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databricks-config

Manage Databricks workspace connections: check current workspace, switch profiles, list available workspaces, or authenticate to a new workspace. Use when the user mentions "switch workspace", "which workspace", "current profile", "databrickscfg", "connect to workspace", or "databricks auth".

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

Discovery

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 an excellent skill description that clearly defines its scope (Databricks workspace connection management), lists specific concrete actions, and provides explicit trigger terms in a 'Use when...' clause. It follows best practices with third-person voice, concise language, and distinct terminology that minimizes conflict risk with other skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: check current workspace, switch profiles, list available workspaces, and authenticate to a new workspace. These are clear, actionable capabilities.

3 / 3

Completeness

Clearly answers both 'what' (manage Databricks workspace connections with four specific actions) and 'when' (explicit 'Use when...' clause with six specific trigger phrases).

3 / 3

Trigger Term Quality

Includes excellent natural trigger terms that users would actually say: 'switch workspace', 'which workspace', 'current profile', 'databrickscfg', 'connect to workspace', 'databricks auth'. These cover multiple natural phrasings and variations.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche around Databricks workspace management. The specific trigger terms like 'databrickscfg', 'databricks auth', and 'switch workspace' are unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Implementation

100%

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

This is a well-crafted, concise skill that maps user intents to specific MCP tool actions with clear parameters. The workflow is logically sequenced with appropriate detail for each action type. The constraint at the top (don't edit config files or use CLI) is a valuable safety boundary.

DimensionReasoningScore

Conciseness

Every line serves a purpose. No unnecessary explanations of what Databricks is or how MCP tools work. The note at the end is justified as it clarifies session-scoping behavior that Claude wouldn't inherently know.

3 / 3

Actionability

Provides specific tool names, exact parameter mappings (action/profile/host), a concrete intent-to-action mapping table, and clear output formatting instructions. The guidance is directly executable without ambiguity.

3 / 3

Workflow Clarity

Clear 4-step sequence covering tool loading, intent mapping, execution, and result presentation. The switch action includes a prerequisite step (call list first), which is a useful validation checkpoint. For this non-destructive operation set, the workflow is appropriately detailed.

3 / 3

Progressive Disclosure

This is a simple, single-purpose skill under 50 lines with no need for external references. The content is well-organized with a clear constraint statement, numbered steps, and a contextual note. No bundle files are needed.

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-solutions/ai-dev-kit
Reviewed

Table of Contents

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