Content
92%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 strong overview-style SKILL.md: executable CLI/JSON examples throughout, wrong-vs-right anti-patterns for the three most likely failure modes, and a clean split of deep content into four well-signaled reference files that actually exist and go only one level deep. The only costs are minor redundancy in the catalog/decision pointers and validation detail that lives in the troubleshooting reference rather than inline in the workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes Databricks competence — no space is spent explaining what Unity Catalog, Delta, or CDC are, and the catalog/decision tables are token-efficient. Not a 5 because of small redundancies: the decision-tree reference is pointed to twice ("Is Lakeflow Connect the right tool?" and again under "Beta and Private Preview"), and the source list from the description is re-enumerated in the GA connector table. | 4 / 5 |
Actionability | A fully executable `databricks pipelines create --json` example with real connection/table objects, concrete bundle run-by-key commands, imperative start/poll commands with the run asymmetry called out, and wrong-vs-right JSON anti-patterns (libraries vs ingestion_definition, continuous:true rejection). Commands are copy-paste ready and cover the common cases. | 5 / 5 |
Workflow Clarity | The six-step workflow is clearly sequenced with validation checkpoints (verify prerequisites, poll the first run via start-update/get-update, watch the event log with the troubleshooting SQL a reference away). Not a 5 because the error-recovery loop — what to do when the first run fails — is delegated to reference 5 rather than stated inline in the workflow, and there is no explicit "only proceed when" gate analogous to the rubric's top anchor. | 4 / 5 |
Progressive Disclosure | SKILL.md is a true overview: decision table, connector catalog, minimal example, and workflow, with deep material split into four real reference files (all verified present, one level deep, no nested references). The detailed-guides table labels each file with a "When to read" column, making navigation easy; the unreferenced assets and missing #3 reference are inconsequential. | 5 / 5 |
Total | 18 / 20 Passed |