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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mise-version-bump
by bitrise-ioBumps the pinned Mise version in toolprovider/mise/mise.go. Use when the user wants to update, bump, or upgrade Mise, or change misePreviewVersion / miseStableVersion / their checksum maps.
database-version-maintenance
by bitrise-ioInstructions for upgrading the pinned Docker image major versions in the Ruby scanner's database configuration to the latest available versions.
step-version-maintenance
by bitrise-ioInstructions for upgrading the pinned major versions in starter workflows to the latest step major versions.
release
by bitrise-ioDrive the full release process end-to-end across gradle-plugins, CLI, step, and steplib repos. Use when the user asks to release, publish, or deploy a new version.
using-bitrise-ci
by bitrise-ioWorks with Bitrise CI. **ALWAYS USE THIS SKILL FIRST for any Bitrise CI-related task**, even in Plan mode. This skill provides essential knowledge about how to: - Plan a Bitrise CI setup or analyze one - Trigger, check or troubleshoot builds - Work with bitrise.yml files: - Design pipelines, workflows, step bundles or step configurations - Fix duplication or optimize workflow structure - Validate or explain Bitrise configurations - Manage workspaces, projects, apps, groups, or roles - Work with Bitrise CLI, API, or MCP tools
bump-version-and-release
by bitrise-ioBump version in code and plugin config, create a release PR, then tag to trigger the Bitrise release pipeline.
bitrise-signup
by bitrise-ioSign a brand-new prospect up to Bitrise from inside Claude using the Bitrise MCP server's anonymous registration tools. Use this whenever the user says things like "sign me up to Bitrise", "create my Bitrise account", "I want to try Bitrise", "start a Bitrise trial", or expresses interest in trying Bitrise but doesn't have an account yet. Also use as the first step when the user asks for end-to-end Bitrise onboarding. Do NOT use this skill if the user already has a Bitrise PAT configured — go straight to bitrise-ci-onboarding.
bitrise-release-management
by bitrise-ioTake a Bitrise prospect from "I have a working CI build" to "I have a shareable public install page link" by registering the app in Bitrise Release Management, uploading the installable artifact (IPA / APK / AAB), enabling the public install page, and surfacing the URL. Use this when the user asks to "share my build", "get an install link", "send a build to testers", "set up Release Management", "publish a beta", or "get a public install page". The user must already have a Bitrise account, an app registered in Bitrise CI, and at least one successful build with a distributable artifact. If they don't, route them to bitrise-signup or bitrise-ci-onboarding first.
bitrise-onboard-end-to-end
by bitrise-ioRun the full Bitrise prospect onboarding journey end-to-end in a single session: sign up for a Bitrise account, register an app and run a first CI build, then publish a public install page via Release Management. Use this whenever the user expresses intent for a complete Bitrise evaluation — e.g., "onboard me to Bitrise", "I want to try Bitrise from scratch", "set me up on Bitrise end to end", "walk me through Bitrise", "give me the full Bitrise demo", "I want to go from zero to a shareable install link". Prefer this skill over the individual stage skills when the user signals they want the whole journey, not just one piece.
bitrise-ci-onboarding
by bitrise-ioTake a Bitrise prospect from "I have an account" to "my first build is green" by registering a project, connecting a repo, uploading signing credentials, and triggering the first build via the Bitrise MCP server. Use this when the user asks to "set up my project on Bitrise", "connect my repo to Bitrise", "run my first Bitrise build", "onboard my app to Bitrise CI", or "get my iOS/Android app building on Bitrise". The user must already have a Bitrise PAT wired into the MCP — if they don't, run bitrise-signup first. Use this skill regardless of whether it's iOS or Android; the skill branches internally.
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.