requirements-analyzer
**REQUIREMENTS ANALYZER** - '이런 거 만들고 싶어', '기능 정리', '뭐부터 만들어야', 'MVP 정의', '요구사항 분석', '기획서 분석' 요청 시 자동 발동. 자연어 아이디어를 기술 명세로 변환. MVP 분리, 우선순위 매트릭스,...
探索开发、内容、数据与办公效率等 AI 技能。先比较用途和仓库热度,再查看技能说明与来源。
**REQUIREMENTS ANALYZER** - '이런 거 만들고 싶어', '기능 정리', '뭐부터 만들어야', 'MVP 정의', '요구사항 분석', '기획서 분석' 요청 시 자동 발동. 자연어 아이디어를 기술 명세로 변환. MVP 분리, 우선순위 매트릭스,...
**v1.0 AGENTIC PIPELINE**: 6단계 에이전틱 아이디어 팩토리! 프로젝트분석→카테고리분류→아이디어기획(병렬)→기획팀장→PRD개발팀장→CTO최종결정. 4team-review 통합, 상위 0.001% 전문가 수준 기획문서 자동 생성.
Add Google-style docstrings to modules. Use for documentation requests.
Measure test coverage and identify untested areas. Use for coverage checks.
Generate unittest test files for untested cvp/ modules. Use for test creation.
Perform static analysis on cvp/ modules for code quality reports. Use for code review or quality checks.
Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.
Generates detailed implementation plans with subtasks, dependencies, and verification steps. Use when breaking down features, refactors, or complex changes into actionable tasks. Keywords: planning, decompositi...
Interactive requirements elicitation that transforms user needs into structured requirements.json. Use when starting new features, clarifying vague requests, or gathering acceptance criteria. Keywords: requirem...
React and Next.js performance optimization guidelines for CPET.db. Tailored for three-tier architecture with Vercel frontend, Google Cloud Run backend, and Supabase database. Use when writing, reviewing, or ref...
Create a GitHub pull request with conventional commit title
Reinforcement learning training for CTF-AI. Use when training DQN agents, adjusting hyperparameters, debugging training issues, analyzing rewards, or improving AI performance.
TypeScript/Vue frontend development for CTF-AI. Use when working on game UI, Phaser scenes, Vue components, WebSocket client, or any frontend code.
OpenSpec spec-driven development workflow. Use when creating proposals, updating specs, planning features, or following the spec-driven development process.
Game testing for CTF-AI. Use when writing tests, running pytest, Vitest, Playwright e2e tests, testing game mechanics, or validating player behavior.
Python backend development for CTF-AI. Use when working on game engine, player logic, pathfinding, WebSocket server, or any backend Python code.
基于用户画像和向量化笔记提供个性化对话。当用户需要个性化交流、上下文感知的回应,或希望 AI 记住并引用其之前的想法和笔记时使用。
A simple skill that should be used to respond to a user when the enter the phrase "hello world".
Create distinctive, production-grade frontend interfaces with high design quality using the primer design system and brand guidelines. Use this skill when the user asks to build web components, pages, artifacts...
사용자가 학습한 내용을 리뷰해달라고 요청하거나, 학습 정리에 대한 피드백, 놓친 부분, 실무 연결, 관점 확장을 요청할 때 사용한다.
사용자의 주간 학습 기록(마크다운 파일들)을 분석하여 통계 및 복습용 자료를 생성할 때 사용한다.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when you have a spec or requirements for a multi-step task, before touching code
Helps the agent generate high-quality, predictable, and efficient .agent/skills/ directories based on user requirements. Use when the user asks to create a new skill or modify an existing one.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。