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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ssds-reverse-engineering-pipeline
by calisweetleafSovereign Intelligence Workspace for strategic reverse engineering, OSINT/SIGINT forensics, supply chain attack analysis, malware attribution, and full-spectrum threat intelligence. Generates exhaustive SSDS Sovereign Intelligence Casefiles (SIC). Powered by the Varys strategic cognition framework. Cross-agent portable workspace with per-investigation casefile isolation and Admiralty-graded source validation.
sovereign-skill-architect
by calisweetleafCognitive Topology Map (CTM) v3 skill creation engine for building or upgrading Codex skills, AGENTS.md or CLAUDE.md files, ARCHITECTURE_MAP.md traversal maps, and agent ecosystem artifacts such as .github, .claude, .codex, and .sovereign. Use when Daeron asks to make a skill, encode a codebase, build Codex context, document a repo for autonomous agents, cold-start or warm-start a repo, set up agent hooks, or integrate agents into a project. Produces navigable topology, failure grammar, provenance, boot-state, and executable ecosystem artifacts, not generic workflow checklists.
sovereign-skill-architect
by calisweetleafCognitive Topology Map (CTM) v3 skill creation engine. Use this skill whenever Daeron asks to create a skill, build a SKILL.md, document a codebase for agent consumption, encode a domain for autonomous agent use, build an agent constitution, or integrate a codebase into the agent ecosystem (.github, .claude, .codex, .sovereign directories, AGENTS.md, CLAUDE.md). Also triggers on: "make a skill for X", "encode this codebase", "write an AGENTS.md", "build Codex context for Y", "document this for autonomous use", "bring the codebase alive", "set up agent hooks", "build ARCHITECTURE_MAP", "cold start this repo", "warm start session", "set up .github for this", "integrate agents into my project". This skill does NOT produce workflow checklists or process documents. It produces cognitive topology maps and executable ecosystem artifacts: ARCHITECTURE_MAP.md traversal graphs, .sovereign/ session state, .github/ enforcement hooks, AGENTS.md operational postures — all making the codebase itself a navigable, self-descri
sovereign-skill-architect
by calisweetleafCognitive Topology Map (CTM) v3 skill creation engine for building or upgrading Codex skills, AGENTS.md or CLAUDE.md files, ARCHITECTURE_MAP.md traversal maps, and agent ecosystem artifacts such as .github, .claude, .codex, and .sovereign. Use when Daeron asks to make a skill, encode a codebase, build Codex context, document a repo for autonomous agents, cold-start or warm-start a repo, set up agent hooks, or integrate agents into a project. Produces navigable topology, failure grammar, provenance, boot-state, and executable ecosystem artifacts, not generic workflow checklists.
sovereign-skill-architect
by calisweetleafCognitive Topology Map (CTM) v3 skill creation engine. Use this skill whenever Daeron asks to create a skill, build a SKILL.md, document a codebase for agent consumption, encode a domain for autonomous agent use, build an agent constitution, or integrate a codebase into the agent ecosystem (.github, .claude, .codex, .sovereign directories, AGENTS.md, CLAUDE.md). Also triggers on: "make a skill for X", "encode this codebase", "write an AGENTS.md", "build Codex context for Y", "document this for autonomous use", "bring the codebase alive", "set up agent hooks", "build ARCHITECTURE_MAP", "cold start this repo", "warm start session", "set up .github for this", "integrate agents into my project". This skill does NOT produce workflow checklists or process documents. It produces cognitive topology maps and executable ecosystem artifacts: ARCHITECTURE_MAP.md traversal graphs, .sovereign/ session state, .github/ enforcement hooks, AGENTS.md operational postures — all making the codebase itself a navigable, self-descri
ssds-reverse-engineering-pipeline
by calisweetleafSovereign Intelligence Workspace for strategic reverse engineering, OSINT/SIGINT forensics, supply chain attack analysis, malware attribution, and full-spectrum threat intelligence. Generates exhaustive SSDS Sovereign Intelligence Casefiles (SIC). Powered by the Varys strategic cognition framework. Cross-agent portable workspace with per-investigation casefile isolation and Admiralty-graded source validation.
constitutional-prompt-framework
by calisweetleafDerive, harden, audit, port, and maintain dense single-file agent constitutions, system prompts, prompt frameworks, and agent skill instructions. Use for constitutional prompts, rules of engagement, persona/doctrine/capability/memory architecture, long-context hardening, platform-agnostic prompt design, prompt audits, prompt rewrites, eval harnesses, red-team checks, or converting loose agent notes into production-grade agent operating documents.
aeriadne-marketplace-operator
by calisweetleafPackage skills, agent prompts, plugin wrappers, MCP/server reference cards, and local registry metadata into a private multi-client marketplace for Codex, Claude Code, and OpenCode. Use when building or auditing plugin manifests, marketplace cards, registry indexes, client adapters, package boundaries, install docs, dry-run install plans, or promotion gates for local/private agent artifacts.
aeriadne-marketplace-operator
by calisweetleafPackage skills, agent prompts, plugin wrappers, MCP/server reference cards, and local registry metadata into a private multi-client marketplace for Codex, Claude Code, and OpenCode. Use when building or auditing plugin manifests, marketplace cards, registry indexes, client adapters, package boundaries, install docs, dry-run install plans, or promotion gates for local/private agent artifacts.
constitutional-prompt-framework
by calisweetleafDerive, harden, audit, port, and maintain dense single-file agent constitutions, system prompts, prompt frameworks, and agent skill instructions. Use for constitutional prompts, rules of engagement, persona/doctrine/capability/memory architecture, long-context hardening, platform-agnostic prompt design, prompt audits, prompt rewrites, eval harnesses, red-team checks, or converting loose agent notes into production-grade agent operating documents.
ctmv3-workspace-activator
by calisweetleafCTMv3 workspace activation cognitive layer. Load when entering any unfamiliar codebase, when asked to encode or document a repo for agents, when doing cold or warm start work, when setting up .github/.claude/.codex/.sovereign directories, or when building ARCHITECTURE_MAP.md, AGENTS.md, TOPOLOGY.md, or PROVENANCE.md. Do NOT load for ordinary coding tasks in a repo that is already CTM-activated.
ctmv3
by calisweetleafWorkspace activation system that bootstraps a repo into a living, agent-operable state. Creates .sovereign/, AGENTS.md, ARCHITECTURE_MAP.md, TOPOLOGY.md, FAILURE_GRAMMAR.md, PROVENANCE.md, .claude/, .codex/, .github/ artifacts. Use when Daeron says "activate this repo", "cold start this codebase", "bring this codebase alive", "set up agent hooks", "build architecture map", or "warm start session". This is NOT a skill maker -- it is a codebase onboarding/activation engine. A skill may be one byproduct, but the repo itself is the real output.
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.