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Found 102 Skills
AC 문서를 입력받아 Tech Spec을 작성하고, 자동으로 bf-lead-review를 통해 다관점 리뷰를 수행한다. BF 워크플로우 진입점.
This skill should be used when agents need to search codebases for text patterns or structural code patterns. Provides fast search using ripgrep for text and ast-grep for syntax-aware code search.
Create a living specification (Spec) or plan for a feature by analyzing requirements and codebase
Structured development workflow that separates research, planning, and implementation into distinct phases with persistent markdown artifacts. Use when starting any non-trivial feature, refactor, bug investigation, or codebase change. Trigger on: "deep work", "research and plan", "plan before coding", "write a plan", "research this codebase", "don't code yet", "understand then implement", or when the user wants a disciplined approach to a complex task. Also use when the user says "research", "plan", "annotate", "implement the plan", or references research.md/plan.md artifacts.
Access AI-generated documentation and insights for GitHub repositories via DeepWiki. This skill should be used when exploring unfamiliar codebases, understanding repository architecture, finding implementation patterns, or asking questions about how a GitHub project works. Supports any public GitHub repository.
Agent skill for scout-explorer - invoke with $agent-scout-explorer
Assess a Rails app's full codebase for compliance with privacy laws, like GDPR and LGPD. Generates an assessment report, not a legal audit.
Provides autonomous project pattern learning by analyzing the codebase to discover development conventions, architectural patterns, and coding standards, then generates project rule files in .claude/rules/. Use when user asks to "learn from project", "extract project rules", "analyze codebase conventions", "discover project patterns", or wants to auto-generate Claude Code rules for the current project.
Use when you need a fast, reliable architecture or impact view in a large unfamiliar repo, especially under time pressure or tight context budgets where manual grep or folder inference would be risky.
This skill helps users get started with existing (brownfield) projects by scanning the codebase, documenting structure and purpose, analyzing architecture and technical stack, identifying design flaws, suggesting improvements for testing and CI/CD pipelines, and generating AI agent constitution files (AGENTS.md) with project-specific context, coding principles, and UI/UX guidelines.
Generate LLM skills from documentation, codebases, and GitHub repositories
This skill should be used when user asks to "generate UML", "create sequence diagram", "生成时序图", "生成类图", "generate PlantUML", or discusses generating UML diagrams for new interfaces or API design.