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assess code quality contributions by developer
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orchestrate comprehensive repository assessment using parallel specialist analysis
assess AI tool adoption and usage patterns in the team
analyze code review participation and quality by developer
orchestrate comprehensive team assessment using parallel specialist analysis
| name | assess-team-code-quality |
| description | assess code quality contributions by developer |
Analyze code quality patterns by developer — who writes maintainable code vs technical debt.
Look for indicators in git history:
Where possible, attribute code patterns:
Assess:
Save to: docs/assessment/team-<YYYY-MM-DD>-code-quality.md
# Team Assessment: Code Quality
## Author Code Quality Profiles
| Author | Avg PR Size | Refactor % | Technical Debt | Quality Score |
|--------|-------------|------------|----------------|---------------|
| ... | N | X% | Low/Med/High | A-F |
## Quality Distribution
[Analysis of how quality is distributed across team]
## Key Findings
1. [Finding with evidence]
2. [Finding with evidence]
## Score: A-F (one line rationale)
## Recommendations
1. [Priority]
2. [Secondary]
Return max 10 lines: