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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test-skill
by sjnimsThis skill should be used when the user asks to "test something", "run a test", or needs help with testing.
greet-skill
by sjnimsThis skill should be used when the user says "hello", "hi", or "greet me".
agent-development
by sjnimsThis skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", "disallowedTools", "block tools", "agent denylist", "maxTurns", "agent memory", "mcpServers in agent", "agent hooks", "background agent", "resume agent", "agent teams", "permission rules", "permission mode", "delegate mode", "agent team", "team lead", "teammate", "multi-agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
plugin-structure
by sjnimsThis skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "add lspServers", "configure auto-discovery", "headless mode", "CI mode", "plugin in CI", "github actions", "plugin caching", "plugin CLI", "install plugin", "installation scope", "auto-update", "validate plugin", "plugin validate", "debug plugin", "output styles", "outputStyles", "custom output format", "response formatting", "--verbose", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.
command-development
by sjnimsThis skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", "Skill tool", "programmatic command invocation", "disable-model-invocation", "prevent Claude from running command", "debug command", "command debugging", "troubleshoot command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, programmatic invocation control, debugging commands, or command development best practices for Claude Code.
hook-development
by sjnimsThis skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", "scoped hooks", "frontmatter hooks", "hook in skill", "hook in agent", "agent hook type", "async hooks", "once handler", "statusMessage", "hook decision control", "TeammateIdle hook", "TaskCompleted hook", or mentions hook events (PreToolUse, PermissionRequest, PostToolUse, PostToolUseFailure, Stop, SubagentStop, SubagentStart, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification, TeammateIdle, TaskCompleted). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
lsp-integration
by sjnimsThis skill should be used when the user asks to "add LSP server", "configure language server", "set up LSP in plugin", "add code intelligence", "integrate language server protocol", "use pyright-lsp", "use typescript-lsp", "use rust-lsp", "socket transport", "initializationOptions", mentions LSP servers, or discusses extensionToLanguage mappings. Provides guidance for integrating Language Server Protocol servers into Claude Code plugins for enhanced code intelligence.
marketplace-structure
by sjnimsThis skill should be used when the user asks to "create a marketplace", "set up marketplace.json", "organize multiple plugins", "distribute plugins", "host plugins", "marketplace schema", "plugin marketplace structure", "multi-plugin organization", "strictKnownMarketplaces", "private marketplace", "marketplace auth", "pin plugin version", "hostPattern", or needs guidance on plugin marketplace creation, marketplace manifest configuration, or plugin distribution strategies.
mcp-integration
by sjnimsThis skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", discusses MCP server types (SSE, stdio, HTTP, WebSocket), or asks to "find MCP server", "discover MCP servers", "what MCP servers exist", "recommend MCP server for [service]", "MCP prompts", "MCP prompts as commands", "tool search", "tool search threshold", "claude mcp serve", "allowedMcpServers", "deniedMcpServers", "managed MCP". Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
plugin-dev-guide
by sjnimsThis skill should be used when the user asks about "Claude Code plugins", "plugin development", "how to build a plugin", "what plugin components exist", "plugin architecture", "extending Claude Code", or needs an overview of plugin development capabilities. Acts as a guide to the 9 specialized plugin-dev skills, explaining when to activate each one. Load this skill first when the user is new to plugin development or unsure which specific skill they need.
plugin-settings
by sjnimsThis skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plugin settings", "CLAUDE.md imports", "rules system", "memory hierarchy", "memory priority", or wants to make plugin behavior configurable. Documents the .claude/plugin-name.local.md pattern for storing plugin-specific configuration with YAML frontmatter and markdown content.
skill-development
by sjnimsThis skill should be used when the user asks to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", "SKILL.md format", "skill frontmatter", "skill triggers", "trigger phrases for skills", "progressive disclosure", "skill references folder", "skill examples folder", "validate skill", "skill model field", "skill hooks", "scoped hooks in skill", "visibility budget", "context budget", "SLASH_COMMAND_TOOL_CHAR_BUDGET", "skill permissions", "Skill() syntax", "visual output", or needs guidance on skill structure, file organization, writing style, or skill development best practices for Claude Code plugins.
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.