name: analyzer description: > Comprehensive codebase analysis methodology for existing projects. Use when onboarding to a new codebase, doing periodic health checks, or before refactoring.

Kodo Analyzer Skill

Comprehensive codebase analysis methodology for existing projects.

Purpose

The Kodo Analyzer system provides systematic codebase analysis to:

• Infer and document existing features
• Identify gaps, bugs, and security issues
• Calculate health scores per category
• Generate actionable recommendations
• Track health trends over time

When to Use

• New project onboarding (existing codebase)
• Periodic health checks
• Pre-refactoring assessment
• Security audits
• Documentation generation
• Before major releases

Architecture

+-------------------------------------+
|     /kodo analyze Command           |
+-----------------+-------------------+
                  |
+-----------------v-------------------+
|   kodo-codebase-analyzer (Main)     |
|   - Orchestrates sub-agents         |
|   - Aggregates results              |
|   - Calculates health scores        |
+-----------------+-------------------+
                  |
    +-------------+-------------+
    |             |             |
+---v---+   +----v----+   +---v---+
| Group |   |  Group  |   | Group |
|   1   |   |    2    |   |   3   |
+---+---+   +----+----+   +---+---+
    |            |            |
+---v-------+ +--v--------+ +v------------+
| database  | | deps      | | security    |
| api       | | analytics | | performance |
| frontend  | | docs      | |             |
+-----------+ +-----------+ +-------------+

Analysis Categories

1. Database Analysis

• Schema quality and relationships
• RLS policy coverage
• Index optimization
• Unused table/column detection
• Migration health

2. API Analysis

• Endpoint inventory
• Authentication coverage
• Error handling patterns
• Edge function candidates
• Documentation gaps

3. Frontend Analysis

• Component inventory
• Accessibility compliance
• State management patterns
• Performance concerns
• UI consistency

4. Dependencies Analysis

• Outdated packages
• Security vulnerabilities
• Better alternatives
• Unused dependencies
• License compliance

5. Analytics Analysis

• Event coverage
• Naming consistency
• Feature flag usage
• Funnel completeness
• User identification

6. Documentation Analysis

• Coverage assessment
• Code-doc accuracy
• Staleness detection
• Quality metrics

7. Security Analysis

• Authentication flows
• Authorization patterns
• Input validation
• Secrets management
• CORS configuration

8. Performance Analysis

• Database query optimization
• Bundle size analysis
• Caching strategies
• Render performance
• Asset optimization

Output Structure

./docs/analysis/
├── summary.md           # Executive summary
├── database/
│   └── report.md
├── api/
│   └── report.md
├── frontend/
│   └── report.md
├── dependencies/
│   └── report.md
├── analytics/
│   └── report.md
├── documentation/
│   └── report.md
├── security/
│   └── report.md
└── performance/
    └── report.md

Health Scoring

See references/health-scoring.md for detailed methodology.

Issue Classification

See references/issue-categories.md for severity definitions.

• Critical: Security vulnerabilities, data loss risks
• High: Bugs, missing auth, accessibility failures
• Medium: Performance issues, code quality
• Low: Style inconsistencies, minor improvements

Workflow

Step 1: Initialize

kodo analyze              # Standard analysis
kodo analyze --deep       # Deep mode: extract full content + learnings from docs/
kodo analyze --deep --auto  # Auto-accept all findings

Deep Mode (--deep): In addition to standard analysis, extracts learnings from documentation:

• Scans docs/ directory recursively
• Extracts rules, decisions, tech-stack choices, workflows, domain terms, conventions
• Creates context entries in .kodo/context-tree/
• Creates learnings in .kodo/learnings/ (grouped by category)
• Assigns HIGH confidence to your design docs (docs/plans/), MEDIUM to inherited docs

Step 2: Review Summary

Check overall health score and critical issues.

Step 3: Drill Down

Review individual category reports in ./docs/analysis/.

Step 4: Prioritize

Use the prioritization matrix:

• High Impact + Low Effort = Do First
• Critical issues = Immediate attention

Step 5: Track Progress

# Store in context for trend tracking
kodo curate --category analysis --title "Health Report $(date)"

Step 6: Re-analyze

Run periodic analyses to track improvement:

kodo analyze --quick  # Weekly
kodo analyze          # Monthly

Integration

Kodo Context Storage

Analysis results are stored in .kodo/context/analysis/:

# Query previous analyses
kodo query "health score"
kodo query "security issues"
kodo query "performance bottlenecks"

Feature Documentation

Analysis can infer features and populate ./docs/features/:

kodo analyze  # Also generates feature docs

Configuration

Set analysis preferences in .kodo/config.json:

{
  "analyzer": {
    "analyzers": {
      "database": { "enabled": true },
      "api": { "enabled": true },
      "frontend": { "enabled": true },
      "dependencies": { "enabled": true },
      "analytics": { "enabled": true },
      "documentation": { "enabled": true },
      "security": { "enabled": true },
      "performance": { "enabled": true }
    },
    "output": {
      "directory": "./docs/analysis",
      "populateFeatureDocs": true
    },
    "thresholds": {
      "critical": 50,
      "warning": 70
    }
  }
}

Best Practices

1. Run full analysis on new projects - Establish baseline
2. Run quick analysis weekly - Catch regressions
3. Fix critical issues immediately - Security first
4. Review recommendations - Not all apply
5. Track health trends - Compare over time
6. Focus on high-impact fixes - Use prioritization matrix

Agent Model Assignments

Related Commands

• /kodo analyze - Run analysis
• /kodo analyze --deep - Run analysis with full content extraction + learnings
• /kodo extract <file> - Extract learnings from a single file
• /kodo curate - Store analysis in context
• /kodo query - Search previous analyses
• /kodo reflect - Capture learnings from analysis

References

• references/health-scoring.md - Score calculation methodology
• references/issue-categories.md - Issue severity definitions
• references/analysis-templates.md - Output templates