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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xlsx
by floomhqUse this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path. Also trigger for cleaning or restructuring messy tabular data files into proper spreadsheets.
yc-pitch-deck
by floomhqCreate investor pitch decks optimized for YC and seed-stage fundraising. Use when creating pitch decks, investor presentations, fundraising materials, or when user mentions "pitch deck", "YC deck", "investor deck", "fundraise", or "seed round". Covers slide structure, content strategy, storytelling arc, and what investors actually look for. Works with any output format (HTML slides, PPTX, PDF).
yc-video
by floomhqPlan, audit, and score startup launch videos using YC-grade production standards. Use when: creating product launch teasers, scoring video quality for social distribution, planning narrative structure for LinkedIn/X autoplay, reviewing cold-audience effectiveness. Triggers: "launch video", "yc video", "score the video", "plan the teaser", "audit launch video", "cold audience test", "video narrative", "teaser structure".
negotiator
by floomhqNegotiation analyst for high-stakes deals: co-founder exits, business separations, contract terms, salary negotiations, investor terms. Use when the user asks to: (1) analyze a counterparty's position or message, (2) score/review a draft message before sending, (3) draft a counter-offer, (4) structure BATNA/ZOPA analysis, (5) track concessions across rounds, (6) detect traps or information leakage in proposed terms, (7) prepare for a negotiation call or meeting. Triggers: "score this message", "analyze their position", "what's my BATNA", "review before I send", "draft a counter", "is this a trap", "negotiate", "negotiation", "counter-offer", "deal terms".
blast-radius
by floomhqMap the full impact of a proposed change before making it. Use before refactors, API changes, database migrations, or any modification to shared code. Triggers: "blast radius", "what will break", "impact analysis", "what depends on this", "is it safe to change this", or before any significant refactor.
health
by floomhq10-second audit of dev server system state. Use when: "health check", "system status", "check system", "what's running", "orphans", "disk space", "check containers", or any question about the current state of the server.
cost
by floomhqEstimate and analyze costs for AI/cloud services, infrastructure, or feature implementations. Use when user asks "how much will this cost", "cost estimate", "cost analysis", "what's the pricing", "budget for this", or wants to understand the financial impact of a technical decision. Covers LLM API costs, cloud hosting, and SaaS tools.
food-finder
by floomhqFind restaurants and food delivery options near a location. Searches Swiggy for restaurants, cross-references Google Maps ratings, and recommends the best options. Learns food preferences over time.
cold-outreach
by floomhqWrite effective cold outreach messages for sales, partnerships, networking, or job outreach. Use when user asks to "write a cold email", "draft an outreach message", "reach out to X", "send a pitch to", "write a connection request", or needs to contact someone they don't know professionally. Produces concise, personalized, non-spammy outreach.
internal-comms
by floomhqA set of resources to help write all kinds of internal communications, using the formats that your company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
morning
by floomhqDaily briefing: unified status check across all systems. Unread email counts, open GitHub issues, active workplans, todos, system health. Use when user says "morning", "daily briefing", "status", "what's going on", "catch me up", "what did I miss", or starts a new day.
vault
by floomhqContext vault operations: read/update todos, add log entries, search vault content, read strategy/project docs, update project files. Use when user says "vault", "add todo", "update todos", "log entry", "search vault", "check todos", "context vault", "add to log", or any operation on a personal context vault.
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.