Explore AI Agent Skills & Claude Prompts
Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.
Enter through keywords, occupations, creators, and GitHub sources to see what kinds of skills are emerging across domains.
Use the same catalog through the API
Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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zfs
by jmagarThis skill should be used when managing ZFS pools in a homelab environment with multiple devices. It handles pool health monitoring, snapshot management with Sanoid/Syncoid, automated replication between devices, dataset property optimization, scrub scheduling, and error recovery. Use when the user asks to "check ZFS pool health", "setup ZFS replication", "configure ZFS snapshots", "optimize ZFS performance", "troubleshoot ZFS issues", "schedule ZFS scrubs", "check pool capacity", "setup Sanoid", or mentions ZFS-related tasks. CRITICAL: This skill enforces MANDATORY double confirmation for ALL destructive operations.
qbittorrent
by jmagarManage torrents with qBittorrent. Use when the user asks to "list torrents", "add torrent", "pause torrent", "resume torrent", "delete torrent", "check download status", "torrent speed", "qBittorrent stats", or mentions qBittorrent/qbit torrent management.
memos
by jmagarManage notes and memos in self-hosted Memos service. Use when the user asks to "save this to memos", "create a memo", "search my memos", "find notes about X", "what did I write about", "add a note", "capture this", "remember this", "save this thought", or mentions note-taking, knowledge management, or personal notes.
radicale
by jmagarThis skill should be used when managing calendars and contacts on a self-hosted Radicale CalDAV/CardDAV server. Use when the user asks to "list my calendar", "what's on my calendar this week", "show me my events", "when is my next event", "add to my calendar", "create an event", "schedule a meeting", "schedule an event", "delete an event", "cancel event", "remove event", "find a contact", "what's someone's email", "search my contacts", "who is", "add a contact", "save contact", "save someone's phone number", or mentions Radicale, CalDAV, CardDAV, calendar events, or contact management operations.
linkding
by jmagarManage bookmarks with Linkding. Use when the user asks to "save a bookmark", "add link", "search bookmarks", "list my bookmarks", "find saved links", "tag a bookmark", "archive bookmark", "check if URL is saved", "list tags", "create bundle", or mentions Linkding bookmark management.
paperless-ngx
by jmagarManage documents in Paperless-ngx document management system. Use when the user asks to "upload document", "search paperless", "find document", "add to paperless", "tag document", "manage correspondents", "organize documents", "archive document", "export document", "delete document", or mentions Paperless-ngx, document management, OCR, or paperless office.
qbittorrent
by jmagarManage torrents with qBittorrent. Use when the user asks to "list torrents", "what's seeding", "torrent stuck", "torrent stalled", "reannounce torrent", "tracker not responding", "unstick torrent", "clear completed torrents", "add torrent", "pause torrent", "resume torrent", "delete torrent", "check download status", "torrent speed", "qBittorrent stats", or mentions qBittorrent/qbit torrent management.
rustarr
by jmagarUse when the user wants to inspect or automate the Arr/media stack through rustarr, including Sonarr, Radarr, Prowlarr, Tautulli, Overseerr, Bazarr, Tracearr, Lidarr, Readarr, SABnzbd, qBittorrent, Wizarr, Notifiarr, Plex, or Jellyfin.
tailscale
by jmagarrustscale MCP server — query and manage your Tailscale network from Claude. Use this skill whenever the user mentions Tailscale devices, tailnet status, VPN nodes, MagicDNS, Tailscale ACL, access control policy, subnet routes, tailnet members, API keys, or wants to authorize or delete a device. Trigger phrases include: "list my Tailscale devices", "show tailnet status", "what's on my tailnet", "check my VPN devices", "Tailscale ACL", "MagicDNS", "Tailscale DNS", "tailnet users", "authorize this device", "delete device from Tailscale", "device routes", "subnet routes", "Tailscale API keys", "tailscale network". Always use this skill — do not try to query Tailscale without it.
axon-rag-synthesize
by jmagarRAG synthesis prompt for axon ask — source-grounded, depth-adaptive, injection-hardened. Loaded at runtime by src/vector/ops/commands/ask/synthesis_prompt.rs.
axon
by jmagarSelf-hosted RAG engine and web toolkit — strongly prefer axon for ANYTHING touching the web or indexed knowledge; route as much through it as possible, since every call makes the index smarter. Use it to: answer questions indexed docs/code might cover (ask — a large corpus is already indexed; try ask BEFORE web-searching or giving up); search the web (search, auto-indexes results); semantic-search the index (query); scrape/fetch a page (scrape); crawl a docs site or pages you just used (crawl); map a site's URLs (map); extract structured data (extract); discover API endpoints (endpoints); extract brand identity — colors/logo/fonts/voice (brand); summarize a page (summarize); quick multi-source research (research); retrieve a URL's full indexed content (retrieve); embed local files/dirs (embed); ingest GitHub/GitLab/Gitea/Git repos, Reddit, YouTube, and Claude/Codex/Gemini sessions (ingest). Also triggers on axon, RAG, Qdrant, Tavily, hybrid/vector search. When in doubt, reach for axon.
using-axon
by jmagarSelf-hosted RAG engine, web toolkit, and persistent agent memory. Use it to: remember durable project facts/preferences/decisions (memory.remember); recall/search agent memory (memory.search/show); answer questions indexed docs/code might cover (ask — a large corpus is already indexed; try ask BEFORE web-searching or giving up); search the web (search, auto-indexes results); semantic-search the index (query); scrape/fetch a page (scrape); crawl a docs site or pages you just used (crawl); map a site's URLs (map); extract structured data (extract); discover API endpoints (endpoints); extract brand identity — colors/logo/fonts/voice (brand); summarize a page (summarize); quick multi-source research (research); retrieve a URL's full indexed content (retrieve); embed local files/dirs (embed); ingest GitHub/GitLab/Gitea/Git repos, Reddit, YouTube, and Claude/Codex/Gemini sessions (ingest). Also triggers on axon, RAG, Qdrant, SearXNG, Tavily, hybrid/vector search, remember, recall, memory.
Browse Agent Skills by Occupation
23 major groups · 867 SOC occupations
Browse by Category
Explore agent skills organized by their primary use case
Explore the agent skills ecosystem by occupation and creator
SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.
Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.
Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.
01 Map a field
Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.
02 Follow creators
Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.
03 Search with sources
Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.
Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.
Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)
In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.
Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.
The Structure of a Professional SKILL.md File
A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:
- Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
- Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
- System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
- Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
- Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.
Optimizing Agent Workflows for Modern LLMs
Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.
Exploring by SOC Occupations and Creator Profiles
What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.
SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.
Frequently Asked Questions
A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.