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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".

100

Quality

100%

Does it follow best practices?

Impact

Pending

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 a strong skill description that clearly communicates specific capabilities (checking, switching, listing, and authenticating workspaces) and provides explicit trigger guidance with natural user phrases. The Databricks-specific terminology makes it highly distinctive and unlikely to conflict with other skills. It follows the recommended pattern closely and uses appropriate third-person voice.

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 workspace connections with four specific actions) and 'when' (explicit 'Use when...' clause with six specific trigger phrases). Both halves are well-developed.

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 Databricks-specific terminology ('databrickscfg', 'databricks auth', 'workspace') that clearly carves out a niche. Unlikely to conflict with other skills unless there are multiple Databricks-related 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 tool actions with clear parameters. The workflow is logically sequenced with appropriate constraints (no direct config editing, tool-only approach). The note about session-scoping adds genuinely useful context without bloating the content.

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 values, and a clear intent-to-action mapping. Claude knows exactly which action string and parameters to use for each user request.

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), and the constraint about not editing config files directly provides a safety boundary.

3 / 3

Progressive Disclosure

This is a simple, single-purpose skill under 50 lines. Content is well-organized with a constraint header, numbered steps, and a clearly separated note. No need for external file references given the scope.

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

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