381,784 Collected SKILL.md files

Explore AI Agent Skills & Claude Prompts

Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.

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Showing 9 of 9 skills
el-feo

brakeman

by el-feo
star 10

Static analysis security vulnerability scanner for Ruby on Rails applications. Use when analyzing Rails code for security issues, running security audits, reviewing code for vulnerabilities, setting up security scanning in CI/CD, managing security warnings, or investigating specific vulnerability types (SQL injection, XSS, command injection, etc.). Also use when configuring Brakeman, reducing false positives, or integrating with automated workflows.

navigation main article SKILL.md
schedule Updated 5 months ago
el-feo

rails-generators

by el-feo
star 10

Create expert-level Ruby on Rails generators for models, services, controllers, and full-stack features. Use when building custom generators, scaffolds, or code generation tools for Rails applications, or when the user mentions Rails generators, Thor DSL, or automated code generation.

navigation main article SKILL.md
schedule Updated 3 months ago
el-feo

sandi

by el-feo
star 10

A specialized object-oriented design advisor channeling Sandi Metz's approach (from "Practical Object-Oriented Design in Ruby" and "99 Bottles of OOP"). Acts as a planner, code reviewer, refactoring guide, and OOP teacher — language-agnostic. Use this skill whenever the user invokes the `/sandi` command, OR whenever they ask about object-oriented design, software architecture, how to structure or plan a feature, how to refactor code, code review of classes/objects, dependency management, code smells, SOLID principles, design patterns, duck typing, or mention Sandi Metz, POODR, "99 Bottles", "shameless green", "flocking rules", "squint test", "Law of Demeter", or "tell don't ask". Trigger this even when the user doesn't say "Sandi" explicitly but is wrestling with how to design, structure, or improve OO code, plan a feature's architecture, or evaluate a PR's design.

navigation main article SKILL.md
schedule Updated 17 days ago
el-feo

review-ruby-code

by el-feo
star 10

Comprehensive Ruby and Rails code review using Sandi Metz rules and SOLID principles. Analyzes changed files in current branch vs base branch, runs rubycritic and simplecov, identifies OOP violations, Rails anti-patterns, security issues, code smells, and test coverage gaps. Outputs REVIEW.md with VSCode-compatible file links. Use when reviewing Ruby/Rails code, conducting code reviews, checking for design issues, pull request review, code quality analysis, or when user mentions Sandi Metz, POODR, 99 Bottles, SOLID, Law of Demeter, or "Tell Don't Ask".

navigation main article SKILL.md
schedule Updated 3 months ago
el-feo

github-actions

by el-feo
star 10

Create, evaluate, and optimize GitHub Actions workflows and custom actions. Use when building CI/CD pipelines, creating workflow files, developing custom actions, troubleshooting workflow failures, performing security analysis, optimizing performance, or reviewing GitHub Actions best practices. Covers Ruby/Rails, TypeScript/Node.js, Heroku and Fly.io deployments.

navigation main article SKILL.md
schedule Updated 3 months ago
el-feo

kamal

by el-feo
star 10

Deploy containerized web applications to any Linux server using Kamal 2. Use when users need to deploy, configure, debug, or manage Kamal deployments including initial setup, configuration of deploy.yml, deployment workflows, rollbacks, managing accessories (databases, Redis, Litestream), troubleshooting deployment issues, CI/CD integration, multi-environment setups, or understanding Kamal commands and best practices. Also use when working with Kamal Proxy, Docker-based deployments, zero-downtime deploys, or 37signals deployment tooling.

navigation main article SKILL.md
schedule Updated 3 months ago
el-feo

ruby

by el-feo
star 10

Ruby language conventions, idioms, and modern features (3.x+) for writing idiomatic Ruby code. Covers error handling patterns, performance optimization, and Ruby-specific idioms. Use when writing or reviewing pure Ruby code, using modern Ruby features (pattern matching, ractors, RBS), optimizing Ruby performance, or establishing Ruby conventions. For Rails-specific guidance use the rails skill. For design patterns use design-patterns-ruby. For testing use rspec. For code style use rubocop.

navigation main article SKILL.md
schedule Updated 3 months ago
el-feo

rubycritic

by el-feo
star 10

Integrate RubyCritic to analyze Ruby code quality and maintain high standards throughout development. Use when working on Ruby projects to check code smells, complexity, and duplication. Triggers include creating/editing Ruby files, refactoring code, reviewing code quality, or when user requests code analysis or quality checks.

navigation main article SKILL.md
schedule Updated 3 months ago
el-feo

vitest

by el-feo
star 10

Comprehensive Vitest testing framework guide with strong emphasis on Jest-to-Vitest migration. Covers automated migration using codemods, configuration setup, API differences, best practices, and troubleshooting. Use when migrating from Jest, setting up Vitest, writing tests, configuring test environments, or resolving migration issues. Primary focus is seamless Jest migration with minimal code changes.

navigation main article SKILL.md
schedule Updated 3 months ago
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Browse Agent Skills by Occupation

23 major groups · 867 SOC occupations

Browse by Category

Explore agent skills organized by their primary use case

SKILLMD / CREATORS AND OCCUPATION CATEGORIES

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.

SEO KNOWLEDGE HUB & TECHNICAL OVERVIEW

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.

8 QUESTIONS

Frequently Asked Questions

A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.