Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A lean, highly actionable diagnostic reference with executable fixes for each error category and clean section organization. The main gap is the absence of explicit verification checkpoints in the match-and-fix workflow.
Suggestions
Add an explicit verification step after applying a fix (e.g., re-query run/cluster state to confirm resolution) to turn the implicit 'Resolution verified' goal into a concrete checkpoint.
Reconcile or cross-link the Error Handling summary table with the detailed sections so the table reads as a navigation index rather than a partial restatement.
Clarify how the two top-level steps (Identify Error Source -> Match and Fix) connect to the verification and escalation path so the full diagnostic loop is sequenced end to end.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Each error section jumps straight to a stated cause and executable fix with no padding or explanation of concepts Claude already knows; the only minor redundancy is the summary Error Handling table restating section content. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready guidance throughout — real SDK method calls (ensure_cluster_is_running, get_run_output), SQL GRANT statements, and CLI commands with concrete arguments. | 3 / 3 |
Workflow Clarity | A two-step sequence (Identify Error Source, then Match and Fix) is present and the Delta section has a retry loop, but the overall flow lacks explicit validation/verification checkpoints confirming a fix succeeded, leaving the 'Resolution verified' output goal implicit. | 2 / 3 |
Progressive Disclosure | A single, well-organized file with clearly labeled sections and no nested (2+ level) references; cross-skill pointers (databricks-rate-limits, databricks-debug-bundle) are clearly signaled one-hop links. | 3 / 3 |
Total | 11 / 12 Passed |