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Found 43 Skills
Methodology for effective AI-assisted software development. Use when helping users build software with AI coding assistants, debugging AI-generated code, planning features for AI implementation, managing version control in AI workflows, or when users mention "vibe coding," Cursor, Windsurf, or similar AI coding tools. Provides strategies for planning, testing, debugging, and iterating on code written with LLM assistance.
Use this skill when the user needs to turn an idea into a buildable spec, write a project scope, create feature requirements, or define an MVP. Covers quick feature specs (10-15 min) for immediate AI builds and full project scopes (1-2 hours) for planning and contractor estimates.
BAZDMEG Method workflow checkpoint system for AI-assisted development. Enforce quality gates at three phases: pre-code, post-code, and pre-PR. Use when: (1) starting a new feature or bug fix, (2) finishing AI-generated code before review, (3) preparing a pull request, (4) running a planning interview, (5) auditing automation readiness, (6) preventing AI slop, (7) session bootstrap, (8) source rank, (9) domain gates, (10) bugbook. Triggers: 'bazdmeg', 'pre-code checklist', 'post-code checklist', 'pre-PR checklist', 'planning interview', 'quality gates', 'session bootstrap', 'source rank', 'domain gates', 'bugbook'.
Storybook MCP server integration for component-aware AI development. Covers 6 tools across 3 toolsets (dev, docs, testing): component discovery via list-all-documentation/get-documentation, story previews via preview-stories, and automated testing via run-story-tests. Use when generating components that should reuse existing Storybook components, running component tests via MCP, or previewing stories in chat.
신규 기능 요구사항을 대화형으로 수집하여 AI 최적화 Spec + DB 스키마 기본 설계를 생성하는 스킬. "Spec 만들어줘", "신규 기능 기획", "요구사항 정리" 키워드로 트리거. 기존 기능 분석이 필요하면 peach-gen-feature-docs를 사용한다.
Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.
Project scaffolding and management for vibe coding. Initializes opinionated documentation structure, tracks features, and keeps agent context updated. Use when: setting up a new project, tracking features, viewing project status, or managing documentation. Works with Claude Code, OpenCode, Codex CLI, and other skills-compatible agents.
Conversational SDD (Specification-Driven Development) guidance skill based on OpenSpec. It is automatically triggered when a user describes development requirements, and guides the user through the entire SDD process via conversations without any manual command input.
Navigate the SLDD (Spec Loops Driven Development) process and choose the correct skill for the current stage. Use when starting a new feature or when unsure which step comes next.
Keep AI tooling files (.claude, .codex, .cursor, .windsurf, .augment, .kiro, .cline, .roo, .gemini, etc.) on dev branch but exclude them from main/master. Use when managing branches, creating PRs to main, merging to main, or setting up a repo's branch strategy for AI-assisted development. Triggers on git merge/PR operations targeting main or master.
Scan the current repo and score its feedback loop maturity for AI-assisted development
Code template search and generation tool. Auto-initializes on first use. Use when: 1. search/get - user needs code templates, "检索模板", "search template" 2. generate - user wants to create template from code/file/repo/url, "生成模板" 3. upload - user has prepared template files, "上传模板" Requirements: JDK 17+, Git (for first-time setup)