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182-java-observability-metrics-micrometer

Use when you need to implement or improve Java metrics observability with Micrometer — including meter design, naming/tag conventions, cardinality control, timers/counters/gauges/distribution summaries, percentiles/histograms, Actuator/Prometheus integration, and metrics validation through tests. This should trigger for requests such as Improve metrics; Apply Micrometer; Add metrics observability; Refactor Micrometer instrumentation; Add Micrometer timers counters or gauges to Java services. Part of Plinth Toolkit

66

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

63%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured overview body with excellent progressive disclosure and a validation-backed workflow, but it is held back by redundant restatements of its own scope and by workflow steps that remain high-level rather than executable, deferring nearly all actionable detail to the reference file.

Suggestions

Collapse the intro paragraph, the 'What is covered' bullet list, and the 'When to use this skill' section into a single scope statement — the three near-duplicate restatements cost tokens without adding guidance.

Add one short inline meter-selection snippet (e.g., a 5-line Micrometer registry example showing Counter vs Timer vs Gauge) so the body's step 2 is executable rather than purely conceptual.

Extend the VERIFY step with a brief feedback loop — what to do when `mvn clean verify` fails (fix, re-run) — to move workflow clarity from checkpoint-present to checkpoint-with-recovery.

DimensionReasoningScore

Conciseness

The scope is stated three times over — the intro paragraph ("Implement effective Java metrics instrumentation..."), the seven "What is covered in this Skill?" bullets, and the "When to use this skill" list that repeats the description's triggers verbatim — so it goes beyond the "minor instances" of the 4 anchor into "could be tightened" territory.

3 / 5

Actionability

Concrete elements exist ("Run `./mvnw clean verify`", "Never tag metrics with unbounded values (userId, UUID, raw URL, full exception message)", and a pointer to the real references file), but the workflow steps stay abstract ("Apply Counter/Timer/Gauge/DistributionSummary/LongTaskTimer where appropriate") with no inline code, matching the 3 anchor's "some concrete guidance but incomplete; missing key details" rather than 4's mostly-executable standard.

3 / 5

Workflow Clarity

The four-step workflow is clearly sequenced and ends with an explicit validation checkpoint ("VERIFY: Run `./mvnw clean verify` or `mvn clean verify` after changes"), fitting the 4 anchor. It falls short of 5 because there is no error-recovery feedback loop (validate → fix → re-validate) spelled out.

4 / 5

Progressive Disclosure

The body is a clean overview that defers all detail to a single, well-signaled, one-level-deep reference ("For detailed guidance, examples, and constraints, see [references/182-java-observability-metrics-micrometer.md]") which exists and itself contains no further nested references — matching the 5 anchor's clear overview with easy navigation.

5 / 5

Total

15

/

20

Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: comprehensive capability enumeration, explicit natural-language trigger phrases, and a well-defined niche. The only flaw is second-person voice ("Use when you need to"), which the rubric penalizes on specificity.

DimensionReasoningScore

Specificity

"meter design, naming/tag conventions, cardinality control, timers/counters/gauges/distribution summaries, percentiles/histograms, Actuator/Prometheus integration, and metrics validation through tests" is comprehensive concrete coverage matching the 5 anchor, but the second-person phrasing "Use when you need to implement" triggers the rubric's 1-point specificity penalty, landing it at 4.

4 / 5

Completeness

It explicitly answers both what ("implement or improve Java metrics observability with Micrometer — including...") and when ("Use when you need to... This should trigger for requests such as..."), matching the 5 anchor's requirement of concrete trigger phrases paired with a clear capability list.

5 / 5

Trigger Term Quality

Natural user phrasings are explicitly enumerated — "Improve metrics; Apply Micrometer; Add metrics observability; Refactor Micrometer instrumentation; Add Micrometer timers counters or gauges to Java services" — plus synonyms (observability, instrumentation, Prometheus, Actuator), giving comprehensive natural-term coverage. It sits squarely at the 5 anchor, not 4, since no common variation a user would say is missing.

5 / 5

Distinctiveness Conflict Risk

"Java metrics observability with Micrometer" is a clear niche with tool- and language-specific triggers, making wrong-skill activation unlikely. It is at the 5 anchor rather than 4 because the Micrometer/Java scoping leaves minimal overlap even with adjacent observability skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

jabrena/plinth

Path

skills/182-java-observability-metrics-micrometer/SKILL.md

Reviewed

Table of Contents

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