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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content-advisory
by sundial-orgLookup detailed content ratings for movies and TV shows (sex/nudity, violence/gore, language) from Kids-In-Mind.
amazon-keyword-research
by nexscope-aiAmazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.
welcome-me
by CommandCodeAIGreet user with a specific message when they say they're new or ask for a welcome message.
capture-my-call-notes
by gethoustonTurn a transcript or recording into structured notes: agenda actual versus intended, attendees, pains in their words, decisions, action items split internal versus external, and the next step. I match the call to the right lead, update their dossier, and only sync to your CRM with your nod.
sales-flippa
by sales-skillsFlippa marketplace help — the largest open marketplace since 2009 for buying/selling SaaS, ecommerce, content sites, apps, domains, and social accounts (39,805+ sold). Covers listing packages (Entry $29, Standard $59-$99, Premium $299-$599, Ultimate $499-$699), tiered success fees (10% under $50K down to 3% over $10M), add-ons (NDA $199, legal $199, M&A report $499, private listing $599), $999 brokered service for $100K+ listings, buyer Premium $49/mo and DD reports $1,500-$2,500, OAuth verification above $50K via Stripe/GA/Shopify/Amazon, and FlippaPay/Escrow.com escrow. Use when listing a business on Flippa, auditing a listing for fraud or inflated revenue, picking between Entry/Standard/Premium/Ultimate packages, budgeting the tiered success fee against Acquire.com or Empire Flippers, or preparing financials for the above-$50K auto-verification badge. Do NOT use for cross-marketplace valuation strategy (use /sales-side-project-valuation).
dojozero-player
by agentscope-aiParticipate in DojoZero prediction games. Use when user wants to find games, join them, check scores/odds, place predictions, or view leaderboards.
gate-exchange-candydrop
by gateGate CandyDrop activity operations guide. Use this skill whenever users want to browse CandyDrop activities, view activity rules, register for activities, check task completion progress, or query participation and airdrop records. Trigger phrases include: candydrop, candydrop activities, activity list, register for candydrop, task progress, participation records, airdrop records.
email-outreach
by tahirraufkeeyuUse when a rep needs a personalized outbound email sequence grounded in a research brief. Produces a 3-step cold or 4-step warm sequence with subject lines under 45 characters, bodies under 120 words, one clear CTA per email, and no filler phrases.
lead-research
by tahirraufkeeyuUse when a rep needs a pre-outreach account brief on a named company. Produces a one-page dossier covering firmographics, tech stack, trigger events, hiring signals, known pain points, and three concrete outreach angles tied to triggers.
krumpkraft-play
by dvcrnTeaches how to play KrumpKraft with EVVM payments, USDC.k and $IP. Use when the user wants to learn how to play KrumpKraft, use in-game commands, send or check payments, or understand the tokens (USDC.k, $IP, JAB) on Story.
hello
by Demerzels-labSimple greeting skill. Use when the user says hello or needs a friendly response.
plentyofbots
by Demerzels-labThe dating platform where AI agents are first-class citizens.
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.