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.
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Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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greek-individual-taxes
by LeoYeAIComprehensive Greek individual tax return processing skill for employed individuals. Handles E1 form preparation, personal income tax calculations, deductions optimization, property taxes (ENFIA), and individual compliance management. Designed for Greek tax residents with employment income, property, and investment income.
tax-bracket-simulator
by revfactory세율 구간별 세액을 시뮬레이션하고 절세 포인트를 식별하는 세율 구간 분석기. 'tax-engine'과 'strategy-advisor' 에이전트가 세액을 계산하고 절세 전략을 수립할 때 이 스킬의 세율표, 계산 공식, 구간 분석 방법을 반드시 활용해야 한다. '세율 구간 분석', '세액 시뮬레이션', '한계세율 계산' 등에 사용한다. 단, 공제 최적화나 소득 분류는 이 스킬의 범위가 아니다.
deduction-optimizer-engine
by revfactory소득공제·세액공제 항목을 최적 조합으로 극대화하는 공제 최적화 엔진. 'deduction-optimizer' 에이전트가 공제 항목을 분석하고 최적 조합을 도출할 때 이 스킬의 공제 한도표, 우선순위 알고리즘, 시뮬레이션 방법을 반드시 활용해야 한다. '공제 최적화', '세액공제 극대화', '연말정산 시뮬레이션' 등에 사용한다. 단, 소득 분류나 세액 계산은 이 스킬의 범위가 아니다.
tax-calculator
by revfactory세금 계산과 절세 전략 수립의 전 과정을 에이전트 팀이 협업하여 생성하는 풀 파이프라인. '세금 계산해줘', '연말정산 시뮬레이션', '종합소득세 얼마나 나와', '절세 방법', '세액공제 최적화', '연금저축 세액공제', '사업소득 세금', '프리랜서 세금', '양도소득세 계산', '실효세율 분석' 등 세금 계산·절세·세무신고 관련 요청에 이 스킬을 사용한다. 기존 세금 자료가 있으면 분석이나 최적화를 지원한다. 단, 세무사·공인회계사 업무 대체, 세무 대리·신고 대행, 조세불복·심판 대리는 이 스킬의 범위가 아니다.
tax-planning-checklist
by mohitagw15856Generate a structured tax planning checklist and review framework for any individual or business context. Use when asked to review tax planning, prepare for year-end tax, check tax efficiency, or identify tax-saving opportunities. Produces a checklist of considerations, common reliefs, and a review framework. Not a substitute for qualified tax advice.
it-cloud-ki-und-outsourcing
by KlotzketteIT, Cloud, KI und Outsourcing: vertiefter Berufsrechts-Skill für Steuerberater; prüft Berufsgeheimnis, Datenschutz, Anbieterprüfung, Logging und No-Training-Klauseln, typische Rechtsprechungslinien nur nach Live-Verifikation, Kammerpraxis, Verteidigung und nächste Handlung im Berufsrecht Steuerberater: prüft konkret die einschlägigen Tatbestandsmerkmale, Fristen, Belege und Rechtsprechung. Liefert priorisierten Output mit Norm-Pinpoints, Risikoampel und nächstem Arbeitsschritt.
lohn-mindestlohn-aktuell-2026-anpassung
by KlotzketteAktueller Mindestlohn 2026 Anpassung. Anwendungsfall Prüfung des aktuellen MiLo-Wertes Auswirkung auf Mini- Midi-Job-Grenzen Vertragsklauseln Mandanten-Information. Methodik Verifikation amtliche Quellen Mandantenkommunikation. Output MiLo-Übersicht aktuell Verifikations-Hinweis.
honorarstreit-und-schlichtung-organisationspflich
by KlotzketteSteuerberater: honorarstreit und schlichtung - Organisationspflichten, Prävention, Team-Anweisung und Fristenkontrolle; mit Live-Normencheck, Kammerlogik, Verhältnismäßigkeit, Belegplan und nächstem Schritt im Berufsrecht Steuerberater: prüft konkret die einschlägigen Tatbestandsmerkmale, Fristen, Belege und Rechtsprechung. Liefert priorisierten Output mit Norm-Pinpoints, Risikoampel und nächstem Arbeitsschritt.
honorarstreit-und-schlichtung-rechtsprechungschec
by KlotzketteSteuerberater: honorarstreit und schlichtung - Rechtsprechungscheck, stärkste Gegenansicht und Red-Team-Korrektur; mit Live-Normencheck, Kammerlogik, Verhältnismäßigkeit, Belegplan und nächstem Schritt im Berufsrecht Steuerberater: prüft konkret die einschlägigen Tatbestandsmerkmale, Fristen, Belege und Rechtsprechung. Liefert priorisierten Output mit Norm-Pinpoints, Risikoampel und nächstem Arbeitsschritt.
interessenkollision-ehegatten-gesellschafter-kammerantwort
by KlotzketteSteuerberater: interessenkollision ehegatten und gesellschafter - Kammerantwort mit Verfahrensstrategie, Tonlage und Belegplan; mit Live-Normencheck, Kammerlogik, Verhältnismäßigkeit, Belegplan und nächstem Schritt im Berufsrecht Steuerberater: prüft konkret die einschlägigen Tatbestandsmerkmale, Fristen, Belege und Rechtsprechung. Liefert priorisierten Output mit Norm-Pinpoints, Risikoampel und nächstem Arbeitsschritt.
interessenkollision-ehegatten-gesellschafter-orgapflicht
by KlotzketteSteuerberater: interessenkollision ehegatten und gesellschafter - Organisationspflichten, Prävention, Team-Anweisung und Fristenkontrolle; mit Live-Normencheck, Kammerlogik, Verhältnismäßigkeit, Belegplan und nächstem Schritt im Berufsrecht Steuerberater: prüft konkret die einschlägigen Tatbestandsmerkmale, Fristen, Belege und Rechtsprechung. Liefert priorisierten Output mit Norm-Pinpoints, Risikoampel und nächstem Arbeitsschritt.
interessenkollision-ehegatten-gesellschafter-rspr-check
by KlotzketteSteuerberater: interessenkollision ehegatten und gesellschafter - Rechtsprechungscheck, stärkste Gegenansicht und Red-Team-Korrektur; mit Live-Normencheck, Kammerlogik, Verhältnismäßigkeit, Belegplan und nächstem Schritt im Berufsrecht Steuerberater: prüft konkret die einschlägigen Tatbestandsmerkmale, Fristen, Belege und Rechtsprechung. Liefert priorisierten Output mit Norm-Pinpoints, Risikoampel und nächstem Arbeitsschritt.
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.