Orchestrate AI agent teams to build full-stack apps from feature ideas: generate PRDs, coordinate parallel frontend/backend/mobile/AI development matching project conventions, run multi-level code/PRD reviews with quality gates, auto-format/commit/PRs via GitHub.
npx claudepluginhub wigtn/wigtn-plugins-with-claude-code --plugin wigtn-codingAnalyze changes, run quality gate, and auto-commit with PR-based workflow. Trigger on "/auto-commit", "git 푸시", "git push", "자동 커밋", "커밋해줘", "변경사항 커밋", "PR 올려줘", "PR 만들어줘", or when user asks to commit their work after completing a task.
Generate structured PRD documents from vague feature requests. Trigger keywords: - Commands: "/prd", "PRD 작성해줘", "기능 정의서", "요구사항 문서" - Natural language (바이브 코더 친화): - "~하는거 만들고 싶어", "~하는 기능 필요해" - "~할 수 있게 해줘", "~하는 앱 만들어줘" - "~하는 서비스 기획해줘", "이런 거 가능해?" - "아이디어가 있는데", "기능 추가하고 싶어" - "~하는 사이트 만들어줘", "~하는 시스템 구축해줘"
GitHub PR을 터미널에서 리뷰합니다. PR diff를 분석하고, 코드 리뷰 점수를 매기고, 리뷰 코멘트를 남깁니다. Trigger on "/review-pr", "PR 리뷰해줘", "리뷰해줘", "PR 봐줘", "코드 리뷰", "review this PR".
AI feature implementation specialist. Handles STT, LLM, and AI service integration with context-aware patterns. Auto-discovers project conventions before implementing. Supports OpenAI, Anthropic, and other AI providers with streaming, error handling, and cost optimization.
Architecture decision specialist for /implement command. Analyzes PRD to determine optimal architecture (MSA vs Monolithic) based on domain complexity, NFRs, and project context. Returns structured decision with rationale.
Backend enhancement helper. Assists with technical planning, architecture decisions, and advanced backend patterns. Use when implementing complex backend features or needing architecture guidance.
Expert code formatter and linter specialist. Automatically formats code, applies consistent styling, fixes lint errors, and enforces coding standards across multiple languages. Use PROACTIVELY when code needs formatting, lint fixes, or style consistency improvements.
Code review specialist with 100-point quality scoring (Readability, Maintainability, Performance, Testability, Best Practices). Provides quality gate for /auto-commit. Use PROACTIVELY when reviewing code changes or before committing.
Design discovery agent using VS (Verbalized Sampling) technique. Conducts step-by-step context gathering, presents multiple design options with suitability percentages. Supports both Web (frontend) and Mobile (React Native) platforms. Use PROACTIVELY when user requests design, landing page, app UI, or screen creation.
Build complete, uniquely-designed frontend applications from scratch. Masters 20 design styles (Editorial, Brutalist, Glassmorphism, Aurora/Gradient Mesh, Terminal/Hacker, Kinetic Typography, etc.), React 19, Next.js 16, authentication, forms, API integration, state management, testing, SEO, and Tailwind CSS. Creates production-ready apps with distinctive designs that avoid generic AI aesthetics. Use PROACTIVELY when creating applications, UI components, or fixing frontend issues.
Build complete, production-ready React Native applications with Expo and React Native CLI. Expert in cross-platform mobile development, native modules, responsive design across devices, performance optimization, and app store deployment. Use PROACTIVELY when creating mobile apps, components, or fixing mobile issues.
Codebase-aware parallel digging coordinator for PRD quality analysis. 5-phase pipeline: Context Harvest → PRD Parse → Parallel Analysis (4 agents) → Cross-Category Synthesis → Quality Gate. Auto-discovers project architecture and code patterns before analysis. Distributes 4 analysis categories (Completeness, Feasibility, Security, Consistency) across independent agents with rich project context, merges evidence-based results, and enforces quality gate with cross-category insight synthesis.
Parallel code review coordinator for /auto-commit quality gate. 4-phase pipeline: Context Harvest → Blast Radius → Parallel Review → Contract Verify. Domain-agnostic — auto-discovers project conventions from codebase signals. Distributes review across 3 category-specialized agents, merges evidence-based scores, and enforces security zero-tolerance policy.
PR review specialist. Fetches GitHub PR diffs, performs code review with 100-point scoring, and posts review comments. Supports inline comments on specific lines. Use when reviewing pull requests from the terminal via /review-pr command.
PRD analysis specialist. Finds weaknesses, gaps, and risks across 4 categories (Completeness, Feasibility, Security, Consistency). Quality gate for /implement: critical issues block implementation. Use after /prd and before /implement.
Team-based parallel BUILD coordinator for /implement command. Dynamically assigns teams (Backend, Frontend, AI Server, Ops) based on PRD analysis, manages shared memory (SHARED_CONTEXT + TaskCreate + Auto Memory), and orchestrates concurrent subagent execution with graceful degradation. Ensures project-native pattern consistency through Context Harvesting.
Reference documents for deep code review (Level 3) and architecture review (Level 4). Used by code-reviewer agent for advanced review levels.
Style guides and implementation rules for frontend design. Works with design-discovery agent which handles context gathering and VS-based style recommendations. Contains detailed style guides, anti-patterns, and implementation checklists.
팀 빌드 간 공유 컨텍스트 관리 프로토콜. SHARED_CONTEXT 파일 생성/관리, TaskCreate 연동, Auto Memory 업데이트 규칙을 정의합니다.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.
Uses Bash, Write, or Edit tools