Codebase Analysis

Step 2: Read Analysis Results

# Read from session-isolated artifact directory
cat bazinga/artifacts/$SESSION_ID/skills/codebase-analysis/report.json

Step 3: Return Actionable Summary

Return a concise summary including:

• Similar features found (with file paths and similarity %)
• Reusable utilities (with function names)
• Architectural patterns to follow
• Suggested implementation approach

Example Output Format

CODEBASE ANALYSIS COMPLETE

## Similar Features Found
- User registration (auth/register.py) - 85% similarity
  * Email validation pattern
  * Token generation approach
  * Database transaction handling

## Reusable Utilities
- EmailService (utils/email.py) - send_email(), validate_email()
- TokenGenerator (utils/tokens.py) - generate_token(), verify_token()

## Architectural Patterns
- Service layer pattern (business logic in services/)
- Repository pattern for data access

## Suggested Implementation Approach
1. Create PasswordResetService in services/
2. Reuse EmailService for sending reset emails
3. Use TokenGenerator for reset tokens
4. Follow transaction pattern from register.py

Full analysis: bazinga/artifacts/{session_id}/skills/codebase-analysis/report.json

Error Handling

If analysis times out or fails:

1. Check for partial results in output file
2. Return available findings with warning
3. Suggest manual exploration as fallback

For detailed documentation: .claude/skills/codebase-analysis/references/usage.md