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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sgds-components
by GovTechSGComplete reference for all SGDS web components including installation and framework integration. Use when users ask about any <sgds-*> component — accordion, alert, badge, breadcrumb, button, card, checkbox, close-button, combo-box, datepicker, description-list, divider, drawer, dropdown, file-upload, footer, icon, icon-button, icon-card, icon-list, image-card, input, link, mainnav, masthead, modal, overflow-menu, pagination, progress-bar, quantity-toggle, radio, select, sidebar, sidenav, skeleton, spinner, stepper, subnav, switch, system-banner, tab, table, table-of-contents, textarea, thumbnail-card, toast, or tooltip. Also covers React 19+, React ≤18, Vue, Angular, and Next.js integration.
sgds-pattern-block-templates
by GovTechSGReusable UI blocks built with SGDS components and utilities that can be mixed and matched inside any page template. Use this skill whenever a user asks about app layout, application shell, page structure, sticky header, masthead placement, mainnav placement, footer placement, sgds-container, sgds-container-sidebar, simple app layout, sidebar app layout, dashboard layout, filter panel, sidebar filter, category filter, checkbox filter, or any self-contained UI section — even if they don't name it a 'block'. These are drop-in sections and shell structures, not full pages. Compose them with sgds-pattern-page-templates to build complete pages.
sgds-forms
by GovTechSGUse this skill when users ask about form validation in SGDS, hasFeedback prop, constraint validation, custom validation, noValidate, setInvalid, form submission, or reading FormData from SGDS form components.
sgds-pattern-page-templates
by GovTechSGComplete ready-to-use page templates built with SGDS components and utilities. Use this skill whenever a user asks to build a page, dashboard, login page, form page, settings page, list page, or any full-page UI — even if they don't say 'template'. Apply when starting a new app, building internal tools, dashboards, admin portals, authentication flows, or data table views.
sgds-patterns
by GovTechSGComplete catalog of reusable typography and text patterns for SGDS applications. Use this skill whenever the user needs to style text, create typography hierarchies, format headings, style lists, or needs consistent text layouts. Also use when the user mentions headings, page titles, body text, lists, paragraphs, display text, content headers, or any typography styling — even if they just say "make a nice heading" or "style my text". Current patterns include headings (H1-H6), display typography (large prominent text), content headers, lists (ordered and unordered), and paragraphs. Each pattern links directly to the raw HTML template for implementation.
sgds-forms
by GovTechSGUse this skill when users ask about form validation in SGDS, hasFeedback prop, constraint validation, custom validation, noValidate, setInvalid, form submission, or reading FormData from SGDS form components.
sgds-writing
by GovTechSGWriting style guide for the Singapore Government Design System (SGDS). Use when writing or reviewing UI copy, documentation, labels, error messages, tooltips, or any content that accompanies SGDS components. Covers tone, grammar, spelling, casing, punctuation, and plain language principles.
sgds-workflow
by GovTechSGALWAYS use this skill when building UI with @govtechsg/sgds-web-component or when a user mentions SGDS or Singapore Design System — even if they don't explicitly ask for help. This is the mandatory entry point for all SGDS development: it guides you to the right skill for setup, components, utilities, forms, theming, page layouts, block templates, and data visualisation. Read this before writing any SGDS application code.
sgds-utilities
by GovTechSGComplete reference for all SGDS utility classes with the sgds: prefix. Use when users ask about setup, background-color, text-color, border-color, border-width, border-radius, typography, spacing, grid, dimension, opacity, color-semantics, or any sgds: Tailwind utility class. Also covers Tailwind v4 imports, theme switching, and framework integration for utilities.
sgds-layouts
by GovTechSGComplete catalog of page layout patterns for SGDS applications. Use this skill whenever a user asks about page layouts, content arrangement, aside panels, split views, sidebar layouts, breadcrumb layouts, or viewport-height layouts — even if they just say 'how should I lay out my page' or 'I need a two-column layout'. Covers Full Width layouts (public-facing pages with sgds-container) and With Sidebar layouts (dashboards/internal tools with sgds-container-sidebar). Trigger on: layout, aside, split view, sidebar layout, two-column, three-column, content arrangement, page structure with aside.
sgds-getting-started
by GovTechSGStarting point for any new application built with the SGDS web component library. Apply this skill first whenever a user is bootstrapping a new SGDS project, setting up a new app, or asking where to begin with SGDS. Covers font setup, foundation CSS, utilities, components, and app layout in the correct order.
sgds-typography
by GovTechSGTeaches AI agents how to help developers use SGDS typography utilities (font-size, font-weight, line-height, letter-spacing) with the sgds: prefix. Use when users ask about text sizing, font weights, line spacing, or typography styling in SGDS designs.
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.