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databricks-core

Databricks CLI operations and the parent/entry-point skill for all Databricks work: authentication, profile selection, data exploration, bundles, and Genie natural-language data Q&A. Load this first for any Databricks task (CLI, auth, profiles, exploring catalogs/tables), then load the matching product skill. Contains up-to-date guidelines for Databricks-related CLI tasks.

80

Quality

100%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

This is an excellent entry-point skill that is concise, highly actionable, and well-structured. It efficiently covers CLI operations, authentication, profile selection, data exploration, and common troubleshooting while routing to specialized sub-skills and reference files. The inclusion of anti-patterns (wrong commands) and the critical note about separate shell sessions in Claude Code are particularly valuable additions that prevent common failure modes.

DimensionReasoningScore

Conciseness

The content is lean and efficient throughout. It avoids explaining what Databricks is, what CLI tools are, or other concepts Claude already knows. Every section delivers actionable information without padding. The anti-pattern examples (❌ WRONG) earn their place by preventing common errors.

3 / 3

Actionability

The skill provides fully executable, copy-paste-ready CLI commands throughout. It includes concrete examples for every operation (listing, getting, exploring data, bundles), shows correct vs incorrect syntax with clear annotations, and provides specific version numbers and flag usage.

3 / 3

Workflow Clarity

The prerequisites section establishes a clear sequence (check CLI → authenticate → select profile) with explicit validation steps and branching logic (e.g., if CLI missing, STOP and read install guide; if sandboxed, fall back to REST API). The profile selection workflow is explicit with numbered steps. The 'Required Reading by Task' table provides clear routing for different workflows.

3 / 3

Progressive Disclosure

The skill serves as a clear entry point/overview that routes to dedicated product skills (databricks-jobs, databricks-pipelines, etc.) and reference files (CLI Installation, CLI Authentication, Data Exploration). References are one level deep, clearly signaled with markdown links, and organized in multiple ways (inline, task table, and reference section).

3 / 3

Total

12

/

12

Passed

Description

100%

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

This is a strong description that clearly identifies its domain (Databricks), lists specific capabilities (CLI, auth, profiles, data exploration, bundles, Genie), and provides explicit guidance on when to use it ('Load this first for any Databricks task'). It also clarifies its relationship to other skills as a parent/entry-point, which aids in skill selection. The description is well-structured and uses appropriate third-person voice throughout.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: CLI operations, authentication, profile selection, data exploration, bundles, and Genie natural-language data Q&A. These are distinct, identifiable capabilities.

3 / 3

Completeness

Clearly answers both what ('CLI operations, authentication, profile selection, data exploration, bundles, Genie Q&A') and when ('Load this first for any Databricks task (CLI, auth, profiles, exploring catalogs/tables), then load the matching product skill'). The 'when' guidance is explicit and actionable.

3 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'Databricks', 'CLI', 'auth', 'profiles', 'catalogs', 'tables', 'bundles', 'Genie'. Good coverage of terms a user working with Databricks would naturally use.

3 / 3

Distinctiveness Conflict Risk

Clearly scoped to Databricks CLI and serves as the parent/entry-point skill for all Databricks work. The Databricks-specific terminology and the explicit role as an entry-point skill make it highly distinctive and unlikely to conflict with non-Databricks skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
databricks/databricks-agent-skills
Reviewed

Table of Contents

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