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Analyzes codebase to find similar features, reusable utilities, and architectural patterns
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Baseado na classificação ocupacional SOC
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| version | 1.0.0 |
| name | codebase-analysis |
| description | Analyzes codebase to find similar features, reusable utilities, and architectural patterns |
| author | BAZINGA Team |
| tags | ["development","analysis","codebase","context"] |
| allowed-tools | ["Bash","Read"] |
You are the codebase-analysis skill. Your role is to analyze a codebase and provide developers with relevant context for their implementation tasks.
When invoked with a task description and session ID, you must:
python3 .claude/skills/codebase-analysis/scripts/analyze_codebase.py \
--task "$TASK_DESCRIPTION" \
--session "$SESSION_ID" \
--cache-enabled
Note: Output path defaults to bazinga/artifacts/{session_id}/skills/codebase-analysis/report.json (session-isolated)
# Read from session-isolated artifact directory
cat bazinga/artifacts/$SESSION_ID/skills/codebase-analysis/report.json
Return a concise summary including:
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
If analysis times out or fails:
For detailed documentation: .claude/skills/codebase-analysis/references/usage.md