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Get Started Free →Use when adding service-wide Spring Boot 3 Actuator, Micrometer metrics, distributed tracing, OpenTelemetry export, structured logging, health probes, dashboards, or alerts. Combine with ai-observability only for Spring AI-specific token, prompt, and model telemetry.
.claude/skills/rrezartprebreza-production-observability/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 5% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 0% | 0% |
| case-16 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-24 | ✗→✓ | ▲ Improved | -18% | 0% |
Instrument user-visible operations and operational boundaries, not every method.
spring-boot-starter-opentelemetry and Boot'smanagement.opentelemetry.tracing.export.otlp.* properties.
orders.create.ContextPropagatingTaskDecorator for async executor boundaries.@Observed.examples/good-observation.java, examples/good-observability.yml, andexamples/bad-observation.java.
@Async work - register context propagation explicitly.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 19,898 | 18,092 | -9% | 1 | 1 | 0% | 3,654 | 3,820 | +5% | 0 | 0 | — |
case-02 | fail→fail | 17,087 | 14,104 | -17% | 1 | 1 | 0% | 2,784 | 2,996 | +8% | 0 | 0 | — |
case-03 | pass→pass | 17,787 | 9,705 | -45% | 1 | 1 | 0% | 2,872 | 2,076 | -28% | 0 | 0 | — |
case-04 | pass→pass | 14,152 | 11,331 | -20% | 1 | 1 | 0% | 2,732 | 2,433 | -11% | 0 | 0 | — |
case-05 | pass→pass | 15,841 | 10,047 | -37% | 1 | 1 | 0% | 2,255 | 2,131 | -5% | 0 | 0 | — |
case-06 | pass→pass | 16,357 | 5,822 | -64% | 1 | 1 | 0% | 2,389 | 1,404 | -41% | 0 | 0 | — |
case-07 | pass→pass | 17,378 | 10,035 | -42% | 1 | 1 | 0% | 2,822 | 2,426 | -14% | 0 | 0 | — |
case-08 | pass→pass | 13,114 | 9,221 | -30% | 1 | 1 | 0% | 2,057 | 2,057 | 0% | 0 | 0 | — |
case-09 | pass→pass | 15,182 | 9,191 | -39% | 1 | 1 | 0% | 2,411 | 1,885 | -22% | 0 | 0 | — |
case-10 | fail→pass | 17,126 | 12,276 | -28% | 1 | 1 | 0% | 2,417 | 2,220 | -8% | 0 | 0 | — |
case-11 | pass→pass | 11,424 | 5,680 | -50% | 1 | 1 | 0% | 1,599 | 1,285 | -20% | 0 | 0 | — |
case-12 | pass→pass | 20,763 | 13,440 | -35% | 1 | 1 | 0% | 3,332 | 2,894 | -13% | 0 | 0 | — |
case-13 | fail→pass | 11,797 | 8,458 | -28% | 1 | 1 | 0% | 2,113 | 2,117 | +0% | 0 | 0 | — |
case-14 | pass→pass | 13,895 | 11,714 | -16% | 1 | 1 | 0% | 2,580 | 2,580 | 0% | 0 | 0 | — |
case-15 | pass→pass | 16,458 | 13,499 | -18% | 1 | 1 | 0% | 2,808 | 3,052 | +9% | 0 | 0 | — |
case-16 | fail→pass | 12,927 | 11,058 | -14% | 1 | 1 | 0% | 2,210 | 2,080 | -6% | 0 | 0 | — |
case-17 | pass→pass | 10,910 | 11,139 | +2% | 1 | 1 | 0% | 1,964 | 2,783 | +42% | 0 | 0 | — |
case-18 | pass→pass | 14,145 | 9,410 | -33% | 1 | 1 | 0% | 2,574 | 2,225 | -14% | 0 | 0 | — |
case-19 | pass→pass | 14,394 | 13,658 | -5% | 1 | 1 | 0% | 2,377 | 2,680 | +13% | 0 | 0 | — |
case-20 | pass→pass | 14,021 | 12,174 | -13% | 1 | 1 | 0% | 2,631 | 2,342 | -11% | 0 | 0 | — |
case-21 | pass→pass | 12,973 | 8,010 | -38% | 1 | 1 | 0% | 2,112 | 1,955 | -7% | 0 | 0 | — |
case-22 | pass→pass | 10,773 | 7,669 | -29% | 1 | 1 | 0% | 1,790 | 1,723 | -4% | 0 | 0 | — |
case-23 | pass→pass | 16,526 | 7,156 | -57% | 1 | 1 | 0% | 2,581 | 1,528 | -41% | 0 | 0 | — |
case-24 | fail→pass | 15,661 | 10,949 | -30% | 1 | 1 | 0% | 2,627 | 2,150 | -18% | 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. The headline lift of +21 percentage points is the difference between those two pass rates over the 24 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.