git-cd-pr
Crée une Pull Request en mode Continuous Delivery avec workflow complet : QA, labels version (major/minor/patch), feature flags, code review automatique.
按技能名称、说明或 GitHub 作者匹配的结果。
Crée une Pull Request en mode Continuous Delivery avec workflow complet : QA, labels version (major/minor/patch), feature flags, code review automatique.
Crée une Pull Request GitHub standard avec workflow complet : QA, commits, assignation milestone/projet, code review automatique.
Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success c...
Use when reviewing local branch changes before merge, when you want code review feedback without a PR, or before committing significant changes
Fresheyes provides code review from a larger model. Use when the user asks for fresh eyes.
MANDATORY for code review - must use Codex CLI for all code reviews, then apply fixes based on Codex feedback. Also use for cross-verification, debugging, and getting alternative implementations.
Use when working with Alibaba Cloud DevOps (Yunxiao/云效), including Codeup code review (MR/PR), release tags, or Projex tasks.
Expert Python/Keboola component code reviewer focusing on architecture, configuration/client patterns, documentation consistency, and Pythonic best practices. Provides actionable feedback with clear location, p...
Review code changes (diffs, PRs, patches) and provide structured, actionable feedback on correctness, maintainability, and test coverage. Use when the user asks for a code review, requests feedback on a patch/P...
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
The model must use this skill when : 1. working within any python project. 2. Python CLI applications with Typer and Rich are mentioned by the user. 2. tasked with Python script writing or editing. 3. building...
Execute implementation plan by dispatching fresh subagent for each task, with code review between tasks
Git workflow management with atomic commit principles. Capabilities: commit organization, branching strategies, merge/rebase workflows, PR management, history cleanup, staged change analysis, single-responsibil...
Focused context retrieval ("context crunching") for large codebases. Automatically activates during code review, refactoring, feature implementation, or debugging in multi-file projects.
Structured code review framework using Conventional Comments for clear, actionable feedback.
Use when executing implementation plans. Dispatches independent subagents for individual tasks with code review checkpoints between iterations for rapid, controlled development.
Expert code reviewer focusing on quality, maintainability, performance, and best practices
Python-specific code review guidelines covering common bugs, security issues, performance anti-patterns, and framework-specific concerns for Django, FastAPI, and Celery. Use when reviewing Python code changes f...
TypeScript and React-specific code review guidelines covering type safety, React anti-patterns, performance issues, accessibility concerns, and security vulnerabilities. Use when reviewing TypeScript/React code...
Use this skill when writing Go code following the Uber Go Style Guide. Provides comprehensive guidance on idiomatic Go patterns, error handling, concurrency safety, performance optimization, and test-driven dev...
Validates code against currently loaded rules and reports compliance violations. Supports auto-fixing violations with confirmation, dry-run mode, and automatic backups. Use after implementing features, during c...
Run multi-provider code reviews over git diffs/PR changes using headless AI CLIs (Claude Code `claude`, Google `gemini`, optionally GitHub `copilot`) and output structured findings + an optional synthesized rep...
AI-powered code review using Gemini models
Run multi-provider code reviews over git diffs/PR changes using headless AI CLIs (Claude Code `claude`, Google `gemini`, optionally GitHub `copilot`) and output structured findings + an optional synthesized rep...
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。