Content
82%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A lean, highly actionable skill body with executable examples and a well-organized reference section. The main trim opportunity is intro/Gotchas redundancy, and the API reference could optionally be split into a bundle file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and information-rich, assuming competence (no padding about what parquet/Rerun is); minor redundancy where the intro's 'lenses not pandas' and the /__properties drop are restated in the Gotchas section. | 4 / 5 |
Actionability | Fully executable copy-paste examples (Transform3D and Points3D lens flows, the .drop() call) plus a complete builder table with concrete argument orders cover the common cases. | 5 / 5 |
Workflow Clarity | A clear conceptual sequence is given ('fill in the rerun-data-model mapping table first, then express it through stream()') with schema validation noted at stream(); it is not framed as an explicit numbered validate-fix-retry loop, but the operation is a non-destructive read so the batch/destructive cap does not apply. | 4 / 5 |
Progressive Disclosure | Well-sectioned body with a clearly signaled one-level-deep References section pointing to package source, integration tests, and sibling skills; no bundle files exist, so the inlined API reference (builder table, selector grammar) is a minor externalization gap rather than a structural flaw. | 4 / 5 |
Total | 17 / 20 Passed |