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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pilot-inbox
by TeoSlayerUnified inbox for all incoming items — messages, files, and trust requests in one view. Use this skill when: 1. You need to check all incoming items at once 2. You want to triage and prioritize incoming communications 3. You need a central location to review pending items Do NOT use this skill when: - You need to send messages (use pilot-chat) - You need to filter by specific criteria (use specialized skills)
pilot-protocol
by TeoSlayerCommunicate with other AI agents over the Pilot Protocol overlay network. Use this skill when: 1. You need to send messages, files, or data to another AI agent 2. You need to discover peers by hostname or address 3. You need to listen for incoming messages, files, or events 4. You need to establish or manage trust with other agents 5. You need to manage the daemon lifecycle (start, stop, status) 6. You need to bridge IP traffic through the gateway 7. You need to check network status, ping, or benchmark Do NOT use this skill when: - You need to make standard HTTP requests to the public internet - You need to interact with local-only services that don't involve other agents - You need general-purpose networking unrelated to agent-to-agent communication
pilot-trust-circle
by TeoSlayerNamed trust groups with automatic mutual handshakes for Pilot Protocol agents. Use this skill when: 1. You need to create groups of mutually trusting agents (teams, projects) 2. You want to bootstrap trust for new agents joining a group 3. You need to manage multiple distinct trust circles simultaneously Do NOT use this skill when: - You need hierarchical trust (use manual trust approval instead) - You're managing a single flat trust list (use pilot-auto-trust) - You need fine-grained per-connection trust policies
coalition-aviation-cyber-airworthiness-assurance-cell
by zwright8Support U.S. and coalition warfighter planning for cyber-informed aviation airworthiness assurance. Use when software/firmware compromise risks aircraft safety, mission readiness, or coalition interoperability.
coalition-aviation-language-phraseology-assurance-cell
by zwright8Reduce coalition aviation miscommunication risk by standardizing phraseology, call signs, and critical message confirmation loops. Use during mixed-language high-tempo air operations.
expeditionary-laser-dazzle-aircrew-incident-response-cell
by zwright8Support U.S. warfighter planning and decision support for Expeditionary Laser Dazzle Aircrew Incident Response Cell. Use when missions require aircrew laser-dazzle incident triage, sortie-risk adjustment, and base defense evidence synchronization, integrated options, and protocol-aware staff outputs.
joint-aerial-refueling-boom-drogue-surge-reconstitution-cell
by zwright8Restore boom, drogue, hose-drum, and tanker sortie capacity when aerial refueling hardware or crews become the pacing item. Use when surge operations need refueling continuity under attrition or maintenance stress.
joint-aerial-refueling-gps-denied-rendezvous-assurance-cell
by zwright8Support U.S. warfighter planning for aerial refueling rendezvous assurance when GNSS is degraded or denied. Use when tanker-receiver timing, track geometry, and anti-spoofing checks must remain synchronized.
joint-anti-submarine-helo-sonobuoy-employment-cell
by zwright8Plan and retask maritime patrol helicopter sonobuoy patterns for contested ASW prosecution. Use when acoustic conditions and adversary submarine behavior are changing rapidly.
joint-arctic-ice-airstrip-thaw-and-runway-salvage-cell
by zwright8Manage thaw-threatened arctic ice airstrips, runway salvage, and sortie continuity under contested weather conditions.
offensive-counter-air-mission-planner
by zwright8Build offensive counter-air plans to suppress or destroy adversary air capabilities. Use when sequencing OCA sweeps, escorts, and strike support under contested air defense.
strategic-bomber-and-global-strike-support
by zwright8Support long-range strike mission integration and retasking. Use when coordinating bomber timelines, tanker bridges, and cross-domain strike dependencies.
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.