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.
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Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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adr-writing
by shopwareLabsUse this skill when the user asks to write, create, draft, or validate an Architecture Decision Record for the Shopware core repository — phrases like "write an ADR", "create an architecture decision record", "draft a decision record", "validate this ADR", "check ADR quality", or when they mention "ADR", "architecture decision record", or "decision record" in a context that calls for capturing or auditing an architectural decision. Interactively creates ADRs (simple or multi-domain structure) with proper YAML front matter and guided content, and validates existing ADRs against front matter rules, required coverage, structure, writing style, and Shopware-specific patterns.
phpunit-unit-test-team-reviewing
by shopwareLabsUse this skill when the user asks for a team-based, consensus, multi-reviewer, or red-team review of Shopware PHPUnit tests — trigger phrases like "team review these tests", "consensus review the tests in PR
phpunit-integration-to-unit-migrating
by shopwareLabsUse this skill ONLY when the user explicitly requests an audit, migration, or evaluation of whether a Shopware integration test belongs in the unit suite — trigger phrases like "audit integration tests", "migrate integration tests to unit", "is this an integration test or a unit test", "evaluate integration tests for migration", "should this be a unit test instead". Audits tests under tests/integration/ for misplacement and migrates load-bearing-free tests to tests/unit/ using one of six codified refactoring patterns. NOT invoked automatically by reviewing skills — phpunit-integration-test-reviewing emits a placement smoke-alarm hint pointing here, but the user must invoke this skill explicitly to run the deep audit.
phpunit-integration-test-generation
by shopwareLabsUse this skill when the user asks to generate, write, or create integration tests for a Shopware 6 source class whose contract requires wired-up code — phrases like "generate integration tests for X", "write an integration test for this controller", "test this indexer", "create an integration test for the message handler". Detects supported integration patterns (controller/route, scheduled-task, message-handler, indexer, DAL-persistence flow, multi-service coordinator) and applies a template producing an INTEGRATION-001..008-compliant test using IntegrationTestBehaviour against the real DAL, container, and HTTP/messaging. When the source class is unit-shape (no persistence, no kernel state, no wiring under test), returns SKIPPED and points at phpunit-unit-test-writing. Do NOT activate for unit tests or migration tests (use phpunit-migration-test-generation).
phpunit-unit-test-writing
by shopwareLabsUse this skill when the user asks to write, generate, create, or add PHPUnit unit tests for a Shopware 6 source class — phrases like "write unit tests for X", "generate tests for ClassName", "create PHPUnit tests", "add test coverage", "test this class", "cover this with tests", "I need tests for", "unit test this", "SW6 unit tests", "Shopware unit tests", "PHPUnit tests for Shopware". Orchestrates the full workflow — source-class category detection (DTO, Service, Flow/Event, DAL, Exception), test generation, MCP-driven review against Shopware unit-test rules, and an inline fix loop that iterates until tests pass. Do NOT activate for integration tests (use phpunit-integration-test-generation), migration tests (use phpunit-migration-test-generation), e2e tests, or non-PHP testing.
changelog-summarizing
by shopwareLabsUse this skill when the user asks to summarize, recap, or post about repository changes in the Shopware AI Coding Tools marketplace since a given date — phrases like "write a changelog post for Discord", "recap this week's commits for Slack", "summarize what shipped since 2026-04-01", "draft a release announcement". Analyzes commits on main, groups changes by plugin, and produces two separate platform-formatted posts (Discord markdown and Slack mrkdwn).
plugin-updating
by shopwareLabsUse this skill when the user asks to bump, update, or release a new version of a plugin in the Shopware AI Coding Tools marketplace — phrases like "bump test-writing to 3.8.0", "release a patch for dev-tooling", "update the plugin version". Handles synchronized version bumps across `plugin.json` and every `SKILL.md` frontmatter inside the plugin, plus CHANGELOG entries and template-synced setup-skill version syncing where applicable.
commit-message-writing
by shopwareLabsUse this skill when the user explicitly asks to generate, write, draft, or create a commit message, squash commit, commit title, or merge commit message for the Shopware core repository (shopware/shopware). Supports two modes — full commit messages (title + body) for branch commits, and squash merge titles (title-only) for trunk merges — the skill auto-detects which based on the current branch and PR target. Analyzes diffs, infers scope from Shopware's directory structure, and detects breaking changes. Do NOT activate during implementation work or when the user is still writing code; only when they are ready to capture a finished change. For commit messages in the ai-coding-tools marketplace repo itself, use the commit-message-generating skill instead.
dev-tooling-setting-up
by shopwareLabsUse this skill when the user just installed the dev-tooling plugin and needs to configure it for a Shopware project, asks "help me set up dev-tooling" or for guidance on configuring the PHP and JavaScript tool chains, or when dev-tooling MCP tools fail with missing-config errors. Also use when reconfiguring the environment type (native, Docker, Docker Compose, Vagrant, DDEV) for the PHP and JS MCP servers. Checks prerequisites (jq), creates .mcp-php-tooling.json and .mcp-js-tooling.json, validates that the three MCP servers (PHP — PHPStan, ECS, Rector, PHPUnit; Administration JS; Storefront JS) connect, and walks through optional scope setup including the phpactor LSP.
pr-description-writing
by shopwareLabsUse this skill when the user asks to write, draft, create, or improve a PR description, is about to create a PR, or mentions "PR description", "pull request description", or "PR template" — AND that PR targets trunk in the Shopware core repository (shopware/shopware). The skill detects the target and only activates for trunk-targeting PRs; for PRs targeting a feature branch, use feature-branch-pr-writing instead. Do NOT activate mid-implementation — only when the user is ready to describe finished changes. Produces a conventional-commit title and a description following Shopware's 5-section template, leveraging the full branch diff against trunk and session context.
feature-branch-pr-writing
by shopwareLabsUse this skill when the user asks to write, draft, create, or improve a PR description for a Shopware core repository PR — AND that PR targets a non-trunk feature branch (not trunk itself). Trigger phrases like "write a PR description", "draft the PR", "what should I put in the PR body". The skill detects the target branch and only activates for non-trunk targets; for trunk-targeting PRs, use pr-description-writing instead. Do NOT activate mid-implementation — only when the user is ready to describe finished changes. Produces a conventional-commit title and a narrative-prose description with topical subsections, leveraging the diff against the target branch and any related PRs in the chain.
phpunit-migration-test-generation
by shopwareLabsUse this skill when the user asks to generate, write, or create migration tests for a Shopware 6 migration class — phrases like "generate migration tests", "write a migration test", "create migration test", "test this migration", "test Migration1234Foo". Analyzes the source migration's SQL operations to pick an appropriate pattern (schema-add, schema-remove, data-update, config, mail template), then generates a test that runs against a real database and passes PHPStan and PHPUnit validation. Do NOT activate for unit tests (use phpunit-unit-test-writing) or integration tests of non-migration source classes (use phpunit-integration-test-generation).
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.