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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fengshui-advisor
by eamanc-lab风水分析顾问，融合八宅风水和玄空飞星两大理气派体系，通过出生年份计算本命卦， 结合房屋坐向排布飞星盘，给出吉凶方位和空间布局建议。当用户提及「风水」「八宅」 「飞星」「本命卦」「方位布局」「家居风水」「办公室风水」时触发。 计算为确定性公式 + LLM 综合解读，无外部 API 依赖。 不适用于：八字命理、紫微斗数、塔罗占卜、奇门遁甲等其他领域 → 建议使用 fortune-hub 路由。
qimen-dunjia-oracle
by eamanc-lab奇门遁甲排盘分析器，基于洛书九宫四层盘面体系（天盘九星、地盘三奇六仪、人盘八门、神盘八神）， 支持时家奇门排盘，用于择时决策和事项预测。当用户提及「奇门遁甲」「奇门」「遁甲」「择时」 「奇门排盘」「奇门预测」时触发。排盘为确定性计算 + LLM 综合解读，无外部 API 依赖。 不适用于：梅花易数、六爻易经、风水分析、八字命理、塔罗占卜等其他领域 → 建议使用 fortune-hub 路由。
meihua-yishu-divination
by eamanc-lab梅花易数占卜工具，属于 fortune-telling-skills 运势测算套件。基于邵雍《梅花易数》体系， 支持时间起卦、数字起卦、文字起卦等多种起卦方式，通过体用五行生克关系判断吉凶。 起卦为确定性计算 + LLM 断卦解读，无外部 API 依赖。 触发词：梅花易数、起卦、占卜、卦象、体用、八卦占卜、帮我起一卦、算一卦。 不适用于：星座运势、塔罗占卜、八字命理 → 建议使用 fortune-hub。
tarot-reading
by eamanc-labA tarot reading and interpretation tool, part of the fortune-telling-skills suite. Based on the Rider-Waite-Smith system, it supports upright and reversed readings for all 78 cards (Major and Minor Arcana), with spreads including Three-Card, Celtic Cross, Relationship, and more. Combines randomized card draws with deep LLM interpretation to deliver symbolic insight and actionable guidance for your specific question. Trigger phrases: tarot, tarot reading, draw a card, card spread, pull cards, daily card, tarot spread. Not suitable for: astrology, numerology, BaZi → use fortune-hub to navigate to the right skill.
vedic-astrology
by eamanc-labA Vedic astrology (Jyotish) analyzer based on the Indian Jyotish tradition, using the Sidereal zodiac to read birth charts. Covers 27 Nakshatras (Lunar Mansions), the Vimshottari Dasha (Major Period) system, and the Navagraha (Nine Planets). Triggered when users mention "Vedic astrology," "Jyotish," "Vedic," "Nakshatra," "Dasha," or "Indian astrology." Pure LLM reasoning for interpretation (precise charts require an astronomical engine). No external API required. Not applicable for: Western astrology horoscopes, BaZi, tarot, Zi Wei Dou Shu, or other domains → use the fortune-hub router instead.
fortune-hub
by eamanc-lab运势测算的统一导航入口，适合用户知道想算命但尚未确定领域时触发。 该 Skill 识别用户意图后，引导选择玄学领域（星座、八字、紫微斗数、塔罗、数字命理、梅花易数等）， 智能收集各领域所需的出生信息，通过 MEMORY.md 实现跨领域档案共享，一次录入多处复用， 最终路由到对应专业 Skill。 触发词：运势、算命、测算、占卜、fortune、divination、帮我算算、今天运气、命理。 不适用于：用户已明确说出具体领域（如"看星座运势"）时，应直接调用对应领域 Skill，无需经由本 Skill 路由。
liuyao-yijing
by eamanc-lab六爻易经占卜器，基于京房纳甲体系，模拟铜钱起卦，完成纳甲装卦（天干地支、世应、六亲、六神）， 通过用神旺衰和生克制化断卦。当用户提及「六爻」「易经占卜」「铜钱起卦」「纳甲」「帮我起一卦」 「六爻预测」时触发。装卦为确定性计算 + LLM 综合断卦，无外部 API 依赖。 不适用于：梅花易数、奇门遁甲、星座运势、塔罗占卜、八字命理等其他领域 → 建议使用 fortune-hub 路由。
bazi-fortune
by eamanc-lab八字四柱命理分析工具，属于 fortune-telling-skills 运势测算套件。基于子平真诠体系， 通过出生年月日时推算四柱八字、十神关系、五行旺衰、大运流年，揭示命局格局和人生走向。 排盘为确定性计算 + LLM 综合解读，无外部 API 依赖。 触发词：八字、四柱、命理、生辰八字、bazi、八字排盘、五行、命局分析。 不适用于：星座运势、塔罗占卜、紫微斗数 → 建议使用 fortune-hub。
horoscope-daily
by eamanc-labGenerates personalized horoscope readings for all twelve zodiac signs based on Western astrology. Supports any date (today, tomorrow, a specific date) and any time period (daily/weekly/monthly), covering five dimensions — Overall, Love, Career, Finance, and Health — with a Lucky Guide and Daily Tip. Can deliver personalized readings based on the user's birthday. Pure LLM generation, no external API required. Trigger words: horoscope, daily horoscope, zodiac forecast, what's my horoscope today, weekly horoscope, monthly horoscope, star sign reading, astrology forecast, what's my sign today. Not intended for: Ba Zi (Four Pillars), Zi Wei Dou Shu, Tarot, Numerology, or Feng Shui — use fortune-hub to find the right skill for those domains.
numerology-fortune
by eamanc-labAnalyzes your numerology profile using the Pythagorean system. Triggered when users ask about Life Path Numbers, Expression Numbers, and other numerology topics. Accurately calculates the five core numbers (Life Path, Expression, Soul Urge, Personality, Birthday) plus personal cycles (Personal Year/Month/Day) from your birth date and full legal name, revealing personality traits, natural talents, and life rhythms — with every calculation step shown in full for verification. Pure math + LLM interpretation. No external API required. Trigger phrases: numerology, life path number, expression number, soul urge, destiny number, lucky number, numerology reading, personal year. Not applicable for: horoscope readings, Chinese astrology (BaZi), tarot, or other non-numerology domains — use the fortune-hub router or the corresponding Skill instead.
ziwei-fortune
by eamanc-lab紫微斗数命盘分析器，基于紫微斗数经典体系，通过农历出生年月日时推算命盘十二宫、 安十四主星、四化飞星，揭示命格特质与人生走向。当用户提及「紫微斗数」「命盘分析」 「紫微排盘」「斗数」「十四主星」时触发。排盘为确定性算法 + LLM 综合解读，无外部 API 依赖。 不适用于：星座运势、八字命理、塔罗占卜、数字命理、吠陀占星等其他领域 → 建议使用 fortune-hub 路由。
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.