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databricks-lakebase

Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

65

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is databricks-lakebase in databricks/databricks-agent-skills

SKILL.md
Quality
Evals
Security

Quality

Content

75%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 well-engineered, dense reference with executable commands, explicit verification after creation, gated destructive operations, and a clean one-level-deep bundle structure. Weaknesses are modest: an unsourced `<USERNAME>` placeholder, dated migration notes outside a deprecated section, a duplicated troubleshooting flow, one orphaned bundle file, and a missing confirmation step on reset-branch.

DimensionReasoningScore

Conciseness

Mostly lean — dense tables, executable commands, and smart deferral of full flag documentation to `-h` discovery. Deducted for dated time-sensitive info in prominent blockquotes ("March 2026", "June 2026") outside a deprecated section and the schema-permission recovery flow being duplicated between the What's Next section and the Troubleshooting table.

4 / 5

Actionability

Fully specified CLI commands with JSON payloads, a JSON-path table for extracting connection values, SQL grants, and a copy-paste scriptable version. Not 5 because `user=<USERNAME>` is never sourced — no step or JSON path indicates where the username comes from, breaking the flagship psql flow's executability.

4 / 5

Workflow Clarity

Create → verify → extract-connection-values is checkpointed, and the deploy-first app workflow has an explicit sequence plus a full error-recovery loop (permission denied → export options A/B) with destructive delete gated on explicit user permission. Not 5 because destructive `reset-branch` ("Local changes are lost") lacks a confirmation checkpoint unlike delete, and update/reset workflows have no verify step.

4 / 5

Progressive Disclosure

Good structure: an overview body with a clearly labeled reference-docs list of six one-level-deep files, all verified to exist, each with a topic description. Not 5 because `references/medallion-from-cdc.md` exists in the bundle but is never linked from SKILL.md (hurting discoverability), and the What's Next section mixes workflows with reference pointers.

4 / 5

Total

16

/

20

Passed

Description

83%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 with an explicit 'Use when' trigger clause and concrete capability enumeration. Main weakness is the capability list being topic nouns rather than action verbs, plus a missing common synonym ("Reverse ETL") and a slightly broad "OLTP storage" trigger.

DimensionReasoningScore

Specificity

Lists five concrete capability areas ("projects, scaling, connectivity, Lakebase synced tables, and Data API") with comprehensive coverage, but they are noun topics rather than the concrete action phrases of the top anchor ("Extract text and tables... fill forms, merge documents").

4 / 5

Completeness

Clearly answers both what ("projects, scaling, connectivity, Lakebase synced tables, and Data API") and when with an explicit trigger clause ("Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks"), matching the top anchor exactly.

5 / 5

Trigger Term Quality

Good natural keyword coverage ("Lakebase databases", "OLTP storage", "connecting apps to Postgres on Databricks"), but a few natural terms users would say are missing, e.g. "Reverse ETL" for synced tables and generic Postgres task phrasing. Not the 5 anchor since synonyms like file extensions or product aliases are absent.

4 / 5

Distinctiveness Conflict Risk

Clear niche (Databricks Lakebase Postgres) with distinct triggers and minimal conflict risk, but "OLTP storage" is not Databricks-scoped and could overlap generic database questions or the databricks-core parent skill. Not 3 because the product-specific terms dominate.

4 / 5

Total

17

/

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

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

Reviewed

Table of Contents

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