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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stall-run
by XiaoLuoLYGRun a market stall and handle daily stall tasks.
lead-researcher
by borgheiQualify and prioritize sales leads against an ICP definition, score lead lists for outreach worthiness, and draft personalized outreach hooks. Use when building a target account list, qualifying inbound leads, prepping for outreach, or when the user mentions lead research, prospecting, sales outreach, ICP scoring, or account targeting.
woz-share
by WithWozShare a WOZCODE referral code - friends get 20% off their first month, you get $20 in credit.
cold-email
by ricardonevesbragaQuando o usuário quiser escrever, melhorar ou construir uma sequência de emails de prospecção B2B a frio para prospects que não solicitaram contato. Use quando o usuário mencionar 'cold email', 'prospecção a frio', 'emails de prospecção', 'emails de SDR', 'emails de vendas', 'email de primeiro contato', 'sequência de acompanhamento' ou 'prospecção por email'. Use também quando compartilharem um rascunho de email que soa muito comercial e precisa ser humanizado. Distinto de email-sequence (lifecycle/nutrição para assinantes que optaram em) — este é contato não solicitado para novos prospects. NÃO para emails de lifecycle, newsletters ou campanhas de drip (use email-sequence).
email-outreach-run
by aAAaqwqAutomatic email outreach agent run
sales-bazzly
by sales-skillsBazzly platform help — AI-powered Reddit lead generation with intent scoring, contextual DM/reply drafting, Chrome extension for sending, and Reply Boost for visibility. Use when Bazzly AI-drafted messages sound generic and need heavy rewriting before posting, false positive leads are wasting your outreach credits, you want to reduce Reddit ban risk when using Bazzly DMs, subreddit limits on your plan are too restrictive for your niche, the Chrome extension isn't detecting leads in subreddits you've configured, you need to optimize credit usage across comments and Reply Boosts, or you're comparing Bazzly vs KeyMentions vs RedShip vs ReplyGuy for Reddit lead generation. Do NOT use for social listening strategy across tools (use /sales-social-listening) or choosing between Reddit monitoring platforms (use /sales-social-listening).
sales-field-sales
by sales-skillsHyperlocal field-sales strategy — door-to-door / territory / route-based outbound to cash-heavy local SMB owners (restaurants, gas stations, salons, gyms, contractors, HVAC) who ignore email cadences and aren't on Apollo or ZoomInfo. Covers corridor / territory target-list building from local sources (Google Maps Places API, Yelp Fusion, Outscraper — NOT Apollo), route and density planning, 60-second clerk pitch frameworks, objection handling for cash-heavy owners, non-email follow-up via SMS / handwritten note / phone, and field-sales platform selection (SalesRabbit, Spotio, Badger Maps, and more in the catalog). Use when planning a single-corridor pilot before multi-city expansion, can't find local SMBs on Apollo, an email cadence gets no replies from a restaurant owner, picking a field-sales platform for a small rep team, or following up on an in-person maybe. Do NOT use for database-driven B2B SaaS prospect lists (use /sales-prospect-list) or digital email/LinkedIn cadences (use /sales-cadence).
posthog-pls-transition-leads
by PostHogQualify and draft outreach for PostHog product-led leads who are hitting a billing transition — either startup program customers rolling off free credits, or users whose first invoice will be >= $2K. Use this skill when a TAE needs to work a startup rolloff lead, a high first-invoice alert, or any lead where the matching criteria mentions 'startup rolloff', 'credit spend', 'first invoice', 'credits expiring', or 'high usage transition'. Also trigger when a TAE pastes Salesforce lead details with matching criteria like 'Startup rolloff + high credit spend' or 'First invoice >= $2K'.
lead-research-assistant
by diegosouzapwIdentifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
linkedin-lead-filter
by xx254Filter a CSV of LinkedIn leads against ICP criteria and persist canonical lead state. Outputs qualified/disqualified files, a contract registry JSON, and weekly metrics. Use when you have a lead list and want repeatable qualification before outreach.
ebay
by clawicBuy, sell, and flip on eBay with listing optimization, pricing research, shipping calculations, and scam detection.
popup-referrals
by Demerzels-labCheck your PopUp referral link, track earnings, and see referred vendor status.
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.