Comprehensive codebase analysis and steering context generation for AI agents. Automatically detects project type and generates architecture documentation, design patterns, quality reports, and AI-ready context files.
7 commands · 20 agents
Comprehensive code quality automation with linting, testing, security scanning, and pre-commit hooks. Enforces coding standards, catches issues before commit, and provides detailed quality reports.
Plugin code-quality from marketplace aditi-code-plugins in varaku1012/aditi.code. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
/code-quality:quality-checkRun comprehensive code quality checks - linting, type checking, security scan
/code-quality:quality-fixAuto-fix code quality issues - formatting, imports, simple errors
/code-quality:quality-reportGenerate detailed code quality report with metrics and trends
/code-quality:test-coverageAnalyze test coverage with detailed reports and gap identification
/code-quality:test-runRun tests with intelligent filtering and parallel execution
code-linterCode linting and style enforcement specialist. Analyzes code for style violations, best practices, and suggests fixes. Use PROACTIVELY when reviewing or writing code.
security-scannerSecurity vulnerability scanner. Identifies security issues, injection risks, credential exposure, and unsafe patterns. Use PROACTIVELY when reviewing code handling user input, APIs, or secrets.
test-generatorAutomated test generation specialist. Creates unit tests, integration tests, and test fixtures for Python code. Use when adding tests for new or existing code.
echo '⚡ Code modified - consider running /quality-check'
echo '🔍 Pre-commit: Checking for common issues...'
Comprehensive codebase analysis and steering context generation for AI agents. Automatically detects project type and generates architecture documentation, design patterns, quality reports, and AI-ready context files.
7 commands · 20 agents
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