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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speedwave-code-review
by speednet-softwareComprehensive code review using specialized skills
speedwave-implement-plan
by speednet-softwareImplement a Speedwave plan exactly as specified. Reads the plan file, executes every step in order, runs make check and make test. Use this to implement any approved plan.
speedwave-plan-loop
by speednet-softwareAutomated plan → review → implement → verify → code-review loop in an isolated git worktree. Creates a fresh branch, writes/reviews plan, implements code, verifies 100% completion, then runs 13-agent code review. All agents run in isolated headless contexts (claude -p).
speedwave-review-deps
by speednet-softwareCritical security review of Dependabot package update PRs. Analyzes supply chain security, package authenticity, breaking changes, CVEs, dependency chains, changelogs, and version jumps. Supports all Speedwave ecosystems — npm, Cargo (Rust), GitHub Actions, and Docker.
speedwave-review-plan
by speednet-softwareHostile review of a Speedwave implementation plan. Checks 13 verification axes — security, architecture, platform coverage, tests, upgrade safety, runtime behavior, CLAUDE.md compliance, and more. Use this skill to verify any implementation plan before starting work.
speedwave-verify-plan
by speednet-softwareVerify that a Speedwave implementation plan was 100% implemented. Compares plan with code, runs make check and make test. Reports gaps. Use this after implementing a plan to verify completeness.
speedwave-product-showcase
by speednet-softwareBuild a self-contained, dependency-free animated "live product" demo for a landing page — a step carousel that faithfully recreates the real app UI (chat, settings, integrations, logs…) using only HTML + scoped CSS + one inline rAF script. Use when asked to add an animated product walkthrough / hero demo / "show the app in motion" to a marketing site.
speedwave-site-audit
by speednet-softwareAudit a website against a bundled checklist of best-practice rules (Foundations, SEO, Accessibility, Security, Performance, Privacy, Resilience, i18n, Well-Known URIs, Agent Readiness) and report which pass, fail, or are skipped — with evidence. Use when the user asks to "audit a site", "check if a website is built correctly", "review accessibility / SEO / security of a page", or "run the website checklist". Works on one URL or every URL from the sitemap (pairs with speedwave-sitemap). Always runs a final verifier pass. Do not use for: producing a sitemap (use speedwave-sitemap), or fixing the issues — this skill only reports.
speedwave-sitemap
by speednet-softwareProvide the URL inventory of a website as structured JSON for other skills to consume. First tries to extract an existing sitemap (robots.txt + common sitemap.xml paths, expanding sitemap indexes); if none is found, crawls the site via the Playwright integration (same-domain, bounded). Use whenever another skill or the user needs "the list of pages", "the sitemap", "all URLs of a site", or a page inventory to audit. Returns JSON only — no SEO analysis, no reports, no recommendations. Do not use for: auditing the pages, generating a sitemap from templates, or anything beyond producing the URL list.
atlassian
by speednet-softwareUse Atlassian integration to query and manage Jira Cloud and Confluence Cloud — Jira issues, comments, transitions, assignments, agile boards/sprints, and Confluence pages, spaces, labels, attachments. Use whenever the user asks about Jira tickets/issues/sprints or Confluence pages/spaces — searching with JQL/CQL, getting or creating issues, transitioning workflows, finding or updating pages, etc. Use even when you think you know the answer — issue and page state are dynamic; only the live API reflects current assignments, transitions, comments, or page revisions. Do not use for: self-hosted Jira/Confluence Server or Data Center (Cloud only), generic project management theory, or anything outside the configured Atlassian site.
office
by speednet-softwareUse Office integration to read, create, edit, and convert Word/Excel/PowerPoint/PDF documents, and to render charts. Use whenever the user asks about working with .docx, .xlsx, .pptx, or .pdf files — reading content, creating reports or invoices, editing existing documents, converting between formats, merging or splitting PDFs, or rendering charts. Use even when you think you know the answer — document libraries change between framework versions; only the live tool reflects current Office/PDF format support and chart rendering capabilities. Do not use for: plain text files (read them directly), generic Markdown conversion that does not need PDF output (use built-in tools), or installing document-processing libraries — they are already behind office__* tools.
speedwave-code-review
by speednet-softwareComprehensive code review using specialized skills
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.