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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syncfusion-maui-markdown-viewer
by syncfusionImplements Syncfusion .NET MAUI MarkdownViewer (SfMarkdownViewer) for rendering Markdown content with full formatting support. Use when displaying markdown files, documentation, release notes, or help content in MAUI apps. Covers markdown rendering, appearance customization, CSS styling, and content sources (string/file/URL/resource).
syncfusion-maui-rich-text-editor
by syncfusionImplements Syncfusion .NET MAUI Rich Text Editor (SfRichTextEditor) for WYSIWYG text editing with formatting, images, tables, and hyperlinks. Use when building rich text editors, document editors, email composers, blog post editors, or messaging apps with formatting. Covers text styling, toolbar formatting, images, tables, hyperlinks, and HTML output.
syncfusion-maui-toolkit-spark-charts
by syncfusionUse this skill ALWAYS when the user needs to implement Syncfusion MAUI Spark Charts. Triggers on spark chart, sparkline, micro-chart, trend visualization, data visualization in small spaces, chart types (line, area, column, win/loss), markers, range bands, axis configuration, data point styling. Also use immediately for chart customization, performance optimization, marker configuration, data binding patterns, accessibility needs.
syncfusion-wpf-markdown-viewer
by syncfusionImplement Syncfusion WPF SfMarkdownViewer for rendering and displaying Markdown content in WPF applications. Use this when rendering Markdown text, loading Markdown from strings or application-controlled local files, handling hyperlink clicks with URL validation, or displaying Mermaid diagrams with input sanitization. Covers the Source property, HyperlinkClicked events with allowlist-based navigation, and MermaidBlockTemplate customization with input validation. Always validate and sanitize Markdown content before assigning to Source, especially when the content originates from remote or user-supplied sources.
syncfusion-wpf-excel-like-grid
by syncfusionComplete guide for implementing the Syncfusion WPF GridControl — an Excel-like, cell-based virtual grid for Windows Presentation Foundation applications. Use this when working with WPF GridControl or Syncfusion grid components, including cell types, virtual grids, formula cells, clipboard operations, and Excel import/export. Covers QueryCellInfo events, GridStyleInfo, GridModel, row/column management, and appearance customization for desktop applications.
syncfusion-react-rich-text-editor
by syncfusionImplements the Syncfusion React Rich Text Editor (RichTextEditorComponent) from ej2-react-richtexteditor, supporting HTML (WYSIWYG) and Markdown editing. Use this skill for toolbar configuration, image/video/audio insertion, paste cleanup, AI assistant integration, emoji picker, slash menu, mentions, import/export Word/PDF, form validation, and source code view in React applications.
syncfusion-blazor-appbar
by syncfusionGuide for implementing Syncfusion Blazor AppBar component (SfAppBar) in Blazor applications. Use this when implementing navigation bars, app bars, or header toolbars with action controls. This skill covers AppBar configuration, size modes (regular, prominent, dense), color modes, positioning (top, bottom, sticky), menu integration, and responsive design patterns.
syncfusion-react-appbar
by syncfusionCreate responsive navigation headers with AppBar component. Build top, bottom, or sticky app bars with buttons, menus, icons, and sidebars. Use when building navigation elements, toolbars, action bars, or responsive headers with dynamic content layout. Includes color modes (Light, Dark, Primary, Inherit), size modes (Regular, Prominent, Dense), spacing, separators, and full accessibility support.
syncfusion-blazor-dataform
by syncfusionImplement Syncfusion Blazor DataForm component for creating dynamic, data-bound forms with validation and field management. Use this when building forms in Blazor with Syncfusion components, handling form validation, binding models, creating editable fields, or managing form events. This skill covers form layout customization, data binding, FormItems configuration, FormAutoGenerateItems setup, templates, events, and data annotation validation.
syncfusion-blazor-kanban
by syncfusionImplement Syncfusion Blazor Kanban board component (SfKanban) for card-based workflow management. Use this when building Kanban boards, task management UIs with swimlanes, or drag-and-drop column workflows in Blazor applications. This skill covers data binding, column and card configuration, swimlane organization, drag-and-drop interactions, dialog editing, sorting, WIP validation, accessibility, localization, and responsive mode.
syncfusion-blazor-diagram
by syncfusionBuild and troubleshoot Syncfusion Blazor diagrams using SfDiagramComponent. Trigger for flowcharts, org charts, mind maps, BPMN, UML sequence, swimlanes, symbol palettes, nodes/connectors/ports/annotations, layouts, data binding, serialization (load/save), export/print, and collaborative editing questions. Provide Blazor + Syncfusion setup steps, configuration patterns, and sample snippets.
syncfusion-winforms-record-navigation-control
by syncfusionGuide for implementing Syncfusion GridRecordNavigationControl in Windows Forms applications for record navigation functionality. Use this skill when implementing Microsoft Access-like navigation bars, first/last/previous/next navigation for grids, or record browsing in Windows Forms. Covers integration with GridControl, GridDataBoundGrid, and GridGroupingControl.
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.