code-quality-analyzer

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Static code analysis, technical debt assessment, engineering velocity metrics

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Code Quality Analyzer ## Overview The Code Quality Analyzer skill provides detailed code-level analysis for technical due diligence. It performs static code analysis, assesses technical debt, and evaluates engineering team velocity to understand code health and development productivity. ## Capabilities ### Static Code Analysis - Run automated code quality checks - Identify code smells and anti-patterns - Measure code complexity metrics - Detect potential bugs and vulnerabilities ### Technical Debt Assessment - Quantify technical debt backlog - Identify high-priority refactoring needs - Assess test coverage and quality - Evaluate documentation completeness ### Engineering Velocity Metrics - Measure deployment frequency - Track lead time for changes - Analyze cycle time and throughput - Assess sprint velocity trends ### Code Health Indicators - Analyze code churn patterns - Review pull request metrics - Assess code review practices - Evaluate dependency management ## Usage ### Analyze Code Quality ``` Input: Repository access, analysis parameters Process: Run static analysis, aggregate metrics Output: Code quality report, issue summary ``` ### Assess Technical Debt ``` Input: Codebase access, debt categorization Process: Inventory debt, estimate remediation Output: Technical debt assessment, prioritization ``` ### Measure Engineering Velocity ``` Input: Git history, project management data Process: Calculate velocity metrics Output: Velocity report, trend analysis ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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