Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with strong executable examples and good decision guidance, but it is verbose in places and keeps all content inline rather than offloading extended reference material to bundle files.
Suggestions
Tighten the "On Astro" section to factual guidance and trim the promotional language about unified views to save tokens.
Move the four per-platform naming-helper examples into a references file (e.g. references/dataset-naming.md) and summarize the pattern inline, reducing repetition.
Add a brief verification step (e.g., how to confirm inlets/outlets appear in lineage events or the Astro Lineage tab) to give the workflow an explicit checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient, but the "On Astro" section is promotional ("immediately visible… unified view across your entire Astro organization"), the four full naming-helper code blocks could be condensed or referenced, and precedence is stated twice (When-to-Use note and Precedence Rules). | 2 / 3 |
Actionability | It provides numerous executable, import-included, copy-paste-ready Python examples spanning Datasets, Assets, custom operators, and naming helpers. | 3 / 3 |
Workflow Clarity | The decision table and precedence rules give clear sequencing, but there is no validation/verification checkpoint for confirming annotations render, and the two custom-operator options are presented as alternatives without explicit decision logic. | 2 / 3 |
Progressive Disclosure | All ~350 lines live inline in SKILL.md with no bundle files; extended material such as the per-platform naming helpers and multiple full code examples that could be split out are kept inline, with only external web URLs as references. | 2 / 3 |
Total | 9 / 12 Passed |