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
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
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 third-person voice, is concise without being vague, and occupies a distinct niche that minimizes conflict risk with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
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 efficiently maps user intents to specific MCP tool actions. It provides clear constraints (no direct file editing or CLI usage), a complete intent-to-action mapping table, and appropriate output formatting guidance. The note about session-scoped switching adds useful context without bloating the content.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every line serves a purpose. No unnecessary explanations of what Databricks is or how MCP tools work. The constraint about not editing ~/.databrickscfg is essential safety guidance, not filler. | 3 / 3 |
Actionability | Provides specific tool names, exact action parameter values, and a clear intent-to-action mapping. Claude knows exactly which tool to call with which parameters for each user intent. | 3 / 3 |
Workflow Clarity | Clear 4-step sequence with explicit intent mapping. The switch action includes a prerequisite step (call list first). Presentation guidance is specific per action type. For this non-destructive operation, the level of validation is appropriate. | 3 / 3 |
Progressive Disclosure | This is a simple, focused skill under 50 lines. Content is well-organized with a constraint header, numbered steps, intent mapping, and a note for edge cases. 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- databricks-solutions/ai-dev-kit
- Commit
b4071a0
- Reviewed
Table of Contents
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