databricks-model-serving
Manage Databricks Model Serving endpoints via CLI. Use when asked to create, configure, query, or manage model serving endpoints for LLM inference, custom models, or external models.
90
88%
Does it follow best practices?
Impact
—
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 a well-crafted skill description that concisely covers what the skill does, when to use it, and includes strong trigger terms. It uses proper third-person voice, provides explicit trigger guidance with a 'Use when' clause, and is distinctive enough to avoid conflicts with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'create, configure, query, or manage model serving endpoints' and specifies the domain clearly as Databricks Model Serving via CLI. | 3 / 3 |
Completeness | Clearly answers both 'what' (manage Databricks Model Serving endpoints via CLI) and 'when' (explicit 'Use when asked to create, configure, query, or manage model serving endpoints for LLM inference, custom models, or external models'). | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Databricks', 'Model Serving', 'endpoints', 'CLI', 'LLM inference', 'custom models', 'external models', 'create', 'configure', 'query'. Good coverage of terms a user working with Databricks serving would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with clear niche: Databricks-specific, Model Serving-specific, CLI-specific. The combination of 'Databricks', 'Model Serving', and 'endpoints' makes it very unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%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-structured, highly actionable skill that provides concrete CLI commands and clear workflows for managing Databricks Model Serving endpoints. Its main weakness is moderate verbosity — the repeated CLI discovery reminders and the lengthy inline app integration section could be tightened or deferred. The troubleshooting table and command reference table are excellent additions that add practical value.
Suggestions
Consolidate the repeated 'run -h first' guidance into a single prominent callout rather than restating it multiple times throughout the document.
Move the 'Integrate with a Databricks App' section to a brief cross-reference (2-3 lines pointing to the databricks-apps skill) rather than including the full scaffolding and YAML examples inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but has some unnecessary verbosity — the repeated reminders to run `-h` (stated 4+ times), the 'Do NOT list endpoints before creating' callout, and the endpoint structure ASCII diagram add tokens without proportional value. The app integration section is quite lengthy for what could be a brief cross-reference. | 2 / 3 |
Actionability | Provides fully executable CLI commands with concrete JSON payloads for create, query, and config operations. The examples are copy-paste ready with clear placeholder conventions, and the troubleshooting table maps specific errors to specific solutions. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced with validation checkpoints — creation includes polling for READY state, querying non-chat endpoints has a discover-then-query sequence, and the app integration has explicit Step 1/Step 2 with a conditional branch. The troubleshooting table provides error recovery guidance. | 3 / 3 |
Progressive Disclosure | References the parent `databricks-core` skill and the `databricks-apps` skill appropriately, and links to a model-serving guide. However, the app integration section is quite detailed inline when it could be deferred to the apps skill, and there are no bundle files to support the referenced path `../databricks-apps/references/appkit/model-serving.md`. The 'Other Commands' table is a good summary pattern but the overall document is somewhat long for a SKILL.md overview. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- databricks/databricks-agent-skills
- Commit
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