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Found 52 Skills
Automatically generate intelligent PR descriptions by analyzing code changes. Uses Git diffs, commit history, and context to create comprehensive pull request descriptions with summary, changes, testing notes, and breaking changes.
Reverse-engineer a SPEC document from an existing project. Analyzes code, config, tests, and structure to produce a comprehensive specification. Triggers on: code-to-spec, reverse spec, generate spec, 逆向规格, 生成规格文档, 生成设计文档, 生成设计方案, extract spec, document this project, what does this project do.
Generate and maintain documentation for code, APIs, and project components
Analyze codebases from the bottom up and generate a hierarchical README.md document tree. Start analysis from leaf directories, generate README.md files for each directory containing one-sentence descriptions of files, classes, and functions, and summarize layer by layer upwards to form a complete codebase documentation system. Supports state persistence and resumable analysis, suitable for scenarios such as understanding new projects, generating technical documentation, and analyzing code structures. Use this skill when you need to understand codebase structures, analyze function implementations, or generate code documentation.
Organize reusable programming patterns / library usages / technical skills that answer "To do this kind of thing, the correct approach is this" into a prescriptive reference library, which can be retrieved and reused as needed during feature-design and issue-analyze phases. Three types: pattern (design patterns, programming idioms), library (usage and pitfalls of a certain library/framework), technique (specific operation skills / command recipes). Trigger scenarios: When the user says "record a trick", "this usage is worth recording", "tricks", "record library usage", or when a skill worth archiving is discovered during feature-design / issue-analyze phases and actively pushed. Refer to `codestable/reference/system-overview.md` for how to distinguish it from learning / decisions / explore.
In-code documentation, folder READMEs, and code comments. Use when writing README.md files, JSDoc comments, or explaining code organization.
Guidelines for writing Rust documentation
Persistent decision log that creates a read-write feedback loop: read previous decisions before starting work, respect or supersede them, and write new Y-statement records as you go. Activates during any task involving architectural, structural, or design decisions - choosing libraries, designing schemas, creating modules, making tradeoffs, selecting patterns. Also activates when DECISIONS.md already exists in the project. Do NOT activate for trivial changes like typos, renames, or formatting.
Semantic search skill for retrieving code and documentation from the ChromaDB vector store. Use when you need concept-based search across the repository (Phase 2 of the 3-phase search protocol). V2 includes L4/L5 retrieval constraints.
Provides comprehensive guidance for adding Java code comments following industry standards and best practices. This skill helps add class-level comments, method-level comments, and field-level comments to Java code. Use when the user wants to add comments to Java code, needs to document Java classes/methods/fields, wants to improve code documentation, or needs to generate JavaDoc comments. This skill covers Controller, Service, ServiceImpl, Mapper, Model, Entity, BO (Business Object), DTO, VO, and other common Java component types. The skill follows a systematic workflow: scan codebase, identify components, create todo list, and add comments in order (class comments → method comments → field comments).
Karpathy LLM Wiki 패턴 기반 지식 관리 스킬. 코드 프로젝트와 옵시디언 노트 모두 지원. Raw Source(코드·문서)를 읽어 docs/wiki/에 누적형 지식베이스를 구축·유지한다. "wiki", "위키", "ingest", "인제스트", "wiki 점검", "wiki lint", "wiki 업데이트", "문서화해줘", "아키텍처 설명해줘", "어떻게 동작해?" 키워드로 트리거. qmd 검색 도구와 연동하여 토큰 절약 + 높은 검색 정확도 제공.
Generate design or architecture documents from existing implementation. Works backwards from code/prototypes to create missing planning docs.