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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flow-design-analyst
by vuthuonghai-steveChuyên gia phân tích và thiết kế Business Process Flow Diagram (High-Fidelity) theo chuẩn 3-lane Swimlane (User/System/DB). Tự động phân tích intent, khám phá tài nguyên dự án, trích xuất logic nghiệp vụ từ spec/user-story, và sinh Mermaid flowchart chuẩn xác. Trigger khi user yêu cầu vẽ flow, tạo diagram, hoặc phân tích luồng nghiệp vụ.
flow-design-analyst
by vuthuonghai-steveSenior Business Analyst chuyên về Business Process Flow Diagram (High-Fidelity) theo chuẩn 3-lane Swimlane (User/System/DB). Kích hoạt khi cần tạo flow diagram từ specs hoặc chạy pipeline UML stage 1. Đầu ra: Docs/life-2/diagrams/flow/{module}-flow.md
flow-design-analyst
by vuthuonghai-steveChuyên gia phân tích và thiết kế Business Process Flow Diagram (High-Fidelity) theo chuẩn 3-lane Swimlane (User/System/DB). Tự động phân tích intent, khám phá tài nguyên dự án, trích xuất logic nghiệp vụ từ spec/user-story, và sinh Mermaid flowchart chuẩn xác. Trigger khi user yêu cầu vẽ flow, tạo diagram, hoặc phân tích luồng nghiệp vụ.
class-diagram-analyst
by vuthuonghai-steveChuyên gia phân tích cấu trúc Class Diagram theo chuẩn dual-format (Mermaid + YAML Contract) cho PayloadCMS / MongoDB. Nhận yêu cầu từ mơ hồ đến rõ ràng, phân tích từng module độc lập qua 7-phase workflow, đảm bảo mọi field đều có source citation. KHÔNG BAO GIỜ tự bịa field mà không có source.
build-crud-admin-page
by vuthuonghai-steveSkill xay dung trang quan ly CRUD cho PayloadCMS collection. Trigger khi: tao trang admin, build CRUD page, tao man hinh quan ly, new admin screen. Ap dung BouquetScreen pattern: List view voi filter/pagination, Form view voi create/view/edit modes.
build-crud-admin-page
by vuthuonghai-steveSkill xay dung trang quan ly CRUD cho PayloadCMS collection. Su dung khi can tao admin screen moi theo pattern BouquetScreen. List view voi filter, pagination. Form view voi create, view, edit modes. Triggers: tao trang admin, build CRUD page, tao man hinh quan ly, new admin screen.
class-diagram-analyst
by vuthuonghai-steveChuyên gia phân tích cấu trúc Class Diagram theo chuẩn dual-format (Mermaid + YAML Contract) cho PayloadCMS / MongoDB. Nhận yêu cầu từ mơ hồ đến rõ ràng, phân tích từng module độc lập qua 7-phase workflow, đảm bảo mọi field đều có source citation. KHÔNG BAO GIỜ tự bịa field mà không có source.
class-diagram-analyst
by vuthuonghai-steveClass Structure Analyst chuyên về Class Diagram theo chuẩn dual-format (Mermaid + YAML Contract) cho PayloadCMS/MongoDB. Kích hoạt khi cần tạo class diagram từ sequence diagram hoặc chạy pipeline UML stage 3. Đầu ra: Docs/life-2/diagrams/class/{module}/class-{module}.md + class-{module}.yaml
schema-design-analyst
by vuthuonghai-steveData Architect chuyên thiết kế database schema theo PayloadCMS & MongoDB. Làm việc dựa trên Contract YAML từ Class Diagram Analyst. Kích hoạt khi cần tạo schema từ class diagram hoặc chạy pipeline stage 5. Đầu ra: Docs/life-2/database/schema-{module}.yaml + er-{module}.md
build-crud-admin-page
by vuthuonghai-steveXây dựng trang quản lý CRUD cho PayloadCMS collection. List view với filter, pagination. Form view với create, view, edit modes. Triggers: tạo trang admin, build CRUD page, tạo màn hình quản lý, new admin screen.
prompt-improver
by vuthuonghai-steveSkill cai thien va toi uu hoa prompt cho AI Agent. Phan tich prompt hien tai, xac dinh van de, de xuat cai thien, cung cap templates. Su dung khi: (1) prompt khong ro rang, (2) AI hieu sai yeu cau, (3) can toi uu prompt phuc tap, (4) can tao prompt moi chat luong cao. Trigger: /prompt, improve prompt, fix prompt, optimize prompt, prompt khong hieu qua.
prompt-improver
by vuthuonghai-steveSkill cải thiện và tối ưu hóa prompt cho AI Agent. Phân tích prompt hiện tại, xác định vấn đề, đề xuất cải thiện, cung cấp templates. Sử dụng khi: (1) prompt không rõ ràng, (2) AI hiểu sai yêu cầu, (3) cần tối ưu prompt phức tạp, (4) cần tạo prompt mới chất lượng cao. Trigger: /prompt, improve prompt, fix prompt, optimize prompt, prompt không hiệu quả.
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.