reviewing-changes
Use this skill to evaluate implementation quality, track technical debt via an append-only log, and generate a fix queue (prd.json) when a change does not meet the specification.
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Use this skill to evaluate implementation quality, track technical debt via an append-only log, and generate a fix queue (prd.json) when a change does not meet the specification.
Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase
Create git commits with user approval and no Claude attribution
MEMORY FIRST - Query memory BEFORE scanning any codebase. Use when encountering ANY problem, error, or task. Call "recall" FIRST, then scan codebase only if nothing found. Triggers: "check memory", "recall", "h...
Archive completed changes and optionally sync specs first.
Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.
Runs Ralph orchestrator with the code-assist configuration to implement code tasks autonomously. Spawns Ralph as a subprocess that handles the full TDD workflow (Explore, Plan, Code, Commit) for the given code...
Helper logic for automatically selecting appropriate Argonauts reviewers based on files discovered by the Explore agent. Analyzes file characteristics (path, name, extension) to determine optimal reviewer combi...
Branch skill for building and improving hooks. Use when creating new hooks, adapting marketplace hooks, validating hook structure, writing hook scripts, or improving existing hooks. Triggers: 'create hook', 'im...
Branch skill for building and improving plugins. Use when creating new plugins, validating plugin structure, adapting marketplace plugins, or improving existing plugins. Triggers: 'create plugin', 'improve plug...
Branch skill for building and improving commands. Use when creating new slash commands, adapting marketplace commands, validating command structure, working with $ARGUMENTS, or improving existing commands. Trig...
Generate Konveyor analyzer migration rules from migration guides using AI
Diagnoses GitHub Actions CI/CD failures for FanHub's Node.js workflows. Identifies test failures, build errors, Docker issues, and environment problems.
research the codebase
Reads a module's README.md, identifies missing exercise files from the planning table, and creates standalone exercise files using TEMPLATE.md format. Use when exercises are planned but not yet implemented as i...
Diagnoses npm/yarn dependency conflicts, identifies cascading updates, and suggests safe upgrade paths for React/Node.js projects.
Improve existing code structure and quality while preserving functionality through systematic refactoring techniques, code modernization, and technical debt reduction. Use when improving code quality, modernizi...
Commit Changes in CI with no user interaction
Manage semantic versioning, changelog generation, and release notes. Auto-generates entries from completed issues or git diff.
Extract, plan, or propose implementation details at configurable depth levels (low/normal/extensive). Outputs to reference files for team discussion and handoff.
Vision audit and sprint execution for org run elon and org run elon sprint requests. Use when asked to scan the repo for vision alignment, inefficiencies, or to push a fast sprint that may bend rules for speed.
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
Anthropic 風格的專業計畫管理 Skill - 自然語言驅動、預設並行、全自動 GitHub 整合
Analyze a Julia compiler PR for downstream impact, secondary effects, and changelog generation. Use when asked to analyze a PR number or when working with compiler_prs.json data.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.