review-code
Provides a structured workflow for planning and executing code reviews like a senior engineer. Use when asked to review code, PRs, or plan a code review task.
按技能名称、说明或 GitHub 作者匹配的结果。
Provides a structured workflow for planning and executing code reviews like a senior engineer. Use when asked to review code, PRs, or plan a code review task.
Review implementation quality and regression risks via claude-delegator (Code Reviewer expert). Use after implementation for complex tasks, refactors, or API changes.
Validate integration impact and regression risks via claude-delegator (Code Reviewer expert). Use for complex tasks or API integration.
Omniscient hyper-elite software engineering command center. Triggers: write code, debug, fix bug, build app, create API, design system, architect, deploy, secure, optimize, refactor, review code, test, CI/CD, D...
Elite software engineering toolkit for building production-grade applications. Use when developing, debugging, optimizing, or deploying code—especially for API development, database design, performance tuning,...
Orchestrate sprint implementation by managing branches, PRs, and CI while delegating coding to the sprint-implement agent. Use when implementing PRs from a sprint plan. Triggers on commands like "/sprint-orches...
Systematic code review and evaluation tool for Python/FastAPI projects. Use when reviewing PRs, evaluating code quality, checking architecture compliance, or providing feedback on implementations. Triggers on "...
Versatile Codex MCP integration for code review, technical research, documentation generation, and custom technical queries. Automatically constructs optimized prompts and gathers project context.
Multi-model AI collaboration via orchestrator MCP. Use when seeking second opinions, debugging complex issues, building consensus on architectural decisions, conducting code reviews, or needing external validat...
Patterns for delegating tasks to Codex CLI (GPT 5.2) experts including bug analysis, code review, and plan revision via the mcp__codex__codex tool.
This skill should be used when classifying issues, findings, or code review problems with severity levels. Triggers on requests like "classify severity", "what is P1/P2/P3", "determine issue priority".
Behavioral workflows and collaboration patterns for code review, agent coordination, and branch management. Use this skill when coordinating multi-agent work, managing code review processes, completing feature...
Use when working with CodeRabbit AI code review. Covers triggering reviews, interpreting feedback, addressing comments, and PR workflow integration.
Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation,...
Orchestrates the Code Review process (Analysis -> Fix -> Reply/Close). Manages the workflow by invoking specialized sub-skills like code-review-analysis, tdd-refactoring, and tdd-audit. Used for (1) addressing...
Implementation orchestration skill for executing code changes. Use when user has a plan and wants to implement features, bug fixes, or code changes. Requires plan/context from user. Handles VCS, TDD with Aegis...
Guide for creating reliable AI workflows and SOPs. Use when: (1) User wants to create a structured workflow for AI tasks, (2) User needs to build an SOP for complex processes, (3) User wants to ensure their wor...
Code review workflow with TODO tracking. Use when user says "review", "review-workflow", or asks to review code, PRs, or changes.
Comprehensive multi-AI consensus workflow for: 1. CODE REVIEW - Clinical/technical review following SOP with TODO.md/IDEAS.md tracking 2. ANALYSIS PLANNING - Statistical/bioinformatic analysis plans saved to an...
Orchestrates complex or architectural code changes through a structured workflow. Use when the user requests multi-file changes, new features, architectural refactoring, database schema changes, new API endpoin...
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type...
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...
This skill should be used when the user asks to "triage an issue", "evaluate a feature request", "should I accept this issue", "analyze GitHub issue", "review this pull request", "review this PR", "should I mer...
Expert code review for Python, microservices, security, and production best practices. Automatically activated when code review is needed to identify bugs, security issues, and quality problems.
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。