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databricks-lakebase

Manage Lakebase Postgres Autoscaling projects, branches, and endpoints via Databricks CLI. Use when asked to create, configure, or manage Lakebase Postgres databases, projects, branches, computes, or endpoints.

67

Quality

84%

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SKILL.md
Quality
Evals
Security

Quality

Content

76%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A highly actionable, well-structured reference with concrete CLI commands throughout. Its main weakness is workflow validation: the destructive branch-deletion flow lacks verification checkpoints, which caps workflow clarity despite otherwise excellent sequencing and discovery guidance.

Suggestions

Add a post-deletion verification step to the destructive workflows (e.g., re-run `databricks postgres list-branches` after `delete-branch` to confirm the branch is gone), which would lift the workflow_clarity cap.

Add a pre-deletion safety check that confirms the exact resource name and that it is not the `production` branch before running `delete-branch`.

Trim the duplicated `-h` discovery instruction in the CLI Discovery section (stated in both the code comments and twice in prose) to tighten conciseness.

DimensionReasoningScore

Conciseness

The body is lean and command-first, assuming Claude's competence ("Do NOT guess command syntax. Discover available commands..."). Minor redundancy keeps it below anchor 5: the `databricks postgres -h` instruction is repeated in the code comments and twice in prose in the CLI Discovery section.

4 / 5

Actionability

Every common case has a copy-paste-ready command with concrete --json specs (create-project, create-branch, unprotect/delete, apps init). The reliance on `-h` for full flag discovery is explicitly justified flexibility for CLI version drift, matching anchor 5.

5 / 5

Workflow Clarity

Sequences are clear (create → verify auto-provisioned resources; discover branch/database → scaffold app), but the destructive delete-branch workflow (unprotect → delete) has no verification step confirming deletion or checking preconditions. Per the judging guidelines, missing validation on destructive operations caps workflow clarity at 3 even though the sequence itself is well-ordered.

3 / 5

Progressive Disclosure

No bundle files exist, so the body self-contains its content with well-organized sections and clearly signaled pointers to the databricks-core parent and databricks-apps skills. It sits below anchor 5 only because at ~175 lines the "What's Next" app-scaffolding section is somewhat tangential material inlined in this skill, and the simple-skill exception (under 50 lines) does not apply.

4 / 5

Total

16

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: it states what the skill does and when to use it with concrete, product-specific trigger terms and a clear niche. The only gaps are slightly generic action verbs and a few missing synonyms for natural user phrasing.

DimensionReasoningScore

Specificity

The description lists several concrete actions and objects ("create, configure, or manage Lakebase Postgres databases, projects, branches, computes, or endpoints"), though the verbs themselves are generic. It falls short of anchor 5 because lower-level operations (e.g., scaling, read replicas, connecting) are not named, and is clearly above anchor 3's 1-2 concrete actions.

4 / 5

Completeness

It explicitly answers both what ("Manage Lakebase Postgres Autoscaling projects, branches, and endpoints via Databricks CLI") and when ("Use when asked to create, configure, or manage...") with concrete trigger phrases, matching anchor 5 exactly.

5 / 5

Trigger Term Quality

Good natural keyword coverage ("Lakebase", "Postgres", "databases", "branches", "Databricks CLI", "endpoints") that users would plausibly say. A few natural synonyms are missing (e.g., "read replica", "connection string", "serverless"), keeping it below anchor 5 but comfortably above anchor 3.

4 / 5

Distinctiveness Conflict Risk

"Lakebase Postgres Autoscaling" is a distinct product niche with product-specific triggers; only trivial adjacency exists with the parent databricks-core skill, giving minimal conflict risk per anchor 5.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

databricks/devhub

Path

.agents/skills/databricks-lakebase/SKILL.md

Reviewed

Table of Contents

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