The description lists many example queries and domains (logs, metrics, traces, RUM, APM, DataPrime) but doesn't clearly describe what concrete actions the skill performs — it focuses on trigger phrases rather than capabilities like 'queries telemetry databases', 'builds PromQL queries', or 'analyzes span data'.

The 'when' is extremely well covered with explicit trigger phrases and a 'Use this skill for...' clause. However, the 'what does this do' is essentially missing — there's no description of what the skill actually does (e.g., generates queries, analyzes data, connects to an observability platform). It only describes when to use it, not what it does.

Excellent coverage of natural user phrases: 'debug a problem', 'find out why something is slow', 'check error rates', 'look at logs', 'check CPU usage', 'Core Web Vitals', 'JavaScript exceptions', 'DataPrime syntax' — these are highly natural terms users would actually say.

The skill carves out a very clear niche around observability/telemetry data with specific terms like DataPrime, PromQL, RUM, APM, traces, spans, and Core Web Vitals. This is highly unlikely to conflict with other skills.

The skill is mostly efficient and well-structured, but includes some redundancy—the examples section partially restates the routing guide and discovery workflow, and the CLI commands table repeats information already covered in the discovery steps. The key principles section also largely restates what was already said. However, it avoids explaining basic concepts Claude would know.

The skill provides concrete, copy-paste-ready CLI commands throughout (e.g., `cx metrics search --name '*transaction*'`, `cx search-fields "transaction amount" --dataset logs`). The discovery workflow gives specific executable steps, and the CLI reference table is comprehensive with clear 'when to use' guidance.

The discovery workflow is clearly sequenced (Steps 1-4) with explicit decision points ('If a matching metric is found, load X and continue'). The fallback/pivoting section provides clear error recovery guidance ('Try at least two pillars before concluding the data does not exist'). The routing guide provides clear first-choice and fallback paths.

The skill serves as a clear routing/entry-point document that directs to specific reference files (dataprime-reference.md, logs-querying.md, spans-querying.md, etc.) via a well-organized loading table. References are one level deep and clearly signaled. It also routes to other workflow skills for non-investigative tasks. Note: no bundle files were provided to verify the referenced files exist, but the structure itself is exemplary.