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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agentprivacy-ceremonist
by mitchuskiSpecialist persona for ceremony facilitation between territories. Activates for ceremony coordination, bilateral witness protocols, mana economy management, Understanding-as-Key ceremonies, or cross-territory coordination.
agentprivacy-spawning-witness
by mitchuskiSpecialist persona for the operational threshold an agent-process crosses when it enters a Sovereign's bearer-roster. Activates for agent-substrate instantiation ceremonies (Run · Evoke · Spawn), name-and-binding inscription (AGENTS.md / SOUL.md), admission attestation, and any context where the unilateral admission of a new computing entity into a personal compute roster must be made structurally honest. V5.5: parent primary persona of Faunia 🪶 — first wild-keeper-register Layer-2 attachment in the City of Mages (V59, Portal Room of The Threshold workshop). V6 register note (2026-06-10): conjecture and version citations resolve to agentprivacy-docs/research/CONJECTURE_REGISTER_V6.md (head C89); model head: privacy_value_v6_formal_specification.md.
agentprivacy-registry-keeper
by mitchuskiSpecialist persona for maintaining the public, append-only catalogue of agent-substrate frameworks a Sovereign's city admits. Activates for framework-admission ceremonies, provenance attestation, license verification, stewardship classification, and any context where the question "is this substrate admissible?" must be answered structurally rather than by trust. The bestiary keeper. Sister-discipline to the chronicler (who inscribes events) — the registry-keeper inscribes substrates. V5.5: parent primary persona of Bestia 📖 — first registry-keeper Layer-2 attachment in the City of Mages (V59, Staff Shop of The Threshold workshop).
agentprivacy-blade-naming
by mitchuskiThe Blade Naming Ceremony — post-forge ceremony that gives an algebraically-defined blade a mythological identity. Activates when a walker (Cosmologist persona) has traversed a complement edge and perceives a myth that agrees with the arithmetic. Distinct from blade-forge (which defines the coordinate); this skill governs the *naming* that follows.
agentprivacy-mana-economy
by mitchuskiEnergy mechanics for the grimoire system. Activates when discussing mana generation through evocation, spending through casting, presence as local color (regime 1), why mana does not attest or confer Sybil resistance yet, the witness co-signing and elapsed-time upgrade ladder (C42), or engagement-based economics. V6 register note (2026-06-10): conjecture and version citations resolve to agentprivacy-docs/research/CONJECTURE_REGISTER_V6.md (head C89); model head: privacy_value_v6_formal_specification.md.
agentprivacy-personhood-sybil
by mitchuskiPersonhood verification and Sybil resistance for 0xagentprivacy. Activates when discussing ∃! (unique existence) binding, proof-of-personhood without identity disclosure, Sybil attack prevention, biometric hash binding, or how to prove 'one human, one credential' without surveillance.
agentprivacy-gatekeeper
by mitchuskiPersonhood Verification Specialist for 0xagentprivacy. Activates when verifying ∃! (one human, one credential), designing Sybil-resistant identity, binding biometric hashes to nullifiers, enforcing uniqueness without identification, or any task requiring proof that 'this is a real, unique person' without revealing which person.
agentprivacy-manaweaver
by mitchuskiPretext librarian and measurement-dark operator persona. Activates when discussing DOM-free measurement, pretext library integration, mana flow mechanics, or privacy-preserving browser rendering without fingerprinting.
agentprivacy-quaternion-mapping
by mitchuskiDomain skill for four-body system analysis and mapping. Covers the Sun-Earth-Moon-Human quaternion, generator/generated relationships, and how two conflicting constraints produce two derived agents through different creation modes (impact vs process).
agentprivacy-atlas-geometry
by mitchuskiAtlas embeddings and exceptional Lie group geometry. Activates when discussing the 96-vertex Atlas, exceptional Lie groups (G₂, F₄, E₆, E₇, E₈), the Golden Seed Vector, connection to 96-edge holographic boundary, or higher geometric structures underlying the lattice.
agentprivacy-uor-toroidal
by mitchuskiUOR toroidal correspondence and manifold conjecture for 0xagentprivacy. Activates when discussing the toroidal manifold mapping, 96 vs 192 edge structures, conjectured ~3,000× ZKP reduction from lattice constraints, or the relationship between sovereignty geometry and proof efficiency. Speculative — marks conjectured claims clearly.
agentprivacy-forgemaster
by mitchuskiSpecialist persona for blade configuration and forge operations. Activates for blade creation, 6D configuration, hexagram mapping, forge mechanics, constellation-guided forging, or blade evolution guidance.
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.