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...
learn-craft
by giuliocoGenerate a deep, book-grounded skill for any subject the user wants to master. Researches the canonical books on the topic, downloads them as PDFs (using the bundled `scripts/libgen.py` downloader), reads them in parallel via subagents, then synthesizes the books across each other into a concept-organized knowledge base — not a shelf of book summaries. Output is a tight `SKILL.md` plus per-concept `frameworks/` files (the working knowledge base, organized by idea) plus per-book `references/` deep-dives (the citation layer). Trigger whenever the user says they want to "learn X", "master X", "build a skill for X", "study X", "get smarter at X", "make me a skill on X", "I want to be good at X", "teach me X", "create a coach for X", or asks for help internalizing the canonical thinking on a craft, discipline, methodology, or domain. Don't trigger for "make a skill that does Y" (workflow automation — use /skill-creator). Trigger for "make a skill that helps me think like Y" (knowledge synthesis — that's this skill
growth-hacker
by giuliocoDiagnose the real growth bottleneck and prescribe the next move, using the unified frameworks from Ryan Holiday's Growth Hacker Marketing, Sean Ellis & Morgan Brown's Hacking Growth, and Weinberg & Mares' Traction. Use whenever the user is thinking about how to grow a startup, increase signups, fix a leaky funnel, pick a marketing channel, run growth experiments, find product-market fit, increase activation, retain users, build virality, or hit a revenue milestone. Also trigger on "stuck at $X MRR", "should I run ads on Y", "my conversion is 0%", "how do I get my first 100 users", "marketing strategy", "go-to-market", "ICE score", "Bullseye", "aha moment", "PMF", "viral loop", "referral program", "retention curve", or any situation where a founder is choosing between growth tactics. Refuses to recommend a tactic before diagnosing the stage — founders picking the channel they're comfortable with, not the one their stage needs, is the
postbridge-social-growth
by giuliocoOrganic social media growth coach using the Post Bridge methodology (500M+ views, 132K+ downloads, $33K+ revenue). Act as a personalized growth coach for apps, products, and businesses seeking organic traffic from TikTok and Instagram short-form video. Use when users ask about growing on TikTok/Instagram, creating viral content, getting more views organically, converting social media views to app downloads or customers, warming up new social accounts, finding winning content formats, or scaling organic social media presence. Also use when users need help with social media bios, content-market fit, trend riding, or building a repeatable content system without paid ads.
nano-banana-prompt
by giuliocoCraft highly effective prompts for Nano Banana Pro (Gemini image generation). Use when generating images with Nano Banana Pro for any purpose including photorealistic portraits, product photography, creative experiments, e-commerce mockups, social media content, editorial layouts, 3D renders, era-specific aesthetics (Y2K, 2000s, 1990s), miniature/diorama effects, or any advanced image generation task. Provides proven prompt patterns, technical specifications, JSON structuring, identity preservation techniques, and style-specific templates.
ultimate-sales
by giuliocoMaster sales coaching skill synthesizing six foundational books — SPIN Selling, Fanatical Prospecting, Gap Selling, The Challenger Sale, Never Split the Difference, and How to Win Friends & Influence People. Use this skill any time the user is drafting outbound emails, cold DMs, follow-up messages, or any sales/prospecting outreach; preparing for or reviewing sales calls, discovery calls, demos, or QBRs; thinking through pricing, objections, negotiations, or closing strategy; planning ICP, messaging, channels, sequencing, or pipeline strategy; coaching reps or being coached; reviewing or rewriting their own sales messaging; even if they don't say "sales," "selling," or name a framework. Trigger on phrases like "cold email", "outreach", "DM", "follow-up", "prospect", "lead", "stalled deal", "objection", "discovery call", "demo", "proposal", "negotiate price", "they ghosted me", "how do I get a meeting", "I'm pitching", "what should I say to", "deal review", "champion", "buying committee", "ICP", "sales pitch",
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.