Analyze code files recursively and report quality issues with severity levels.
npx skills add https://github.com/pontscho/prompt-heaven --skill p-code-review
Please help me install this Agent Skill. Skill: p:code-review Source: https://github.com/pontscho/prompt-heaven/tree/main/ClaudeCode/skills/p%3Acode-review Command: npx skills add https://github.com/pontscho/prompt-heaven --skill p-code-review
Codebases often accumulate technical debt and inconsistent quality across files and modules, making maintenance costly and risky.
Review the target path and return a structured report detailing readability, structure, and maintainability findings.
High-intent search queries and answers about installing and using this skill.
You can analyze code quality across a directory by recursively scanning files up to a configurable depth, filtering out non-code artifacts, and gathering metrics on readability, structure, error handling, naming, and maintainability.
Yes, code review findings are output as structured results with severity levels, helping you prioritize and guide refactoring decisions for technical debt and inconsistent quality issues.
Static analysis works across languages by analyzing files recursively and filtering non-code artifacts, gathering metrics on readability, structure, error handling, naming, and maintainability regardless of language.
The best way to assess readability and maintainability is to run an automated evaluation on your target path, which returns a structured report detailing findings with actionable severity levels.
Yes, you can perform targeted reviews of single files or entire directories with depth control and non-code filtering to identify and quantify code quality issues.
A code quality review evaluates readability, structure, error handling, naming conventions, and maintainability, producing structured results with severity levels to identify technical debt and guide refactoring.
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