SEO alone isn't enough, when you need AI citations, or when optimizing for the "zero-click" future.
supabase-storage
nice-wolf-studio/claude-code-supabase-skills
Manage file storage operations in Supabase Storage. Use for uploading, downloading, listing, and deleting files in buckets.
claude-session-manager
sugarforever/01coder-agent-skills
Manage Claude Code session transcripts from local JSONL storage, including listing candidate sessions, exporting full or selected sessions to organized Markdown, inspecting archives, and summarizing tool-call history. Use when the user asks to scan, parse, archive, inspect, recover, summarize, manage, or convert Claude Code sessions, `~/.claude/projects` data, `.jsonl` transcripts, tool-call history, or hard-to-read Claude Code conversation logs.
model-quantization
martinholovsky/claude-skills-generator
Expert skill for AI model quantization and optimization. Covers 4-bit/8-bit quantization, GGUF conversion, memory optimization, and quality-performance tradeoffs for deploying LLMs in resource-constrained JARVIS environments.
llm-fine-tuning-guide
qodex-ai/ai-agent-skills
Master fine-tuning of large language models for specific domains and tasks. Covers data preparation, training techniques, optimization strategies, and evaluation methods. Use when adapting models for specialized applications, reducing inference costs, or improving domain-specific performance.
datahub-connector-pr-review
datahub-project/datahub-skills
Reviews DataHub connector implementations against 22 golden standards for compliance, code quality, silent failures, test coverage, type design, and merge readiness. Use when reviewing connector code, checking a PR, auditing a connector implementation, or verifying connector standards compliance.
ai-engineer
curiositech/some_claude_skills
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY
growth-hacking
vivy-yi/xiaohongshu-skills
Use when rapidly growing Xiaohongshu following, implementing viral strategies, leveraging platform mechanics, or accelerating follower acquisition
ai-sdk-6
laguagu/claude-code-nextjs-skills
Vercel AI SDK v6 development. Use when building AI agents, chatbots, tool integrations, streaming apps, or structured output with the ai package. Covers ToolLoopAgent, useChat, generateText, streamText, tool approval, smoothStream, provider tools, MCP integration, and Output patterns.
research-prompt
davidondrej/skills
Write a single-paragraph Deep Research prompt to hand to a human researcher (or a deep-research AI). Use when the user wants a research brief, a "deep research prompt", a one-paragraph task for a researcher, or asks "what should our researcher look for". Produces ONE tight paragraph with full context, numbered sub-questions, and per-finding output format.
seedance-food-beverage
beshuaxian/higgsfield-seedance2-jineng
为 Seedance 2.0（Higgsfield）生成食品和饮料视频提示。在用户想要食品视频、食谱内容、餐厅宣传、饮料广告、烹饪视频、食品 ASMR、菜单展示、食品配送广告、咖啡馆内容或任何食品/饮料视频时使用。在以下情况下触发：食品视频、食谱、烹饪、餐厅、饮料、食品广告、食品 ASMR、菜单、咖啡馆、鸡尾酒、食品摄影视频、开胃吸引力、食品造型、美食直播或任何食品/饮料视频请求。即使是"让我的食物看起来美味"或"餐厅宣传视频"也适用。
crypto-research
microck/ordinary-claude-skills
Comprehensive cryptocurrency market research and analysis using specialized AI agents. Analyzes market data, price trends, news sentiment, technical indicators, macro correlations, and investment opportunities. Use when researching cryptocurrencies, analyzing crypto markets, evaluating digital assets, or investigating blockchain projects like Bitcoin, Ethereum, Solana, etc.
surrealdb-cli
surrealdb/agent-skills
Use the `surreal` command-line binary to run a SurrealDB server (in-memory, RocksDB, SurrealKV, or TiKV), open an interactive or piped SQL REPL, import and export databases, check server readiness, upgrade the binary, repair storage, and manage SurrealML models. Use this skill whenever users run, connect to, back up, restore, or operate SurrealDB from the terminal. Triggers: surreal start, surreal sql, surreal import, surreal export, surreal isready, surreal upgrade, surreal fix, surreal ml, SurrealDB CLI, surreal server.
sober-addict-protector
curiositech/some_claude_skills
Daily protection and relapse prevention companion for people in recovery. Expert in identifying high-risk situations, managing triggers, maintaining accountability, encouraging therapy/couples
llm-streaming-response-handler
curiositech/some_claude_skills
Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI/Anthropic/Claude streaming APIs. Use for chatbots, AI assistants,
linkfox-amazon-opportunity-search-by-metrics
linkfox-ai/linkfox-skills
亚马逊反向选品：基于历史商业洞察报告沉淀的指标数据池，按 30+ 项商业维度（市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等）反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse search, niche metrics filter, low-competition niche, blue ocean niche, demographic-based selection, pain-point niche, price tier opportunity, sweet spot pricing, brand fragmentation时触发此技能。即使用户未明确说"反向选品"，只要其需求是按商业维度筛选符合条件的亚马逊赛道，也应触发此技能。
cli-for-agents
pproenca/dot-skills
Designing CLIs that AI agents will invoke — non-interactive flags, layered --help with examples, stdin/pipeline composition, actionable errors, idempotency, dry-run, destructive-action safety, and predictable command structure. Use when designing, building, or reviewing a command-line tool that AI agents or automation will invoke. Trigger even if the user doesn't explicitly say "agent-friendly" — apply whenever they are writing `--help` text, adding a new subcommand, designing error messages, or reviewing a CLI's UX.
Convex Agents RAG
sstobo/convex-skills
Implements Retrieval-Augmented Generation (RAG) patterns to enhance agents with custom knowledge bases. Use this when agents need to search through documents, retrieve context from a knowledge base, or ground responses in specific data.
RAG Implementer
daffy0208/ai-dev-standards
Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM responses in external data. Covers embedding strategy, vector stores, retrieval pipelines, and evaluation.
mcp-builder
dedalus-erp-pas/foundation-skills
Guide pour la création et la construction de serveurs MCP (Model Context Protocol) de qualité permettant aux LLM d'interagir avec des services externes via des outils bien conçus. À utiliser quand l'utilisateur veut construire, développer ou implémenter un serveur MCP intégrant des API ou services externes, en Python (FastMCP) ou Node/TypeScript (MCP SDK). Pour seulement installer/configurer un serveur MCP existant (ex. Jira), utiliser plutôt setup.
engineering-health
refoundai/lenny-skills
Help users build a sustainable engineering culture by measuring health through frameworks like Core 4, managing technical debt as leverage, and optimizing workflows with AI tools.
bingx-swap-trade
bingx-api/api-ai-skills
BingX perpetual swap trading — place/cancel orders, manage positions, set leverage, and configure margin settings. Use when the user asks about BingX swap trading, order placement, cancellation, position management, leverage, or margin type settings.