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distributed-tracing

Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.

68

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The body is highly actionable with comprehensive executable examples, but it is monolithic and conciseness suffers from a redundant concept glossary and generic filler instructions. It also lacks explicit validation checkpoints for its multi-step deployment workflows.

Suggestions

Remove the 'Key Components' concept glossary and generic 'Instructions' lines ('Apply relevant best practices and validate outcomes', 'Provide actionable steps and verification') that restate what Claude already knows.

Add explicit validation checkpoints after each deployment step (e.g., verify Jaeger UI is reachable at :16686, confirm traces are exported) with a validate-then-fix-then-retry loop for the instrumentation/deployment workflow.

Split per-language instrumentation and Tempo setup into separate reference files linked from the main body so the SKILL.md acts as an overview with one-level-deep navigation.

DimensionReasoningScore

Conciseness

The body is mostly efficient executable code, but includes a concept glossary Claude already knows ('Trace - End-to-end request journey', 'Span - Single operation within a trace') and generic filler ('Apply relevant best practices and validate outcomes') that could be trimmed, so it sits at the mostly-efficient-but-could-tighten anchor rather than the lean anchor at 3.

2 / 3

Actionability

Provides fully executable, copy-paste-ready guidance across Kubernetes manifests, Docker Compose, and OpenTelemetry instrumentation in three languages plus sampling configs and Jaeger queries, matching the executable-examples anchor; the Node snippet's missing 'trace' import is a minor blemish but does not drop it below 3.

3 / 3

Workflow Clarity

It is organized as a reference catalog with a logical order and a troubleshooting section, but the 'Instructions' section is generic ('Clarify goals', 'Apply relevant best practices') and there are no explicit validation checkpoints for the multi-step deployment operations, capping it at 2 per the validation-checkpoint guideline.

2 / 3

Progressive Disclosure

No bundle files exist and the ~440-line body is monolithic with per-language instrumentation, Tempo setup, and sampling all inline; sections are well-labeled so it avoids score 1, but content that should be split is inline with no one-level-deep references, matching the score-2 anchor.

2 / 3

Total

9

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12

Passed

Description

100%

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

The description is strong: it names specific tools and concrete actions, includes an explicit 'Use when' trigger clause, and occupies a distinct niche. Slight overlap risk with broad 'observability' phrasing is the only minor weakness.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('Implement distributed tracing', 'track requests across microservices', 'identify performance bottlenecks') with named tools Jaeger and Tempo, matching the multi-action anchor rather than the domain-only anchor at 2.

3 / 3

Completeness

Explicitly answers both what (implement distributed tracing to track requests and find bottlenecks) and when via the 'Use when debugging microservices, analyzing request flows, or implementing observability' clause, matching the full what-and-when anchor.

3 / 3

Trigger Term Quality

Includes natural trigger phrases a user would say ('debugging microservices', 'analyzing request flows', 'implementing observability'), giving good coverage; it tilts slightly technical but reaches the natural-term anchor at 3.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche (distributed tracing with Jaeger/Tempo) with distinct triggers unlikely to fire for unrelated skills, though 'observability' could lightly overlap with metrics skills; still matches the clear-niche anchor at 3.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
rmyndharis/antigravity-skills
Reviewed

Table of Contents

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