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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kb-builder
by tinyfish-ioBuild an Obsidian-compatible knowledge base from public web sources using the TinyFish CLI. Use this skill when a user wants a builder-grade markdown knowledge base on a technical topic, asks for a structured research vault, or wants a topic compiled from live public sources into interlinked markdown files. Supports two input modes: topic only, or topic plus starter URLs. Supports both first-build and update workflows. Always generates index.md, sources.md, audit.md, and manifest.json. Creates additional files only when the evidence supports them. The output must synthesize the topic into a usable mental model, not just summarize pages. Uses explicit tinyfish agent run commands and public web sources only. Optional `--trace` mode saves raw TinyFish outputs under `_trace/` for debugging.
freelance-gig-finder
by tinyfish-ioFind fresh freelance and contract opportunities across multiple platforms for any skill set. Use this skill when a user asks "find me freelance React jobs", "Upwork gigs for Python developers", "freelance work posted this week", "contract jobs for designers", "find me remote freelance opportunities for [skill]", "I'm looking for freelance work", "what freelance gigs are available for [skill]", or any request to find paid freelance or contract work online.
hackathon-finder
by tinyfish-ioFind hackathons tailored to your tech profile and location by searching Devpost, Luma, Partiful, MLH, and Eventbrite. Use this skill when a user asks "find me a hackathon", "are there any hackathons near me", "what hackathons are coming up", "I want to compete in a hackathon", "find hackathons I could win", "upcoming hackathons in [city]", "online hackathons for [skill/tech]", or any request to discover hackathon opportunities.
oss-bounty-finder
by tinyfish-ioFind paid open-source work, OSS bounties, open source grants, or ways to get paid contributing to open source. Use when someone asks any of the following — "find me paid open source work", "show me OSS bounties for Rust", "how do I get paid for open source", "find GitHub bounties", "are there any open source grants I can apply to", "I want to earn money contributing to open source", "find bounties for Python developers", "show me open source funding opportunities", "what repos are paying for contributions", "find me issues with bounties", "show me open source stipends", "I want to contribute to open source and get paid", "find developer grants", "show me NLNet grants", "GSoC alternatives", "paid open source issues". Accepts a stack (Rust, Python, Go, TypeScript, etc.) and optional keywords. Runs a 3-tier parallel TinyFish agent system; Tier 1 scrapes Algora and IssueHunt, Tier 2 fans out across awesome-list repos checking for bounty-labelled issues, Tier 3 scrapes NLNet, Sovereign Tech Fund, Mozilla MOSS, LFX
tenders-finder
by tinyfish-ioFind open Singapore government tenders for any sector in real time using parallel TinyFish agents scraping multiple government tender portals simultaneously. Use this skill whenever a user wants to find government tenders, asks "find tenders for IT in Singapore", "what government contracts are open for construction", "Singapore tenders closing soon", "GeBIZ tenders for healthcare", or any variation of searching for government procurement opportunities in Singapore. Supported sectors: IT / Software, Construction, Healthcare, Consulting, Logistics, Education. Scrapes GeBIZ, Tenders On Time, Bid Detail, Tenders Info, and Global Tenders simultaneously — returning only open tenders with upcoming deadlines.
npm-package-comparator
by tinyfish-ioCompare two or more npm packages side by side using live data — downloads, bundle size, GitHub stars, last update, known vulnerabilities, and community sentiment. Use this skill when a user asks "zustand vs jotai vs redux", "compare react-query and swr", "which state management library should I use", "what's the difference between X and Y", "is X better than Y for my use case", "help me choose between these packages", or any request to compare npm packages or decide between JavaScript libraries.
use-tinyfish
by tinyfish-ioUse TinyFish for web search, fetching URLs, reading pages, current information, source-backed answers, research, docs, pricing/product pages, extraction, scraping, and browser automation. Use whenever the user asks to search, find, look up, research, compare, get information from the web, summarize a URL, fetch page content, or automate a website.
use-tinyfish
by tinyfish-ioThe complete web toolkit for your agent. Search the web and get answers in milliseconds. Fetch any URL and get clean markdown back. Send a browser agent to navigate sites, fill forms, and extract structured data. Spin up a headless browser for full programmatic control. Use when you need to search the web, extract/scrape data from websites, handle bot-protected sites, or automate browser tasks using natural language.
job-market-intel
by tinyfish-ioGet a live job market snapshot for any role and tech stack by deploying parallel TinyFish agents across LinkedIn, Indeed, and Glassdoor. Use when a developer wants real salary data, in-demand skills, top hiring companies, and remote ratios from actual job postings published this week — not survey averages or historical data. Triggers on phrases like "what is the market paying for", "salary range for", "is my salary competitive", "what should I ask for", "what skills do I need for", "who is hiring for", "how in-demand is", "before I negotiate", "job market for", "what does a [role] make", or any request to research compensation or demand for a specific role and tech stack before a job search or negotiation.
oss-alternatives
by tinyfish-ioFind actively maintained open source alternatives to any paid SaaS tool or commercial API. Use this skill whenever a user mentions wanting to replace, swap out, self-host, or find a free/open source version of a paid tool — including but not limited to tools like Datadog, Algolia, Twilio, Stripe, Auth0, Segment, Mixpanel, Intercom, PagerDuty, LaunchDarkly, SendGrid, Cloudinary, or any other commercial developer tool or API. Also trigger when the user says things like "is there an open source version of X", "I don't want to pay for X", "self-host alternative to X", or "what can I use instead of X for free". Runs parallel TinyFish agents to search GitHub and developer communities, then checks the real health of each candidate — last release, contributor count, stars, Docker support, and feature parity — and returns a ranked comparison with a plain English gain/loss summary.
interview-prep
by tinyfish-ioGenerate a structured interview preparation guide for any company by scraping real candidate experiences from Glassdoor, Blind, and Reddit in real time using parallel TinyFish agents. Use this skill whenever a user mentions preparing for an interview at a specific company, wants to know what a company's interview process is like, asks "what questions does X ask", "how hard is X's interview", "what should I prepare for X", "X interview experience", or any variation of wanting to know what actually happens in interviews at a named company. Returns a structured prep guide: most frequent topics, real questions that came up, actual difficulty level, what candidates wish they had studied, and role-specific patterns.
leetcode-coach
by tinyfish-ioFind and set up coding practice problems tailored to your weak areas, then create local files so you can solve them right away. Use this skill when a user wants to practice coding, asks for a LeetCode problem, says "give me a coding challenge", "I want to practice DSA", "help me prep for coding interviews", "find me a problem to solve", "I'm weak at dynamic programming", "quiz me on algorithms", or any request to practice coding with a specific language or topic focus.
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.