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Get Started Free →Portfolio health dashboard and risk matrix analysis. Usage: /project-health <dashboard|risk> [options]
.claude/skills/alirezarezvani-project-health/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 394% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -60% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -45% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -67% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -59% | 0% |
Generate portfolio health dashboards and risk matrices for project oversight.
/project-health dashboard <project_data.json> Portfolio health dashboard
/project-health risk <risk_data.json> Risk matrix analysisjson{ "project_name": "Platform Rewrite", "schedule": {"planned_end": "2026-06-30", "projected_end": "2026-07-15", "milestones_hit": 4, "milestones_total": 6}, "budget": {"allocated": 500000, "spent": 320000, "forecast": 520000}, "scope": {"features_planned": 40, "features_delivered": 28, "change_requests": 3}, "quality": {"defect_rate": 0.05, "test_coverage": 0.82}, "risks": [{"description": "Key engineer leaving", "probability": 0.3, "impact": 0.8}] }
/project-health dashboard portfolio-q2.json
/project-health risk risk-register.json
/project-health dashboard portfolio-q2.json --format jsonproject-management/skills/senior-pm/scripts/project_health_dashboard.py — Health dashboard (<data_file> [--format text|json])project-management/skills/senior-pm/scripts/risk_matrix_analyzer.py — Risk matrix analyzer (<data_file> [--format text|json])> project-management/skills/senior-pm/SKILL.md
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-07 | pass→pass | 4,458 | 3,384 | -24% | 1 | 1 | 0% | 1,114 | 1,168 | +5% | 0 | 0 | — |
case-01 | fail→fail | 12,441 | 4,951 | -60% | 1 | 1 | 0% | 2,246 | 687 | -69% | 0 | 0 | — |
case-02 | fail→pass | 3,064 | 11,262 | +268% | 1 | 1 | 0% | 545 | 2,694 | +394% | 0 | 0 | — |
case-03 | fail→fail | 3,079 | 11,614 | +277% | 1 | 1 | 0% | 474 | 2,642 | +457% | 0 | 0 | — |
case-04 | pass→pass | 10,335 | 7,242 | -30% | 1 | 1 | 0% | 2,071 | 1,815 | -12% | 0 | 0 | — |
case-05 | pass→pass | 12,147 | 8,285 | -32% | 1 | 1 | 0% | 2,136 | 1,779 | -17% | 0 | 0 | — |
case-06 | pass→pass | 16,658 | 18,364 | +10% | 1 | 1 | 0% | 3,113 | 3,977 | +28% | 0 | 0 | — |
case-08 | fail→pass | 13,927 | 4,091 | -71% | 1 | 1 | 0% | 3,264 | 1,299 | -60% | 0 | 0 | — |
case-09 | fail→fail | 1,872 | 3,924 | +110% | 1 | 1 | 0% | 278 | 973 | +250% | 0 | 0 | — |
case-10 | fail→fail | 11,625 | 15,544 | +34% | 1 | 1 | 0% | 2,022 | 3,115 | +54% | 0 | 0 | — |
case-11 | fail→pass | 6,979 | 3,776 | -46% | 1 | 1 | 0% | 1,366 | 756 | -45% | 0 | 0 | — |
case-12 | fail→pass | 8,877 | 2,799 | -68% | 1 | 1 | 0% | 1,933 | 642 | -67% | 0 | 0 | — |
case-13 | fail→pass | 11,567 | 2,465 | -79% | 1 | 1 | 0% | 2,256 | 928 | -59% | 0 | 0 | — |
case-14 | fail→pass | 8,393 | 10,105 | +20% | 1 | 1 | 0% | 1,659 | 2,289 | +38% | 0 | 0 | — |
case-15 | fail→fail | 15,170 | 4,788 | -68% | 1 | 1 | 0% | 3,548 | 699 | -80% | 0 | 0 | — |
case-16 | fail→fail | 7,190 | 4,747 | -34% | 1 | 1 | 0% | 1,530 | 635 | -58% | 0 | 0 | — |
case-17 | fail→pass | 10,649 | 2,688 | -75% | 1 | 1 | 0% | 2,347 | 963 | -59% | 0 | 0 | — |
case-18 | pass→pass | 10,052 | 2,465 | -75% | 1 | 1 | 0% | 2,071 | 928 | -55% | 0 | 0 | — |
case-19 | fail→pass | 8,393 | 2,845 | -66% | 1 | 1 | 0% | 1,461 | 1,006 | -31% | 0 | 0 | — |
case-20 | fail→pass | 12,369 | 5,058 | -59% | 1 | 1 | 0% | 2,268 | 1,381 | -39% | 0 | 0 | — |
case-21 | pass→pass | 12,421 | 3,028 | -76% | 1 | 1 | 0% | 2,410 | 949 | -61% | 0 | 0 | — |
case-22 | fail→fail | 11,402 | 13,264 | +16% | 1 | 1 | 0% | 1,983 | 2,873 | +45% | 0 | 0 | — |
case-23 | fail→pass | 4,753 | 1,344 | -72% | 1 | 1 | 0% | 792 | 620 | -22% | 0 | 0 | — |
case-24 | fail→pass | 6,970 | 1,767 | -75% | 1 | 1 | 0% | 1,252 | 660 | -47% | 0 | 0 | — |
case-25 | fail→pass | 4,307 | 1,417 | -67% | 1 | 1 | 0% | 726 | 657 | -10% | 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. 25 cases were attempted, and 23 counted toward the lift figure. The other 2 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 +48 percentage points is the difference between those two pass rates over the 23 comparable cases.
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.
Other measured skills in the registry, with their headline benchmark lift.