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Get Started Free →Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 62% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 36% | 0% |
Patterns for coordinating parallel code reviews across multiple quality dimensions, deduplicating findings, calibrating severity, and producing consolidated reports.
| Dimension | Focus | When to Include | | ----------------- | --------------------------------------- | ------------------------------------------- | | Security | Vulnerabilities, auth, input validation | Always for code handling user input or auth | | Performance | Query efficiency, memory, caching | When changing data access or hot paths | | Architecture | SOLID, coupling, patterns | For structural changes or new modules | | Testing | Coverage, quality, edge cases | When adding new functionality | | Accessibility | WCAG, ARIA, keyboard nav | For UI/frontend changes |
| Scenario | Dimensions | | ---------------------- | -------------------------------------------- | | API endpoint changes | Security, Performance, Architecture | | Frontend component | Architecture, Testing, Accessibility | | Database migration | Performance, Architecture | | Authentication changes | Security, Testing | | Full feature review | Security, Performance, Architecture, Testing |
When multiple reviewers report issues at the same location:
For each finding in all reviewer reports:
1. Check if another finding references the same file:line
2. If yes, check if they describe the same issue
3. If same issue: merge, keeping the more detailed description
4. If different issue: keep both, tag as "co-located"
5. Use highest severity among merged findings| Severity | Impact | Likelihood | Examples | | ------------ | --------------------------------------------- | ---------------------- | -------------------------------------------- | | Critical | Data loss, security breach, complete failure | Certain or very likely | SQL injection, auth bypass, data corruption | | High | Significant functionality impact, degradation | Likely | Memory leak, missing validation, broken flow | | Medium | Partial impact, workaround exists | Possible | N+1 query, missing edge case, unclear error | | Low | Minimal impact, cosmetic | Unlikely | Style issue, minor optimization, naming |
markdown## Code Review Report **Target**: {files/PR/directory} **Reviewers**: {dimension-1}, {dimension-2}, {dimension-3} **Date**: {date} **Files Reviewed**: {count} ### Critical Findings ({count}) #### [CR-001] {Title} **Location**: `{file}:{line}` **Dimension**: {Security/Performance/etc.} **Description**: {what was found} **Impact**: {what could happen} **Fix**: {recommended remediation} ### High Findings ({count}) ... ### Medium Findings ({count}) ... ### Low Findings ({count}) ... ### Summary | Dimension | Critical | High | Medium | Low | Total | | ------------ | -------- | ----- | ------ | ----- | ------ | | Security | 1 | 2 | 3 | 0 | 6 | | Performance | 0 | 1 | 4 | 2 | 7 | | Architecture | 0 | 0 | 2 | 3 | 5 | | **Total** | **1** | **3** | **9** | **5** | **18** | ### Recommendation {Overall assessment and prioritized action items}
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