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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webdevtodayjason
Showing 12 of 17 skills
webdevtodayjason

testing-strategy

by webdevtodayjason
star 7

Comprehensive testing strategies including test pyramid, TDD methodology, testing patterns, coverage goals, and CI/CD integration. Use when writing tests, implementing TDD, reviewing test coverage, debugging test failures, or setting up testing infrastructure.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

api-best-practices

by webdevtodayjason
star 7

REST API design patterns, OpenAPI specifications, versioning strategies, authentication, error handling, and security best practices. Use when designing APIs, creating endpoints, documenting APIs, or implementing backend services that expose HTTP APIs.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

bmad-prd

by webdevtodayjason
star 7

Create Product Requirements Documents (PRDs), Architecture Documents, Epics, and User Stories using the BMAD (Breakthrough Method for Agile AI Driven Development) methodology. Use when user requests PRDs, architecture docs, epics, stories, or product planning documentation that follows structured agile practices with deep context and detail.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

code-quality-standards

by webdevtodayjason
star 7

Code quality standards including SOLID principles, design patterns, code smells, refactoring techniques, naming conventions, and technical debt management. Use when reviewing code, refactoring, ensuring quality, or detecting code smells.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

debugging-methodology

by webdevtodayjason
star 7

Scientific debugging methodology including hypothesis-driven debugging, bug reproduction, binary search debugging, stack trace analysis, logging strategies, and root cause analysis. Use when debugging errors, analyzing stack traces, investigating bugs, or troubleshooting performance issues.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

devops-patterns

by webdevtodayjason
star 7

DevOps patterns including CI/CD pipeline design, GitHub Actions, Infrastructure as Code, Docker, Kubernetes, deployment strategies, monitoring, and disaster recovery. Use when setting up CI/CD, deploying applications, managing infrastructure, or creating pipelines.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

frontend-patterns

by webdevtodayjason
star 7

Modern frontend architecture patterns for React, Next.js, and TypeScript including component composition, state management, performance optimization, accessibility, and responsive design. Use when building UI components, implementing frontend features, optimizing performance, or working with React/Next.js applications.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

project-planning

by webdevtodayjason
star 7

Project planning methodologies including work breakdown structure, task estimation, dependency management, risk assessment, sprint planning, and stakeholder communication. Use when breaking down projects, estimating work, planning sprints, or managing dependencies.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

security-checklist

by webdevtodayjason
star 7

Comprehensive security checklist covering OWASP Top 10, SQL injection, XSS, CSRF, authentication, authorization, secrets management, input validation, and security headers. Use when scanning for vulnerabilities, reviewing security, implementing authentication/authorization, or handling sensitive data.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

technical-writing

by webdevtodayjason
star 7

Technical writing best practices including documentation structure, clear writing principles, API documentation, tutorials, changelogs, and markdown formatting. Use when writing documentation, creating READMEs, documenting APIs, or writing tutorials.

navigation main article SKILL.md
schedule Updated 8 months ago
webdevtodayjason

rust-conventions

by webdevtodayjason
star 1

Rust house style for subctl-adjacent work — cargo, clippy, rustfmt, error handling with `thiserror` / `anyhow`, async patterns with tokio, testing. Load this skill whenever a worker is touching `.rs` files. Subctl has a Rust component (the policy bash-gate kernel) and several adjacent projects use Rust for performance-sensitive paths. These are the defaults to apply when the project's local CLAUDE.md doesn't override.

navigation main article SKILL.md
schedule Updated 1 month ago
webdevtodayjason

node-conventions

by webdevtodayjason
star 1

Node.js / Bun / TypeScript house style for subctl projects — runtime choice, imports, naming, errors, async patterns, testing. Load this skill whenever a worker is touching `.ts`, `.tsx`, `.js`, or `.mjs` files in a subctl-managed project. Use it instead of guessing the conventions from the surrounding code (the surrounding code may itself be drift). Defaults documented here are the operator's preferences as expressed across the v2.7.x release wave.

navigation main article SKILL.md
schedule Updated 1 month 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.