Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured routing skill that efficiently maps RUM workflows to detailed references while keeping the overview lean and navigable. Its main weakness is the absence of any executable DQL example — even one starter query would significantly improve actionability. The data model table, common filters, and performance thresholds are all high-value, token-efficient additions.
Suggestions
Add 1-2 executable DQL starter queries (e.g., a timeseries query for LCP and a fetch user.events query for errors) to make the skill immediately actionable without requiring a reference file lookup.
Consider adding a brief 'first steps' or 'quick start' section showing how to identify the frontend name and verify data is flowing before diving into specific workflows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place — the data model table, common filters, thresholds, and workflow routing are all net-new information Claude wouldn't know. No unnecessary explanations of what RUM is or how DQL works. The 'rule of thumb' line is the only slightly editorial sentence, but it's genuinely useful for decision-making. | 3 / 3 |
Actionability | The skill provides clear routing to workflows and useful filter field names, but contains zero executable DQL queries. A quick-start example query (e.g., fetching LCP from dt.frontend.* or user.events) would make this immediately actionable rather than requiring a reference file lookup first. | 2 / 3 |
Workflow Clarity | The skill functions as a dispatcher: it clearly sequences the decision process (start with metrics for shape, drill into events for why, use sessions for journeys) and maps each workflow to exactly one reference. For a routing/overview skill, this is the appropriate level of workflow clarity — the multi-step details belong in the references. | 3 / 3 |
Progressive Disclosure | Excellent progressive disclosure structure: concise overview with data model, filters, and thresholds inline, then a clean one-level-deep reference table mapping workflows to specific files. The instruction 'Load the reference when you start the workflow, not upfront' is a smart token-saving directive. References are clearly signaled with relative paths. | 3 / 3 |
Total | 11 / 12 Passed |