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Get Started Free →Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like "collect infrastructure metrics", "monitor server performance", or "track system resources".
.claude/skills/jeremylongshore-collecting-infrastructure-metrics/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 50% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -17% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-23 | ✗→✓ | ▲ Improved | 16% | 0% |
| case-13 | ✓→✗ | ▼ Worse | -27% | 0% |
Collect and centralize infrastructure metrics across compute, storage, network, containers, load balancers, and databases using Prometheus, Datadog, or CloudWatch.
This skill automates the process of setting up infrastructure metrics collection. It identifies key performance indicators (KPIs) across various infrastructure layers, configures agents to collect these metrics, and assists in setting up central aggregation and visualization.
This skill activates when you need to:
User request: "Collect infrastructure metrics for my web server."
The skill will:
User request: "I'm seeing slow database queries. Can you help me monitor the database performance?"
The skill will:
This skill can be integrated with other plugins for deployment, configuration management, and alerting to provide a comprehensive infrastructure management solution. For example, it can be used with a deployment plugin to automatically configure metrics collection after deploying new infrastructure.
If metrics collection fails:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-24 | fail→fail | 15,962 | 15,217 | -5% | 1 | 1 | 0% | 3,663 | 4,294 | +17% | 0 | 0 | — |
case-01 | fail→pass | 17,720 | 23,439 | +32% | 1 | 1 | 0% | 3,778 | 5,653 | +50% | 0 | 0 | — |
case-02 | fail→fail | 20,694 | 20,649 | -0% | 1 | 1 | 0% | 4,085 | 5,269 | +29% | 0 | 0 | — |
case-03 | pass→pass | 22,713 | 20,205 | -11% | 1 | 1 | 0% | 4,865 | 5,530 | +14% | 0 | 0 | — |
case-04 | fail→pass | 6,146 | 1,593 | -74% | 1 | 1 | 0% | 1,128 | 937 | -17% | 0 | 0 | — |
case-05 | fail→fail | 13,785 | 8,643 | -37% | 1 | 1 | 0% | 2,383 | 2,333 | -2% | 0 | 0 | — |
case-06 | fail→fail | 13,426 | 13,746 | +2% | 1 | 1 | 0% | 2,535 | 3,285 | +30% | 0 | 0 | — |
case-07 | fail→fail | 14,705 | 18,883 | +28% | 1 | 1 | 0% | 3,406 | 5,168 | +52% | 0 | 0 | — |
case-08 | fail→fail | 9,859 | 9,749 | -1% | 1 | 1 | 0% | 1,962 | 2,992 | +52% | 0 | 0 | — |
case-09 | pass→pass | 12,566 | 5,046 | -60% | 1 | 1 | 0% | 2,247 | 1,583 | -30% | 0 | 0 | — |
case-10 | pass→pass | 13,053 | 10,609 | -19% | 1 | 1 | 0% | 2,201 | 2,705 | +23% | 0 | 0 | — |
case-11 | pass→pass | 12,671 | 11,392 | -10% | 1 | 1 | 0% | 2,218 | 2,709 | +22% | 0 | 0 | — |
case-12 | pass→pass | 16,976 | 15,310 | -10% | 1 | 1 | 0% | 2,818 | 3,453 | +23% | 0 | 0 | — |
case-13 | pass→fail | 13,737 | 6,039 | -56% | 1 | 1 | 0% | 2,518 | 1,832 | -27% | 0 | 0 | — |
case-14 | pass→pass | 12,202 | 15,065 | +23% | 1 | 1 | 0% | 2,462 | 3,894 | +58% | 0 | 0 | — |
case-15 | fail→pass | 15,928 | 14,983 | -6% | 1 | 1 | 0% | 3,191 | 3,888 | +22% | 0 | 0 | — |
case-16 | fail→fail | 15,018 | 16,707 | +11% | 1 | 1 | 0% | 3,025 | 4,473 | +48% | 0 | 0 | — |
case-17 | pass→pass | 14,162 | 14,575 | +3% | 1 | 1 | 0% | 2,916 | 3,924 | +35% | 0 | 0 | — |
case-18 | pass→pass | 16,563 | 16,323 | -1% | 1 | 1 | 0% | 2,960 | 3,377 | +14% | 0 | 0 | — |
case-19 | pass→pass | 13,978 | 8,803 | -37% | 1 | 1 | 0% | 2,486 | 2,255 | -9% | 0 | 0 | — |
case-20 | pass→pass | 8,492 | 8,100 | -5% | 1 | 1 | 0% | 1,369 | 2,137 | +56% | 0 | 0 | — |
case-21 | pass→pass | 6,050 | 5,990 | -1% | 1 | 1 | 0% | 1,107 | 1,831 | +65% | 0 | 0 | — |
case-22 | pass→pass | 14,286 | 13,945 | -2% | 1 | 1 | 0% | 2,426 | 3,146 | +30% | 0 | 0 | — |
case-23 | fail→pass | 13,470 | 12,876 | -4% | 1 | 1 | 0% | 2,945 | 3,415 | +16% | 0 | 0 | — |
case-25 | fail→fail | 6,920 | 7,338 | +6% | 1 | 1 | 0% | 1,433 | 2,410 | +68% | 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. The headline lift of +12 percentage points is the difference between those two pass rates over the 25 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.
Other measured skills in the registry, with their headline benchmark lift.