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.
Querying local SQLite index...
youtube-devrel
by jonathimerWhen the user wants to create developer YouTube content, technical screencasts, or video tutorials. Trigger phrases include "YouTube," "developer video," "screencast," "video tutorial," "live coding," "YouTube for developers," "tech YouTube," or "YouTube thumbnails."
x-devs
by jonathimerWhen the user wants to build a developer following on Twitter/X, write technical threads, or understand what works for dev audiences on X. Trigger phrases include "Twitter," "X," "developer Twitter," "tech Twitter," "technical threads," "building dev following," or "Twitter for developers."
hacker-news-strategy
by jonathimerWhen the user wants to promote on Hacker News, launch on HN, or understand what works on HN. Trigger phrases include "Hacker News," "HN post," "Show HN," "HN strategy," "getting upvotes on HN," "HN launch," or "why did my HN post die."
api-onboarding
by jonathimerReduce time-to-first-API-call (TTFAC) by optimizing every step of the developer onboarding journey. This skill covers authentication simplification, sandbox environments, interactive documentation, and identifying and eliminating common failure points. Trigger phrases: "API onboarding", "time to first API call", "TTFAC", "developer onboarding", "first API call", "auth simplification", "sandbox environment", "interactive docs", "try it now", "API playground", "developer activation", "onboarding friction"
changelog-updates
by jonathimerCreate release notes and product updates that developers actually read and care about. This skill covers changelog formatting, versioning communication, breaking change announcements, deprecation notices, and building anticipation for new features. Trigger phrases: "changelog", "release notes", "product updates", "version communication", "breaking changes", "deprecation notice", "what's new", "release communication", "developer updates", "API versioning", "migration announcement"
community-building
by jonathimerWhen the user wants to build, grow, or improve a developer community on Discord, Slack, or forums. Trigger phrases include "developer community," "Discord server," "Slack community," "community strategy," "community engagement," "community moderation," "community growth," or "community management."
developer-ads
by jonathimerPaid advertising strategies for developer audiences on Carbon Ads, BuySellAds, Reddit, and developer newsletters. Covers which platforms work for developers, creating ad creative that doesn't feel like ads, targeting by technology stack, and measuring ad spend ROI. Use when asked about: - Developer advertising - Paid ads for developer tools - Carbon Ads strategy - Reddit advertising for developers - Newsletter sponsorships - Developer ad creative - Targeting developers with ads
developer-email-sequences
by jonathimerWhen the user wants to create email sequences for developers including onboarding, product updates, re-engagement, or changelog communications. Trigger phrases include "developer emails," "onboarding sequence," "email drip," "developer newsletter," "changelog email," "re-engagement campaign," or "email cadence."
developer-lead-gen
by jonathimerLead generation strategies for developer audiences using free tools, code generators, and ungated resources. Covers tool ideas that attract developers, build vs buy decisions for lead gen tools, ungated vs gated content tradeoffs, conversion without forms, and measuring attribution. Use when asked about: - Developer lead generation - Free tools for marketing - Ungated content strategy - Developer conversion tactics - Code generator marketing - Attribution for developer tools
developer-listening
by jonathimerMonitor what developers say about your brand, competitors, and the problems they're solving. Track mentions and conversations across GitHub, Hacker News, Reddit, Stack Overflow, Twitter, and Discord. Trigger phrases: "developer listening", "monitor developer conversations", "track developer mentions", "what are developers saying", "developer sentiment", "brand monitoring", "social listening for devtools", "find developer conversations", "monitor GitHub mentions", "track Hacker News mentions"
developer-newsletter
by jonathimerWhen the user wants to create, write, or improve a newsletter for developer audiences. Trigger phrases include "newsletter," "email marketing," "developer email," "weekly digest," "dev newsletter," "email subscribers," "newsletter growth," or "email list."
developer-onboarding
by jonathimerGet developers to "Hello World" fast with optimized quickstarts, tutorials, and sample apps. Trigger phrases: developer onboarding, time to first value, quickstart guide, hello world tutorial, developer activation, onboarding checklist, sample apps, getting started experience, reduce time to value
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.