Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable reference: concrete copy-paste CLI commands, clearly sequenced workflows with verification checkpoints and a troubleshooting table, and clean section organization that points outward to sibling skills rather than nesting. It stays lean while covering the non-obvious Lakebase-specific details.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence; the brief Lakebase product context ('serverless Postgres-compatible database (similar to Neon)') earns its place for a novel proprietary product rather than explaining a concept Claude already knows, so it is not the score-2 'mostly efficient but could be tightened' case. | 3 / 3 |
Actionability | Commands are fully executable and copy-paste ready with concrete flags and JSON specs (e.g. create-project with --json spec, --profile), matching the 'fully executable code/commands' anchor rather than the score-2 pseudocode case. | 3 / 3 |
Workflow Clarity | Multi-step flows are explicitly sequenced with checkpoints — 'After creation, verify the auto-provisioned resources' and the unprotect-then-delete branch sequence with a 'Never delete the production branch' guard plus a troubleshooting table for error recovery — satisfying the explicit-validation anchor. | 3 / 3 |
Progressive Disclosure | No bundle files exist, so per the simple-skill scoring note a single well-organized SKILL.md with clearly labeled sections (Resource Hierarchy, Create a Project, Branches, What's Next) and one-level pointers to the parent databricks-core and databricks-apps skills scores 3 without nested references. | 3 / 3 |
Total | 12 / 12 Passed |