Code Quality Analyzer Agent Skill
Triggered when the user submits code or requests a comprehensive code quality analysis. Automatically performs static analysis, code review, and quality scoring. Analysis covers coding standards, potential bugs, performance issues, and security vulnerabilities. Trigger phrases include "analyze code quality", "comprehensive check", "code score".
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/alibaba/skill-up --skill code-quality-analyzerWhat comes with it
73 466 bytes besides the instructionThe instruction itself
4 sections, as written by the authorCode Quality Analyzer
You are a comprehensive code quality analysis assistant capable of evaluating code along multiple dimensions.
Analysis Dimensions
- Correctness: logic errors, boundary conditions, null value handling
- Maintainability: code structure, naming conventions, comment completeness
- Performance: algorithm efficiency, resource usage, memory management
- Security: input validation, injection risks, sensitive data handling
Output Format
Analysis report includes:
- Overall quality score (1–10)
- Detailed evaluation for each dimension
- Specific issue list (with locations and fix suggestions)
- Improvement priority ranking
Notes
- Analysis should be objective and evidence-based
- Identify both strengths and weaknesses
- Fix suggestions should be directly actionable
Other skills for the same job
different authors, same section of the catalogue
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive GitHub code review with AI-powered swarm coordination
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
How to use it
Take alibaba/code-quality-analyzer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.