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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claude-plan-mode-development
by jayalexandermgEnable Claude's plan mode (shift+tab) to structure app development with clarifying questions and detailed planning before code generation. Triggers on: "build app", "create application", "develop system", or before any complex coding project. Ensures requirements gathering and architectural planning upfront.
claude-code-context-management
by jayalexandermgSet up reusable context and configuration for Claude Code using claude.md files and IDE workspace organization. Apply when starting new Claude Code projects or when you need consistent behavior across coding sessions. Trigger on: "new project setup", "context management", "claude.md", "workspace organization".
claude-code-context-management-with-compact
by jayalexandermgOptimize Claude Code performance by managing conversation history and context usage with the /compact command. Trigger when chat becomes too long, response quality degrades, or token usage becomes excessive. Use /compact to clear history while preserving essential context through intelligent summarization.
claude-code-cursor-integration
by jayalexandermgIntegrates Claude Code with Cursor IDE for enhanced file visibility and code management. Trigger when working on complex projects requiring multiple file navigation, code review, or when needing better project context awareness in AI-assisted development.
claude-code-essential-workflows
by jayalexandermgMaster Claude Code's core capabilities including slash commands for context management, agents for specialized tasks, skills for reusable functionality, plan mode for structured development, and IDE integration. Use when starting with Claude Code or need to efficiently leverage its full development workflow potential. Trigger on "Claude Code setup", "development workflow", or "terminal AI coding".
claude-code-slash-commands-discovery
by jayalexandermgDiscovers all available slash commands in Claude Code by typing a forward slash in the terminal. Essential technique for beginners to understand the full command palette and workflow options. Triggered when starting with Claude Code or exploring available commands.
claude-code-slash-commands
by jayalexandermgMaster Claude Code's built-in slash commands for terminal access and system functions. Triggered when starting Claude Code sessions, needing to manage context, or requiring quick system operations. Essential for discovering available commands and optimizing workflow efficiency.
claude-code-specialized-agents
by jayalexandermgCreate and deploy specialized AI agents with dedicated context windows, custom tools, and specific expertise areas. Triggered when needing focused AI assistance for distinct domains like marketing, UX design, or planning. Agents work independently and can run multiple instances simultaneously.
claude-ide-integration-config
by jayalexandermgConfigure Claude Code integration with IDEs (especially Cursor) and set up automatic context loading through claude.md files. Triggered when setting up professional development workflows, needing consistent coding standards across projects, or wanting better code file visibility. Essential for maintaining project-specific instructions and coding conventions that Claude automatically references.
claude-md-context-injection
by jayalexandermgCreate and use claude.md files to automatically inject custom instructions, code styles, and workflow rules into any Claude Code conversation. Triggers when you need consistent behavior across sessions or want to establish project-specific guidelines that Claude should always follow.
claude-plan-mode-activation
by jayalexandermgActivates Claude's plan mode using Shift+Tab to make Claude thoroughly analyze and plan projects before execution. Triggers when facing complex multi-step tasks, building applications, or needing structured project breakdown. Use when you want Claude to ask clarifying questions and create detailed implementation plans before coding.
claude-security-review-commands
by jayalexandermgUse Claude's built-in security review slash command to audit code changes for vulnerabilities. Trigger when reviewing code modifications, checking security implications, or auditing application security. More reliable than ad-hoc security prompts.
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.