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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by whawkinsivUse this skill when the user doesn't know what to work on next, asks 'what should I do?', wants to find high-value opportunities, or needs help deciding where to spend their time. Also use when the user mentions 'what should I do next,' 'what should I work on,' 'where should I focus,' 'find low-hanging fruit,' 'what's the most valuable thing I could do,' or 'I don't know what to do.' Scans the full project — code, infrastructure, marketing, growth, business — and surfaces 3-5 high-impact, low-effort opportunities ranked by value. Routes each recommendation to the right skill.
glossary
by whawkinsivUse this skill when the user doesn't understand a technical term, asks 'what is a [technical concept],' 'what does [term] mean,' seems confused by jargon in another skill, or is encountering developer concepts for the first time. Covers the 50+ technical terms non-technical founders encounter most, explained in plain English with no jargon.
sales
by whawkinsivUse this skill when the user needs to find their first customers, write cold outreach, build a prospect list, or close early sales. Covers founder-led sales methodology, outreach templates, personalization, LinkedIn strategy, and landing the first 100 customers.
landing-page
by whawkinsivUse this skill when the user needs to create or improve a landing page, write above-the-fold copy, structure a sales page, or increase landing page conversion rates. Also use when the user says 'build my landing page,' 'homepage copy,' 'hero section,' or 'marketing site.' Covers page structure, headline formulas, buyer psychology, and conversion elements.
humanize
by whawkinsivUse this skill when the user wants to remove AI-generated writing patterns from text, make copy sound more natural and human-written, or edit content that reads like it was written by ChatGPT. Also use when the user says 'this sounds like AI,' 'too robotic,' 'AI slop,' 'make this sound human,' 'sounds like ChatGPT,' or 'remove AI patterns.' Detects and fixes 24 patterns including significance inflation, promotional language, superficial -ing analyses, vague attributions, AI vocabulary words, and more.
support
by whawkinsivUse this skill when the user needs to create help docs, build a knowledge base, set up self-serve support, or reduce support tickets. Covers documentation strategy, help center structure, support tone, and scaling support without hiring.
community
by whawkinsivUse this skill when the user needs to build a user community, start a Discord or forum, create a community strategy, reduce support load through peer-to-peer help, or use community as a growth channel. Covers community platform selection, launch strategy, engagement tactics, and scaling community without it consuming all your time.
feedback
by whawkinsivUse this skill when the user needs to collect user feedback, run surveys, set up NPS, prioritize feature requests, close the feedback loop, or turn customer input into product decisions. Covers feedback collection methods, survey design, prioritization frameworks, and building a feedback-driven product culture.
growth
by whawkinsivUse this skill when the user needs to design a product-led growth strategy, build viral loops, improve activation metrics, or reduce churn. Covers PLG funnels, activation metrics, viral mechanics, retention strategies, and growth systems.
launch
by whawkinsivUse this skill when the user needs to plan a product launch, prepare for Product Hunt, build a waitlist, coordinate a launch week, sequence go-to-market activities, or figure out how to get first users. Covers launch playbooks, beta programs, Product Hunt strategy, and post-launch momentum for bootstrapped SaaS.
niche-advantage
by whawkinsivUse this skill when the user is a domain expert building for their own industry and wants to leverage their professional expertise as a competitive advantage. Also use when the user mentions 'I'm a [profession] building for [same profession],' 'I know my industry,' 'I have connections in my field,' 'how do I reach other [professionals],' or 'industry-specific marketing.' Covers using professional networks for sales, authority content, industry distribution channels, and positioning 'built by a practitioner' as a moat.
pricing
by whawkinsivUse this skill when the user needs to set pricing, design pricing tiers, choose value metrics, build a pricing page, or test price changes. Also use when the user mentions 'how much should I charge,' 'freemium vs free trial,' 'pricing page,' or 'monetization.' Covers pricing psychology, tier design, anchoring, self-selection mechanisms, and monetization strategy for SaaS.
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.