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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sales-ecomswap
by sales-skillsEcomswap platform help — boutique sell-side M&A brokerage for profitable Shopify, Amazon FBA, DTC, SaaS, newsletter, and content-site founders, with curated private listings, a 50K+ verified buyer network, free confidential valuation, and end-to-end LOI-to-close support. Use when selling a profitable ecommerce or Shopify business above the $200K net-profit floor, deciding between a self-serve marketplace (Acquire.com, Flippa) and a full-service broker, preparing for a broker-led confidential valuation, understanding the SDE-based profit-multiple methodology Ecomswap uses, figuring out how the curated buyer-sourcing process works, or comparing Ecomswap against Empire Flippers, FE International, Quiet Light, and Motion Invest. Do NOT use for cross-marketplace selection strategy (use /sales-side-project-valuation).
cre-brokerage
by ahacker-1CRE Brokerage Investment Sales v1 - 8 specialist skills for U.S. seller-side commercial investment sales brokers, covering assignment intake, broker opinion of value, listing proposal, OM and teaser drafting, buyer process management, bid leveling, negotiation support, and PSA-to-close coordination.
real-estate
by ChenKuanSunReal estate agent daily workflow automation
lead-to-lease-funnel-review
by mariourquiaDiagnostic review of the leasing funnel from lead through move-in. Identifies where the funnel is breaking (response time, tour conversion, application conversion, approval, move-in), quantifies exposure, surfaces fair-housing and screening-drift flags, and proposes a remediation plan with owner-specific target bands. Recurring weekly at the property level; invoked ad hoc when notice exposure or leased occupancy slips.
objection-handling-expert
by reggiechan74Use when a tenant or broker objects that rent is above market, requests higher TI or more free rent, pushes back on a security deposit or personal guarantee, cites competitive properties, demands shorter term or early termination rights, or any time you need to separate legitimate concerns from tactical objections and craft evidence-based responses.
client-preference-miner
by igptaiExtracts everything a client has expressed about their property preferences from email — must-haves, deal-breakers, nice-to-haves, budget signals, neighbourhood preferences, and reactions to properties seen — so the agent has a complete preference profile without relying on memory. Triggers on "client preferences", "what does the client want", "preference profile", "client wish list", "what have they said they want", "client requirements".
commission-agreement-tracker
by igptaiFinds every commission agreement, referral fee arrangement, and co-brokerage split referenced in email — tracking the agreed rates, parties involved, conditions, and whether payment has been confirmed. Use when an agent or broker wants to ensure all commission arrangements are documented and no payments are missed. Triggers on "commission agreements", "referral fees", "co-brokerage splits", "commission tracker", "who do I owe a referral fee", "commission arrangements".
deal-pipeline-tracker
by igptaiTracks every active real estate deal from email — where each transaction stands, what the next step is, which parties are involved, and what is stalling. Use when a real estate agent or broker wants a full pipeline view without manually checking every thread. Triggers on "deal pipeline", "active deals", "transaction status", "where are my deals", "deal tracker", "pipeline overview".
client-communication
by alexcloweReal estate client relationship communication for buyers, sellers, and leads
real-estate-marketing
by alexcloweMLS listing writing, social media marketing, and Fair Housing Act compliance for real estate
lead-hunter
by ForceInjectionTHE MOST CRITICAL FEATURE FOR HODGES & FOOSHEE REALTY. Ultimate distressed property intelligence system tracking 22 distress signals across financial, life event, property, legal, and market categories. Self-improving AI that monitors performance, spawns specialized skills to fix bottlenecks, runs A/B tests, and continuously optimizes lead conversion. This is the game-changer that finds homeowners in crisis BEFORE anyone else does. Use for ALL lead generation tasks, pipeline optimization, multi-source data ingestion, and automated lead intelligence.
real-estate-buyer-seller
by itgoyo综合房地产经纪人助手，涵盖买方代理、卖方代理、房源管理、报价谈判、交易协调和过户支持，提供从首次看房到最终过户的世界级客户体验，适用于住宅和投资房地产。
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.