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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health-check
by codewithmukeshMulti-dimensional health assessment for .NET projects with letter grades (A-F) using Roslyn MCP tools. Evaluates 8 dimensions: build health, code quality, architecture, test coverage, dead code, API surface, security posture, and documentation. Produces a structured report card with actionable recommendations. Load this skill when: "health check", "how healthy is this", "project health", "code quality report", "grade this project", "assess codebase", "quality audit", "technical assessment", "codebase review", "report card".
scalar
by codewithmukeshScalar API documentation UI for .NET 10 applications. Covers setup, themes, authentication prefill, multiple documents, layout options, and security. A modern replacement for Swagger UI. Load this skill when setting up API documentation UI, or when the user mentions "Scalar", "MapScalarApiReference", "API reference", "Swagger UI replacement", "API documentation UI", "Scalar theme", "interactive API docs", or "Try It".
minimal-api
by codewithmukesh.NET 10 minimal APIs — the default for building HTTP endpoints. Covers MapGroup, endpoint filters, TypedResults, OpenAPI metadata, parameter binding, and route conventions. Load this skill when creating API endpoints, configuring routing, setting up OpenAPI documentation, or when the user mentions "endpoint", "MapGet", "MapPost", "MapGroup", "TypedResults", "route", "minimal API", "OpenAPI", "swagger", "rate limiting", or "output caching".
openapi
by codewithmukeshBuilt-in OpenAPI support for .NET 10 applications. Covers document generation, transformers, TypedResults metadata, security schemes, XML comments, build-time generation, and multiple document support. No Swashbuckle needed. Load this skill when setting up API documentation, customizing OpenAPI output, adding security schemes to docs, or when the user mentions "OpenAPI", "AddOpenApi", "MapOpenApi", "document transformer", "operation transformer", "schema transformer", "OpenAPI 3.1", "API documentation", "Swashbuckle replacement", "Produces", "WithSummary", "WithDescription", "ProblemDetails", "Kiota", or "client generation".
caching
by codewithmukeshCaching strategies for .NET 10 applications. Covers HybridCache (the default), output caching, response caching, and distributed cache patterns. Load this skill when implementing caching, optimizing read performance, reducing database load, or when the user mentions "cache", "HybridCache", "Redis", "output cache", "response cache", "distributed cache", "IMemoryCache", "cache invalidation", "stampede protection", or "cache-aside".
api-versioning
by codewithmukeshAPI versioning strategies for ASP.NET Core. Covers Asp.Versioning library, URL segment, header, and query string strategies, version deprecation, and OpenAPI integration. Load this skill when adding versioning to an API, evolving an API with breaking changes, or when the user mentions "API version", "versioning", "v1/v2", "Asp.Versioning", "deprecation", "breaking change", or "backward compatibility".
architecture-advisor
by codewithmukeshArchitecture selection advisor for .NET applications. Asks structured questions about domain complexity, team size, system lifetime, compliance, and integration needs, then recommends the best-fit architecture: Vertical Slice, Clean Architecture, DDD + Clean Architecture, or Modular Monolith. Load this skill when the user asks "which architecture", "choose architecture", "set up project", "new project", "architecture decision", "restructure", or "how should I organize". Always load BEFORE any architecture-specific skill.
aspire
by codewithmukesh.NET Aspire for cloud-native orchestration. Covers AppHost configuration, service defaults, resource configuration, service discovery, and the Aspire dashboard. Load this skill when setting up local development orchestration, service discovery, or Aspire-managed infrastructure, or when the user mentions "Aspire", "AppHost", "service defaults", "service discovery", "orchestration", "Aspire dashboard", "AddProject", "WithReference", or "cloud-native .NET".
authentication
by codewithmukeshAuthentication and authorization for ASP.NET Core. Covers JWT bearer tokens, OpenID Connect, ASP.NET Identity, authorization policies, role and claim-based authorization, and API key authentication. Load this skill when implementing login, protecting endpoints, designing authorization rules, or when the user mentions "auth", "JWT", "bearer token", "OIDC", "OpenID Connect", "Identity", "claims", "roles", "authorize", "RequireAuthorization", "API key", or "cookie auth".
ci-cd
by codewithmukeshCI/CD pipelines for .NET applications. Covers GitHub Actions and Azure DevOps YAML pipelines with build, test, publish, and deploy stages. Load this skill when setting up continuous integration, automated testing, deployment workflows, or when the user mentions "CI/CD", "pipeline", "GitHub Actions", "Azure DevOps", "workflow", "deploy", "build pipeline", "publish", "NuGet push", "release", or "continuous integration".
clean-architecture
by codewithmukeshClean Architecture for .NET applications. Covers the 4-project layout (Domain, Application, Infrastructure, Api), dependency inversion, use case handlers, domain entities with behavior, and infrastructure as a plugin. Load this skill when building a project with Clean Architecture, discussing layered architecture, dependency inversion, use cases, or when the architecture-advisor recommends Clean Architecture.
configuration
by codewithmukeshConfiguration patterns for .NET 10 applications. Covers the Options pattern, IOptionsSnapshot vs IOptions, secrets management, and environment-based configuration. Load this skill when setting up application configuration, managing secrets, binding configuration sections, or when the user mentions "configuration", "appsettings", "Options pattern", "IOptions", "IOptionsSnapshot", "secrets", "user secrets", "environment variables", "connection string", or "config binding".
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.