Content
42%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is highly actionable with excellent concrete YAML examples covering the full range of metrics view features, but it is severely bloated. The inclusion of the complete JSON schema reference, extensive explanations of basic concepts, and lack of content splitting into supporting files makes this far too long for efficient context window usage. It would benefit greatly from aggressive trimming and splitting into a concise overview with references to detailed sub-documents.
Suggestions
Extract the full JSON schema reference into a separate REFERENCE.md file and link to it from the main skill, reducing the body by ~50%.
Remove explanatory content Claude already knows (what a semantic layer is, what aggregate functions are, what dimensions/measures conceptually represent) and focus purely on Rill-specific syntax and patterns.
Add explicit validation steps: how to verify a metrics view parses correctly (e.g., `rill start` output, error messages to look for), and what to do when validation fails.
Split dialect-specific notes (DuckDB, ClickHouse, Druid) and security policies into separate referenced files to keep the main skill focused on the core creation workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~400+ lines. It explains basic concepts Claude already knows (what a semantic layer is, what dimensions and measures are, what aggregate functions do), includes a full JSON schema dump that bloats the content enormously, and repeats information across sections. The introduction explaining what metrics views power (explores, canvas dashboards, alerts, etc.) is unnecessary context for a task-oriented skill. | 1 / 3 |
Actionability | The skill provides fully executable YAML examples throughout, including a complete annotated metrics view example, concrete security policy configurations, and specific syntax for multiple OLAP dialects. The code examples are copy-paste ready and cover common patterns comprehensively. | 3 / 3 |
Workflow Clarity | The 'Best practices' section provides a reasonable sequence for building metrics views (start with COUNT(*), add SUMs, etc.), but there are no explicit validation steps or feedback loops. There's no guidance on how to verify a metrics view is correct after creation, no error recovery steps, and no mention of how to test or validate the YAML before deployment. | 2 / 3 |
Progressive Disclosure | This is a monolithic wall of text with no references to external files despite being a perfect candidate for splitting (the full JSON schema alone could be a separate reference file, dialect-specific notes could be separate, security policies could be separate). With no bundle files provided, all content is inlined in one massive document with no navigation structure beyond headers. | 1 / 3 |
Total | 7 / 12 Passed |