Analyze codebase text for grammar, spelling, clarity, and consistency issues.
npx skills add https://github.com/nashgao/mqtt-client --skill code-scan-nashgao
Please help me install this Agent Skill. Skill: code-scan Source: https://github.com/nashgao/mqtt-client/tree/main/.claude/skills/code/scan Command: npx skills add https://github.com/nashgao/mqtt-client --skill code-scan-nashgao
This Skill addresses the critical need for thorough text quality analysis across an entire codebase, ensuring clarity, correctness, and consistency in all textual elements.
Run a comprehensive text analysis on the current project directory.
High-intent search queries and answers about installing and using this skill.
You can scan for spelling and grammar errors by running a deep multi-agent text analysis across your entire codebase, which categorizes identified clarity and consistency issues by severity to generate an actionable report.
Codebase text analysis is a deep multi-agent scan of comments, identifiers, and string literals for grammar, spelling, clarity, and consistency. It improves code quality by generating a detailed, actionable report to fix misleading text.
Yes, you can check variable names and string literals for clarity and consistency. The text analysis scans these elements across the entire codebase to identify grammar and spelling issues, categorizing them by severity for action.
Identified code text issues are prioritized by categorizing them into critical, high, medium, and low severity levels. This classification helps you focus on the most impactful clarity and consistency problems first.
Yes, the text analysis tool works without external dependencies. It uses internal scripts to perform a comprehensive multi-agent scan of your project directory, ensuring a self-contained environment for analyzing code text quality.
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