Analyze codebases to generate AI-friendly architecture metrics reports.
npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill arch-measure
Please help me install this Agent Skill. Skill: arch-measure Source: https://github.com/ZTE-AICloud/Co-OmniSpec/tree/main/skills/arch-measure Command: npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill arch-measure
实现对代码库的 AI 友好架构度量，生成跨维度的聚合报告，帮助团队快速评估代码质量与架构健康。
在代码库上执行 /arch-measure 以生成 AI 友好架构度量报告。
High-intent search queries and answers about installing and using this skill.
To measure AI-friendly architecture, you can analyze your codebase across dimensions like responsibilities, components, and dependencies to generate a consolidated metrics report. This evaluates code quality and architecture health.
AI-friendly architecture measurement evaluates code structure to ensure AI tools can efficiently understand and assist with the codebase. It helps teams quickly assess architecture health and identify areas for improvement.
Yes, you can execute architecture metrics selectively by specific dimension or skill. This flexible execution supports parameterized project paths and a default mode with enabled metrics.
You generate a cross-project architecture report by applying automated metrics across responsibilities, modules, and dependencies. This produces a panoramic view for easy comparison, diagnosis, and improvement.
Yes, architecture measurement runs without external dependencies. It uses a default mode with enabled metrics to analyze the codebase directly and produce the consolidated architecture report.
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