Content
86%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.
An exemplary overview skill: token-dense product-specific guidance, concrete CLI sequences with validation checkpoints, and a clean one-level reference bundle covering every feature by language. The only refinement worth making is inlining the update-polling command and explicit edit→redeploy feedback loop instead of deferring them to references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, product-specific knowledge Claude cannot know — exact validity columns ('__START_AT' / '__END_AT'), the 'dbfs:' prefix requirement for Volumes, LIVE deprecation, migration mappings — with zero padding and no explanation of concepts Claude already knows. Every line carries routing rules, traps, or concrete syntax; anti-drift check against anchor 4 finds no over-explanation to trim. | 5 / 5 |
Actionability | Gives copy-paste-ready commands for the full lifecycle ('databricks bundle validate', 'databricks bundle deploy -t dev', 'databricks bundle run <pipeline_name> -t dev', 'databricks workspace import-dir ... --overwrite', 'databricks pipelines start-update') plus concrete read syntax ('spark.readStream.table("name")' / 'SELECT ... FROM STREAM(name)'). Minor gaps: a few details like the update-polling command are deferred to references rather than stated inline, and some entries are signature templates with placeholders. | 4 / 5 |
Workflow Clarity | Sequences are explicit and validation is present: the DAB flow (validate → deploy → run), the CLI re-upload loop ('Re-upload ... after every change, then databricks pipelines start-update'), a dry-run feedback loop ('--validate-only'), and a destructive-operation guard (full refresh 'only when really necessary... user must explicitly select'), so no cap applies. Below anchor 5 because the update-polling procedure and error-recovery specifics are delegated to the workflow references rather than given as explicit checkpoints in the body. | 4 / 5 |
Progressive Disclosure | The body is a genuine overview — decision tree, traps, publishing rules, a feature-to-reference API table — pointing to 33 real, verified, one-level-deep reference files organized by feature and language, with mandatory-companion reading rules ('MANDATORY: Before implementing... read its linked reference'). Cross-links inside references point only to siblings, never deeper, matching the anchor-5 structure exactly. | 5 / 5 |
Total | 18 / 20 Passed |