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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translate-carbon-copy
by lc0rpTranslate documents (especially PDFs) from one language to another while preserving the exact visual layout, images, logos, signatures, stamps, handwritten names/dates, headers, footers, and formatting of the original. Produces a faithful visual reproduction where only the text content is translated. Use this skill whenever the user asks to translate a document, PDF, scanned file, or contract and wants the translation to look like the original — not a plain-text rewrite. Also use when the user mentions "translate in place", "translate keeping formatting", "translate this PDF", "translate preserving layout", or wants a translated version of any document that contains images, signatures, logos, tables, or other visual elements. Trigger even if the user just says "translate this file" and the file is a PDF or scanned document, since layout-preserving translation is almost always what people want for formal documents.
onafriq-slides
by lc0rpCreate, extend, or edit Onafriq presentation slides while preserving the exact Onafriq house style. Use this skill whenever the user asks for Onafriq slides, a deck, presentation updates, board slides, commercial slides, internal presentation polish, or any PowerPoint work that should look like official Onafriq material. Always begin from the local Onafriq template, duplicate an existing template slide before editing, keep the built-in footer/logo/page-number system, and apply the brand-guide rules in `references/onafriq-slide-brand-rules.md`.
one-thing
by lc0rpFind the single highest-leverage action Luke should take right now for Onafriq. Use whenever Luke asks for "one thing", "highest leverage", "what should I do now", "big hairy audacious action", "big hairy odacious action", "biggest bang for the buck", "turn the dial", "cut through the noise", or asks for a decisive intervention using Slack, work mail, Granola, Obsidian projects, OKRs, weekly CEO briefs, current company context, role context, and web/industry signals.
babel-copy-qa
by lc0rpReview one or more babel-copy or translate-in-place `comparison-report.json` files and produce deterministic `qa-report.json` outputs with page-level pass/fail verdicts, checklist-derived scores, hotspot coverage, challenger review outcomes, and exact remediation notes. Use this whenever the user asks to QA translated PDF comparison renders, rate pages, score a translation output, decide sign-off readiness, or turn side-by-side comparison images into a structured report for downstream optimization.
analyze-page
by lc0rpGenerate page-level visual diagnostics for frozen On.Translate PDF translations. Use when the user says analyze_page with page numbers or all, or asks to inspect a translated page using existing frozen translation artifacts without retranslating.
babel-copy
by lc0rpBuild a translated PDF that closely matches the source document by separating extraction, translation, layout rebuilding, asset preservation, and PDF export into distinct steps. Use for legal, compliance, contract, policy, and form-heavy PDFs where a clean translated deliverable should approximate a professionally rebuilt document rather than a raw in-place overlay.
translate-in-place
by lc0rpTranslate PDFs or scanned document images into a new PDF that reproduces the original layout as closely as possible while preserving headers, footers, logos, tables, images, handwritten names, dates, stamps, and signatures in place. Use when the user wants a translated document that still looks like the original rather than a separate summary or side-by-side translation.
bcc
by lc0rpBuild a translated PDF that closely matches the source document by separating extraction, translation, layout rebuilding, asset preservation, and PDF export into distinct steps. Use for legal, compliance, contract, policy, and form-heavy PDFs where a clean translated deliverable should approximate a professionally rebuilt document rather than a raw in-place overlay.
cli-365-mail
by lc0rpCheck Outlook/OWA mail via cli-365. Use when asked to search, triage, or summarize mail, apply To/CC/since filters, or run urgent mail checks
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.