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Found 2,069 Skills
Strict Home Assistant Integration Code Review. Used for comprehensive checks before submitting PRs, including Quality Scale rule validation, code style, Config Flow, test coverage, and documentation. Triggered when users say "Review my HA integration", "Check if my code complies with HA specifications", or "Help me review the code ready for submission".
Provides comprehensive guidance for adding Java code comments following industry standards and best practices. This skill helps add class-level comments, method-level comments, and field-level comments to Java code. Use when the user wants to add comments to Java code, needs to document Java classes/methods/fields, wants to improve code documentation, or needs to generate JavaDoc comments. This skill covers Controller, Service, ServiceImpl, Mapper, Model, Entity, BO (Business Object), DTO, VO, and other common Java component types. The skill follows a systematic workflow: scan codebase, identify components, create todo list, and add comments in order (class comments → method comments → field comments).
Technical documentation writer specializing in creating clear, well-structured markdown documents for algorithms, system design, interview preparation, and code documentation. Use when writing README files, algorithm explanations, system design docs, or technical guides.
FrankenPHP Documentation - Modern PHP application server built on Caddy
A specialized skill for test naming conventions and best practices. Use this when you need to name test methods, improve test readability, or establish naming standards. It covers three-part naming method, Chinese naming recommendations, test class naming, etc. Keywords: test naming, test naming, naming conventions, naming conventions, three-part naming, three-part naming, method_scenario_expected, method_scenario_expected, how to name tests, test readability, test readability, naming best practices, test reports, test documentation
Expert-level dbt (data build tool), models, tests, documentation, incremental models, macros, and Jinja templating
Execute deep web research on any topic using Yutori's research agents. Use for competitive analysis, market research, finding documentation, or answering complex questions that require synthesizing information from multiple sources.
Checklist covering accuracy, style, accessibility, and localization requirements for documentation releases.
Automatically generate comprehensive backend API documentation in AGENTS.md format. Use when the user requests to: (1) Document backend API endpoints, (2) Update backend API specifications after code changes, (3) Create or refresh backend/AGENTS.md with complete API documentation including request/response schemas, business rules, and authentication details, (4) Generate API documentation from FastAPI route files
Generate comprehensive AGENTS.md documentation for backend projects with complete API specifications, business rules, data models, and data flows. Use when (1) Creating AGENTS.md from existing CLAUDE.md, (2) Documenting backend API modules with FastAPI routes, (3) Migrating documentation to AGENTS.md/CLAUDE.md symlink structure, (4) Adding complete API interface documentation to existing specs, (5) Creating module-level AGENTS.md for specific features (mcp, teamo_code, file_system, etc.)
Template management system for code boilerplates, feedback templates, scaffolding, and project optimization workflows. Use when creating code templates, generating boilerplate files, managing project scaffolding, optimizing template performance, or preparing GitHub issue templates. Do NOT use for SPEC document creation (use moai-workflow-spec instead) or documentation generation (use moai-workflow-project instead).
Web search and content extraction using ddgs (multi-engine metasearch). No API keys required. Use when: searching documentation, facts, current information, news, fetching web content. Triggers: search the web, look up, find information, web search, news search, fetch page.