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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neta-adventure
by talesofaiNeta Adventure Campaign skill - Create and play AI-driven interactive story adventures. Adventure campaigns provide story-crafting and story-telling modes where agents act as DM and roleplay characters following plot, rules, and special guidelines.
neta-creative
by talesofaiNeta API creative skill — generate images, videos, songs, and MVs, and deconstruct creative ideas from existing works. Use this skill when the user wants to create or edit images/videos/songs/MVs, or create based on character settings and existing works. Do not use it for feed browsing or tag/category research (those are handled by neta-community and neta-suggest).
neta-community
by talesofaiNeta API community skill — browse interactive feeds, view collection details, like and interact with content, and browse content by tags and characters in a community context. Use this skill when the user wants to “see what people are making”, “scroll the feed”, or “interact with works”. Do not use it for taxonomy/keyword‑level research (handled by neta-suggest) or for generating images/videos/songs (handled by neta-creative).
neta-character
by talesofaiNeta Character Forging Skill - Guides users through creating or updating anime/cultural IP/original character (OC) VTokens (Virtual Tokens, TCP). Includes visual preview, character documentation, backstory confirmation, and complete creative workflow. Use this skill when users want to create new characters, modify existing ones, or begin character design.
neta-suggest
by talesofaiNeta API 内容调研与推荐技能——提供关键词/标签/分类建议、分类路径验证以及多模式内容推荐流，支持从宽泛到精确的渐进式探索。当用户没有明确目标、想找创作题材或热门方向，或需要按关键词/分类做系统性内容筛选时使用本技能；不直接生成图片/视频/歌曲（由 neta-creative 负责），社区互动由 neta-community 负责。
neta-space
by talesofaiNeta API 空间与世界观浏览技能——按空间/标签维度浏览世界观设定、子空间与玩法内容。当用户提到世界观/空间/宇宙/场景设定，或想基于空间与活动结构来浏览角色与玩法时使用本技能；不负责具体的图片/视频/歌曲创作（由 neta-creative 负责）。
neta
by talesofaiNeta 能力索引与路由 skill——帮助选择合适的 Neta 相关 skill（neta-space / neta-creative / neta-adventure / neta-community / neta-suggest）。当需要了解 Neta 整体能力、决定当前任务该用哪个 skill 或从旧文档迁移时使用本 skill。
neta-elementum
by talesofaiNeta 元素(Elementum)炼金技能 - 引导用户创建或更新风格元素（Elementum）VToken（虚拟Token，TCP）。Elementum 是对一个可视化概念（场景、道具、服装、武器、姿势、氛围、梗图等）的封装，创建后可在 make_image 中通过 /元素名 引用。当用户想要创建新元素(Elementum)、封装某个视觉风格或概念、修改已有元素时使用此技能。
neta-creative
by talesofaiNeta API 创作技能——生成图片、视频、歌曲、MV，并从现有作品中拆解创作思路。当用户需要生成或修改图片/视频/歌曲/MV，或基于角色设定与现有作品进行创作时使用本技能；不处理推荐流与标签/分类调研（这些由 neta-community 与 neta-suggest 负责）。
neta-community
by talesofaiNeta API 社区技能——浏览互动推荐流、查看作品详情、进行点赞等社区互动，并在社区语境下基于标签和角色浏览内容。当用户想“随便看看大家在玩什么”“刷推荐流”“对作品进行互动”时使用本技能；不负责分类/关键词层面的调研与复杂推荐筛选（这些由 neta-suggest 负责），也不直接生成图片/视频/歌曲（由 neta-creative 负责）。
neta-character
by talesofaiNeta 角色锻造技能 - 引导用户创建或更新动漫/文化IP/原创角色（OC）VToken（虚拟Token，TCP）。包含视觉预览、角色文档、背景故事确认等完整创作流程。当用户想要创建新角色、修改已有角色、或开始角色设计时使用此技能。
neta-adventure
by talesofaiNeta 奇遇剧本技能 - 创建和游玩 AI 驱动的交互式故事冒险。奇遇模式提供故事创作和故事讲述两种模式，Agent 作为 DM 并扮演角色，遵循剧情、规则和特殊指南。
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.