Content
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, actionable skill that provides concrete guidance for accessing RevenueCat data and constructing dashboard URLs. Its main strengths are the specific, copy-paste ready URL examples and clear parameter tables. Weaknesses include some conceptual explanation that Claude doesn't need, a monolithic structure that could benefit from splitting into overview + reference files, and missing validation/error-handling steps in the workflow.
Suggestions
Trim the 'Interpreting metrics' conceptual explanations (e.g., 'Subscription apps are driven by four forces...') — Claude understands these business concepts. Keep only the chart-to-metric mappings.
Add validation checkpoints: what to check if the API returns an error, how to verify a project ID is valid, and what to do if chart data is empty or unexpected.
Consider splitting the URL construction reference (parameters, encoding rules, examples) into a separate REFERENCE.md file, keeping SKILL.md as a concise overview with pointers.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient but includes some unnecessary explanation in the 'Interpreting metrics' section (e.g., explaining what acquisition, conversion, retention, and reactivation mean conceptually — Claude already knows these business concepts). The URL construction section is well-detailed but somewhat repetitive with multiple examples showing the same pattern. The API-to-dashboard mapping table and step-by-step link construction could be tightened. | 2 / 3 |
Actionability | The skill provides highly concrete, copy-paste ready URL formats, specific parameter tables with exact values, complete examples of correct and incorrect URLs, and clear tool names to use. The guidance for interpreting metrics points to specific chart names. The URL construction examples are fully executable. | 3 / 3 |
Workflow Clarity | The initial guidance ('start with defined timeframes and larger resolution, then narrow down') provides a reasonable workflow for data exploration, and the link construction steps are clearly sequenced. However, there are no validation checkpoints — e.g., no guidance on what to do if the API returns errors, if the project ID is wrong, or how to verify the constructed URL is correct before presenting it to the user. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear headers and sections, but it's a fairly long monolithic file (~150 lines) that could benefit from splitting the URL construction reference into a separate file. The metrics interpretation section and the dashboard URL format section serve different purposes and could be separated. No bundle files are provided to offload reference material. | 2 / 3 |
Total | 9 / 12 Passed |