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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dotnet-workload-info
by RedthDiscover .NET SDK versions, workload sets, manifest versions, and workload dependencies (Xcode, JDK, Android SDK) from live NuGet APIs. Use when asked about: .NET SDK requirements/versions, workload set versions, workload manifest versions, Xcode version requirements, JDK version requirements, Android SDK packages, or MAUI NuGet package versions. Triggers on questions like "What Xcode is required for .NET 10?" or "What's the latest workload set?"
maui-devflow-onboard
by RedthAdd MAUI DevFlow to a .NET MAUI project with agent package references, MauiProgram.cs registration, Blazor WebView support, GTK variants, Central Package Management guidance, and verification commands. USE FOR: first-time DevFlow setup, reviewing what files to edit, choosing DevFlow packages, or continuing after `maui devflow init` installs skills. DO NOT USE FOR: troubleshooting an already-integrated app that cannot connect, iterative app debugging, UI inspection, or generic MAUI build failures (use maui-devflow-debug). INVOKES: maui devflow CLI and dotnet CLI.
maui-devflow-debug
by RedthRun build, deploy, inspect, and fix loops for .NET MAUI apps that already have MAUI DevFlow integrated. USE FOR: launching MAUI apps, selecting devices or emulators, waiting for or recovering agent connections, broker/port/adb connectivity issues, visual tree inspection, screenshots, UI interaction, Blazor WebView CDP debugging, reading DevFlow logs, and iterative app debugging. DO NOT USE FOR: first-time DevFlow package setup (use maui-devflow-onboard), or generic desktop automation unrelated to MAUI. INVOKES: maui devflow CLI, dotnet CLI, Android adb/android tools, and Apple simctl tools.
release-notes
by RedthGenerate mountaineering-themed release notes for MAUI Sherpa. Use when: (1) Creating release notes for a new version, (2) Drafting changelog entries, (3) Summarizing changes since the last release, (4) Writing version announcements. Collects all commits/PRs since the last published release tag, categorizes changes, and writes fun adventure-themed release notes.
maui-doctor
by RedthDiagnoses and fixes .NET MAUI development environment issues. Validates .NET SDK, workloads, Java JDK, Android SDK, Xcode, and Windows SDK. All version requirements discovered dynamically from NuGet WorkloadDependencies.json - never hardcoded. Use when: setting up MAUI development, build errors mentioning SDK/workload/JDK/Android, "Android SDK not found", "Java version" errors, "Xcode not found", environment verification after updates, or any MAUI toolchain issues. Works on macOS, Windows, and Linux.
maui-profiling
by RedthBuild lightweight profiling context for a running .NET MAUI app using local MAUI DevFlow status, network, and visual-tree summaries instead of uploading raw trace artifacts. Use when investigating slow screens, performance regressions, excessive network chatter, or deciding whether deeper trace capture is needed.
maui-ai-debugging
by RedthEnd-to-end workflow for building, deploying, inspecting, and debugging .NET MAUI and MAUI Blazor Hybrid apps as an AI agent. Use when: (1) Building or running a MAUI app on iOS simulator, Android emulator, Mac Catalyst, macOS (AppKit), or Linux/GTK, (2) Inspecting or interacting with a running app's UI (visual tree, tapping, filling text, screenshots, property queries), (3) Debugging Blazor WebView content via CDP, (4) Managing simulators or emulators, (5) Setting up MauiDevFlow in a MAUI project, (6) Completing a build-deploy-inspect-fix feedback loop, (7) Handling permission dialogs and system alerts, (8) Managing multiple simultaneous apps via the broker daemon. Covers: maui-devflow CLI, androidsdk.tool, appledev.tools, adb, xcrun simctl, xdotool, and dotnet build/run for all MAUI target platforms including macOS (AppKit) and Linux/GTK.
android-cli
by RedthReference for the AndroidSdk.Tool CLI (`android` command) - a .NET global tool for Android SDK automation. Use when: (1) Managing Android SDK packages (list, install, uninstall, download), (2) Working with AVDs/emulators (create, delete, start, list), (3) Interacting with connected devices via ADB (list devices, get properties, install/uninstall APKs), (4) Locating or configuring JDK for Android development, (5) Setting up CI/CD for Android or .NET MAUI development, (6) Reading APK manifest information, (7) Accepting SDK licenses non-interactively.
maui-ai-debugging
by RedthEnd-to-end workflow for building, deploying, inspecting, and debugging .NET MAUI and MAUI Blazor Hybrid apps as an AI agent. Use when: (1) Building or running a MAUI app on iOS simulator, Android emulator, Mac Catalyst, macOS (AppKit), or Linux/GTK, (2) Inspecting or interacting with a running app's UI (visual tree, tapping, filling text, screenshots, property queries), (3) Debugging Blazor WebView content via CDP, (4) Managing simulators or emulators, (5) Setting up MauiDevFlow in a MAUI project, (6) Completing a build-deploy-inspect-fix feedback loop, (7) Handling permission dialogs and system alerts, (8) Managing multiple simultaneous apps via the broker daemon. Covers: maui-devflow CLI, androidsdk.tool, appledev.tools, adb, xcrun simctl, xdotool, and dotnet build/run for all MAUI target platforms including macOS (AppKit) and Linux/GTK.
appledev-cli
by RedthReference for the AppleDev.Tools CLI (`apple` command) - a .NET global tool for Apple development automation. Use when: (1) Managing iOS/macOS simulators (list, create, boot, screenshot, install apps), (2) Working with App Store Connect (certificates, profiles, bundle IDs, devices), (3) Setting up CI/CD for Apple development (provision, deprovision, keychain management), (4) Uploading apps to TestFlight/App Store Connect, (5) Parsing or managing provisioning profiles locally. Covers all commands, options, and common workflows.
app-store-connect-api
by RedthGuide for implementing Apple App Store Connect API integrations. Use when: (1) Building API clients to manage certificates, provisioning profiles, bundle IDs, or devices, (2) Implementing JWT authentication for App Store Connect, (3) Understanding API request/response patterns and error handling, (4) Working with TestFlight builds, beta groups, or app submissions, (5) Discovering available endpoints, schemas, or capabilities via the OpenAPI spec. Includes scripts for fetching and analyzing Apple's official OpenAPI specification.
android-slim-bindings
by RedthCreate and update slim/native platform interop bindings for Android in .NET MAUI and .NET for Android projects. Guides through creating Java/Kotlin wrappers, configuring Gradle projects, resolving Maven dependencies, generating C# bindings, and integrating native Android libraries using the Native Library Interop (NLI) approach. Use when asked about Android bindings, AAR/JAR integration, Kotlin interop, Maven dependencies, or bridging native Android SDKs to .NET.
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.