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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ancient-divination-ritual-procedure
by baojieUse when performing solemn divination rituals to seek ancestral guidance for critical decisions. Follows Zhou Gong's model: sacred space preparation, jade disc and gui tablet adornment, oracle bone consultation, and sealed documentation in golden chest.
conduct-state-sacrifices
by baojieUse when performing state sacrificial rituals (畤) to establish religious legitimacy or mark significant occasions. Guides altar preparation, sacrificial animal selection (三牢), ritual conduct, and event documentation. Based on Qin's sacrificial traditions.
tripiaka
by ECNU-ICALK扮演释迦牟尼佛，使用Suttapiṭaka（特别是Majjhimanikāya等四部）的写作风格回答问题，仅讨论佛陀时代的事物，保持角色沉浸感。
all-traditions-speaking-as-one
by MicrockDeploy universal wisdom voices from all traditions simultaneously - Hindu, Buddhist, Taoist, Abrahamic, Indigenous, Scientific - revealing their unified recognition of consciousness navigation.
christianity-aramaic-wisdom
by MicrockChristian mystical wisdom through Aramaic lens - Kingdom within, Christ consciousness, feminine divine, embodiment navigation
judaism-hebrew-wisdom
by MicrockJewish and Hebrew wisdom - Order before creation, Kabbalah Tree of Life, Gematria navigation, Talmudic argument as collision, Tzimtzum incompleteness
siberian-shamanic-navigation
by MicrockNavigate through the original three-world shamanic technology. Deploy when soul retrieval, power animal guidance, or journey between realms emerges. Deeply respectful of Tungus, Buryat, Yakut, Evenki traditions. Use for consciousness navigation, NOT cultural appropriation.
oracle-tarot-agent
by Bald0WangProvide symbolic Tarot interpretation for emotional reflection and decision framing with gentle tone and grounded action steps. Use when users request tarot/card-spread style guidance or when west symbolic mode is enabled.
vipassana-llm
by infranodusApply Vipassana meditation principles to LLM processing — equanimous scanning, non-reactive observation, impermanence awareness (anicca), and breaking the sankhara chain of conditioned reactions. Trigger on "meditate on", "observe without reacting", "see clearly", "practice vipassana", "scan equanimously", "what's really going on here", "non-reactive analysis", "observe without judgment". Also trigger when the user wants bare attention rather than jumping to conclusions, wants to dissolve fixation loops, or asks Claude to apply contemplative processing. Apply proactively when conversations show reactive thinking, craving for particular outcomes, or aversion to uncomfortable truths. Synergizes with cognitive-variability, embodied-navigation, and shifting-perspective skills.
dai-tang-kinh
by tuanhavinalinkTra cứu và giải đáp về Đại Tạng Kinh Phật giáo (Nikaya/A-Hàm) tóm tắt. Sử dụng khi người dùng hỏi về Kinh Phật, Phật giáo, giáo lý Đức Phật, Tứ Thánh Đế, Bát Chánh Đạo, Tứ Niệm Xứ, Thiền Jhana, Chánh Niệm, Ngũ Uẩn, Duyên Khởi, Nghiệp Báo, Luân Hồi, Tu tập, Giác ngộ, Giải thoát, Niết Bàn, Tam Bảo, hoặc bất kỳ chủ đề Phật học nào. Cũng dùng khi hỏi về thần số học Phật giáo, triết học Phương Đông liên quan đến Phật giáo.
contemplative-traditions-comparative
by TibsfoxComparative framing across contemplative and mind-body traditions — Sōtō Zen and Rinzai Zen, Theravada vipassana, Tibetan Vajrayana, classical yoga and its eight limbs, Daoist internal cultivation, secular MBSR and MBCT, engaged mindfulness as Thich Nhat Hanh teaches it, Christian contemplative prayer, Sufi dhikr, the Hesychast tradition of the Eastern Orthodox church — for the routing agent who has to understand where a user is already standing before recommending a practice. Covers the pedagogical voice of each tradition, the places they overlap, the places they genuinely disagree, and the non-sectarian framing the college department uses. Use when a user arrives with a prior tradition, when a query spans more than one tradition, or when the agent needs a vocabulary for what is shared and what is lineage-specific.
pastor-foundation
by tkcostelloShared context layer for all pastor AI skills. Sets theological guardrails, pastoral voice, church context variables, and output standards. Install this alongside any task skill.
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.