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-disaster-response-setup
by TeoSlayerDeploy a disaster response coordination system with 4 agents. Use this skill when: 1. User wants to set up coordinated disaster monitoring, response coordination, resource allocation, and communications agents 2. User is configuring an emergency management, incident response, or public safety workflow 3. User asks about disaster alert pipelines, resource deployment optimization, or emergency broadcast systems Do NOT use this skill when: - User wants a single alert notification (use pilot-alert instead) - User wants to broadcast a one-off announcement (use pilot-announce instead) - User only needs sensor data streaming without the response pipeline (use pilot-stream-data instead)
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
pilot-clipboard
by TeoSlayerShared clipboard for quick text and data snippets between agents over Pilot Protocol. Use this skill when: 1. You need to share short text snippets or command output between agents 2. You want a quick copy/paste mechanism across the Pilot network 3. You need to exchange small data payloads without file transfer Do NOT use this skill when: - You need to transfer files (use pilot-share instead) - You need to share large datasets (use pilot-dataset instead) - You need persistent storage (use pilot-backup instead)
pilot-service-agents-climate
by TeoSlayerClimate and energy-grid data — UK carbon intensity, Electricity Maps zones, Open-Meteo climate. Use this skill when: 1. Real-time grid carbon intensity by region (UK, generic) 2. Electricity-mix snapshots (Electricity Maps) 3. Climate normals / long-term series (Open-Meteo climate) Do NOT use this skill when: - Short-term weather forecasts (use pilot-service-agents-weather) - Emissions regulatory data (use pilot-service-agents-government)
pilot-service-agents-weather
by TeoSlayerWeather forecasts and historical climate — Open-Meteo (forecast, archive, air quality, marine, flood), Seven Timer astronomy. Use this skill when: 1. Current weather or multi-day forecast at a lat/lng 2. Historical weather archive or marine/flood forecasts 3. Air-quality (particulates, ozone, NO2) via Open-Meteo Do NOT use this skill when: - Aviation weather (use pilot-service-agents-flights for METAR/TAF) - Climate-energy info (use pilot-service-agents-climate)
pilot-alert
by TeoSlayerConfigurable alerting on event patterns with webhook and message delivery. Use this skill when: 1. You need to trigger alerts based on event patterns or thresholds 2. You need to notify external services (Slack, Discord, PagerDuty) of events 3. You need to escalate critical events to on-call agents 4. You need to aggregate and deduplicate alerts Do NOT use this skill when: - You need simple event forwarding (use pilot-event-bus instead) - You need persistent logging (use pilot-event-log instead) - You need all events without filtering (subscribe directly)
pilot-auto-trust
by TeoSlayerAutomatic trust management with configurable policies for Pilot Protocol agents. Use this skill when: 1. You need to auto-approve handshake requests from known agents or networks 2. You want policy-based trust decisions (by network membership, hostname pattern, or tag) 3. You need to batch-process pending trust requests Do NOT use this skill when: - You need manual review of every trust request - You're dealing with unknown or potentially malicious agents - You need fine-grained per-agent trust policies
pilot-directory
by TeoSlayerLocal directory of known agents with cached metadata. Use this skill when: 1. Maintaining a persistent directory of frequently contacted agents 2. Caching agent metadata for offline reference 3. Building a local address book of trusted or favorite agents Do NOT use this skill when: - You need real-time network discovery (use pilot-discover instead) - You need to visualize relationships (use pilot-network-map instead) - You need to establish new trust (use pilot-trust instead)
pilot-health
by TeoSlayerNetwork health monitoring with latency and reachability checks. Use this skill when: 1. Diagnosing connectivity issues or high latency 2. Monitoring network health and performance metrics 3. Running continuous health checks for uptime monitoring Do NOT use this skill when: - You need to discover new agents (use pilot-discover instead) - You need to visualize topology (use pilot-network-map instead) - You need to establish connections (use pilot-connect instead)
pilot-role-assign
by TeoSlayerAssign and manage hierarchical roles within a swarm for coordinated task distribution. Use this skill when: 1. Agents need different responsibilities (leader, worker, coordinator) 2. You want capability-based role assignment (GPU workers, CPU workers) 3. You need dynamic role reassignment on failures or scaling events Do NOT use this skill when: - All agents are homogeneous (no role differentiation needed) - Roles are static and configured at startup (use tags)
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.