Discover Documentation skills, compare source repositories and read the instructions for each workflow.
Planning specialist that creates structured implementation plans for the finans project. Use this skill to transform user requests into comprehensive, well-researched plan files stored in .task-board/backlog/....
Bulk backlog scanner that analyzes the entire finans codebase vs CLAUDE.md, identifies ALL gaps, and generates a comprehensive, prioritized, numbered task backlog. Uses broad→narrow pattern.
Research and generate Azure deployment guide with EasyAuth (Google + Facebook) and CosmosDB. This skill searches for current documentation and screenshots to produce an up-to-date setup guide at .docs/azure-set...
Focused task planning for ONE specific idea. Uses narrow→broad pattern - starts at user's focus point, expands context only as needed. Creates detailed task via task-board skill.
Analyze a specific directory (e.g. frontend/, backend/, e2e/) and generate .claude/rules/ markdown files for it. Use when asked to create rules, analyze a folder for Claude Code, or set up domain memory for a s...
Comprehensive application audit. Analyzes best practices, security compliance, frontend design quality. Identifies top improvements and critical errors. Produces scores for design, code quality, and security.
Comprehensive SEO optimization skill based on Google's official guidelines. Covers technical SEO, content SEO, structured data, Core Web Vitals, E-E-A-T strategies, practical code generation, and site audit wor...
包括的なSEO最適化スキル（日本語版）。Googleの公式ガイドラインに基づく技術SEO、コンテンツSEO、構造化データ、Core Web Vitals、E-E-A-T対策を網羅し、実践的なコード生成とサイト監査ワークフローを提供
Create React/Next.js 16 components. Use when building pages, client/server components, forms with useActionState, or UI with shadcn/ui. ALWAYS activate with frontend-design together.
Unit tests with Jest + React Testing Library. CRITICAL - Uses Jest (NOT Vitest).
Implement authentication with NextAuth v5. Use when adding login/logout, checking sessions, protecting API routes, server actions, or pages.
Create implementation plans for Next.js features. Use when breaking down user stories into tasks, planning feature implementation, or decomposing complex requirements.
Write integration tests with Jest for API routes and database operations. Use when testing backend logic, API endpoints, or data layer.
Manage client-side state with Zustand. Use when building shopping cart, user preferences, theme toggle, UI state, or any cross-component shared state with localStorage persist.
Create Next.js 16 API Route Handlers. Use when building REST endpoints (GET, POST, PUT, DELETE), implementing CRUD operations, or creating authenticated APIs with Zod validation.
Define TypeScript types, interfaces, and type utilities. Use when creating type definitions, DTOs, API response types, or component props.
Create Prisma schema models with relations and indexes. Use when designing database schemas, adding models, or defining entity relationships.
Create robust, error-proof Prisma seed scripts with comprehensive error handling and validation.
Review code for quality, security, performance, and best practices. Use when reviewing changes before commit, auditing code for issues, or suggesting improvements.
Debug code errors systematically. Use when analyzing error messages, fixing bugs, resolving build/lint errors, or troubleshooting runtime issues.
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
Composable atomic blocks for categorical meta-prompting. Defines 16 reusable blocks across 4 layers (Assessment, Transformation, Refinement, Composition) that can be composed to build custom workflows. Enables...
Master reference for categorical meta-prompting unified syntax. Contains all modifiers, operators, composition patterns, and execution protocols. Use this skill for self-reference when executing any prompt work...
LLM4S Scala functional LLM interfaces with Effect system integration. Use when building LLM applications in Scala with ZIO or Cats Effect, implementing type-safe AI pipelines with functional error handling, cre...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.