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Get Started Free →Use when working with comprehensive review full review
.claude/skills/comprehensive-review-full-review/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-06 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 51% | 0% |
| case-22 | ✗→✓ | ▲ Improved | 102% | 0% |
| case-24 | ✗→✓ | ▲ Improved | 79% | 0% |
| case-03 | ✓→✓ | = Same ✓ | 16% | 0% |
resources/implementation-playbook.md.Orchestrate comprehensive multi-dimensional code review using specialized review agents
Extended thinking: This workflow performs an exhaustive code review by orchestrating multiple specialized agents in sequential phases. Each phase builds upon previous findings to create a comprehensive review that covers code quality, security, performance, testing, documentation, and best practices. The workflow integrates modern AI-assisted review tools, static analysis, security scanning, and automated quality metrics. Results are consolidated into actionable feedback with clear prioritization and remediation guidance. The phased approach ensures thorough coverage while maintaining efficiency through parallel agent execution where appropriate.]
Use Task tool to orchestrate quality and architecture agents in parallel:
Use Task tool with security and performance agents, incorporating Phase 1 findings:
Use Task tool for test and documentation quality assessment:
Use Task tool to verify framework-specific and industry best practices:
Compile all phase outputs into comprehensive review report:
Review is considered successful when:
Target: $ARGUMENTS
User request:
> Review the current change end to end for correctness, security, maintainability, performance, and missing tests.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 352,272 | 57,613 | -84% | 1 | 1 | 0% | 1,495 | 5,646 | +278% | 0 | 0 | — |
case-02 | fail→fail | 34,446 | 216,568 | +529% | 1 | 1 | 0% | 2,313 | 5,085 | +120% | 0 | 0 | — |
case-03 | pass→pass | 20,660 | 20,770 | +1% | 1 | 1 | 0% | 4,559 | 5,267 | +16% | 0 | 0 | — |
case-04 | pass→pass | 9,556 | 9,663 | +1% | 1 | 1 | 0% | 542 | 2,541 | +369% | 0 | 0 | — |
case-05 | pass→pass | 24,969 | 28,509 | +14% | 1 | 1 | 0% | 4,035 | 7,532 | +87% | 0 | 0 | — |
case-06 | fail→pass | 31,452 | 25,159 | -20% | 1 | 1 | 0% | 4,130 | 5,390 | +31% | 0 | 0 | — |
case-07 | fail→fail | 69,788 | 40,623 | -42% | 1 | 1 | 0% | 3,932 | 4,018 | +2% | 0 | 0 | — |
case-08 | fail→fail | 76,086 | 17,429 | -77% | 1 | 1 | 0% | 4,695 | 2,391 | -49% | 0 | 0 | — |
case-09 | fail→fail | 60,214 | 31,838 | -47% | 1 | 1 | 0% | 2,063 | 4,981 | +141% | 0 | 0 | — |
case-10 | fail→fail | 33,947 | 14,152 | -58% | 1 | 1 | 0% | 4,987 | 2,358 | -53% | 0 | 0 | — |
case-11 | fail→fail | 31,942 | 37,127 | +16% | 1 | 1 | 0% | 4,368 | 3,847 | -12% | 0 | 0 | — |
case-12 | fail→fail | 56,519 | 46,254 | -18% | 1 | 1 | 0% | 1,894 | 5,231 | +176% | 0 | 0 | — |
case-13 | fail→fail | 16,334 | 44,297 | +171% | 1 | 1 | 0% | 1,808 | 3,119 | +73% | 0 | 0 | — |
case-14 | fail→fail | 30,669 | 17,217 | -44% | 1 | 1 | 0% | 3,531 | 2,192 | -38% | 0 | 0 | — |
case-15 | fail→fail | 35,060 | 37,224 | +6% | 1 | 1 | 0% | 1,034 | 3,507 | +239% | 0 | 0 | — |
case-16 | fail→fail | 58,087 | 70,168 | +21% | 1 | 1 | 0% | 8,215 | 7,089 | -14% | 0 | 0 | — |
case-17 | fail→fail | 60,975 | 12,770 | -79% | 1 | 1 | 0% | 3,701 | 2,520 | -32% | 0 | 0 | — |
case-18 | fail→fail | 42,876 | 20,178 | -53% | 1 | 1 | 0% | 6,245 | 2,747 | -56% | 0 | 0 | — |
case-19 | fail→fail | 39,604 | 34,819 | -12% | 1 | 1 | 0% | 3,222 | 6,633 | +106% | 0 | 0 | — |
case-20 | fail→fail | 50,956 | 33,625 | -34% | 1 | 1 | 0% | 8,191 | 5,662 | -31% | 0 | 0 | — |
case-21 | fail→pass | 20,089 | 18,748 | -7% | 1 | 1 | 0% | 2,227 | 3,370 | +51% | 0 | 0 | — |
case-22 | fail→pass | 15,986 | 13,378 | -16% | 1 | 1 | 0% | 1,607 | 3,252 | +102% | 0 | 0 | — |
case-23 | fail→fail | 15,595 | 14,039 | -10% | 1 | 1 | 0% | 1,698 | 3,344 | +97% | 0 | 0 | — |
case-24 | fail→pass | 13,136 | 10,480 | -20% | 1 | 1 | 0% | 1,584 | 2,837 | +79% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 24 cases were attempted, and 20 counted toward the lift figure. The other 4 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +17 percentage points is the difference between those two pass rates over the 20 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 7/28/2026 | +65% |
Other measured skills in the registry, with their headline benchmark lift.