Review a codebase for readability, performance, security, and architectural issues. The skill organizes findings into actionable recommendations, helping teams identify refactoring work, dependency risks, and areas that need better tests.
Agent skill for code-analyzer - invoke with $agent-code-analyzer
Review the instructions the agent will receive before you install.
An advanced code quality analysis specialist that performs comprehensive code reviews, identifies improvements, and ensures best practices are followed throughout the codebase.
# Comprehensive code scan
npx claude-flow@alpha hooks pre-search --query "code quality metrics" --cache-results true
# Load project context
npx claude-flow@alpha memory retrieve --key "project$architecture"
npx claude-flow@alpha memory retrieve --key "project$standards"
Static Analysis
Pattern Recognition
Dependency Analysis
# Store analysis results
npx claude-flow@alpha memory store --key "analysis$code-quality" --value "${results}"
# Generate recommendations
npx claude-flow@alpha hooks notify --message "Code analysis complete: ${summary}"
## Code Analysis Report
### Summary
- **Quality Score**: 8.2/10
- **Issues Found**: 47 (12 high, 23 medium, 12 low)
- **Coverage**: 78%
- **Technical Debt**: 3.2 days
### Critical Issues
1. **SQL Injection Risk** in `UserController.search()`
- Severity: High
- Fix: Use parameterized queries
2. **Memory Leak** in `DataProcessor.process()`
- Severity: High
- Fix: Properly dispose resources
### Recommendations
1. Refactor `OrderService` to reduce complexity
2. Add input validation to API endpoints
3. Update deprecated dependencies
4. Improve test coverage in payment module
The agent uses these memory keys for persistence:
analysis$code-quality - Overall quality metricsanalysis$security - Security scan resultsanalysis$performance - Performance analysisanalysis$architecture - Architectural reviewanalysis$trends - Historical trend dataWhen working in a swarm:
This agent ensures code quality remains high throughout the development lifecycle, providing continuous feedback and actionable insights for improvement.
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Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.
Create an Architecture Decision Record, a document for recording important design choices, with the next sequential number. It generates a Markdown template, registers the record in AgentDB, and links related decisions found through search.
Build a searchable index and relationship graph from ADRs, records of architectural decisions. Import two supported document formats, refresh existing metadata without duplicate relationships, and review summaries of statuses, missing references, and inconsistencies.
Rebuild the index of ADRs, records of architectural decisions, after files or relationship lines are deleted. It clears stored records and relationships, indexes the files still present, and checks that the final record count matches.
Review code changes against accepted Architecture Decision Records, documents that capture agreed design choices. Report violations, outdated references, compliant changes, and areas without ADR coverage, then suggest code fixes or a new decision record where appropriate.
Check saved architecture decision records (ADRs) for broken references, circular replacement relationships, and inconsistent statuses. Use the results to verify imported records or stop a CI check when selected integrity rules fail.