databricks-bundles
Create and configure Declarative Automation Bundles (formerly Asset Bundles) with best practices for multi-environment deployments (CICD). Use when working with: (1) Creating new DAB projects, (2) Adding resources (dashboards, pipelines, jobs, alerts), (3) Configuring multi-environment deployments, (4) Setting up permissions, (5) Deploying or running bundle resources
89
86%
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 a strong skill description that clearly defines its scope around Declarative Automation Bundles with specific actions and explicit trigger conditions. It helpfully includes the former name ('Asset Bundles') for discoverability and enumerates five concrete use cases. The description is concise, uses third-person voice, and would be easily distinguishable from other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: creating DAB projects, adding resources (dashboards, pipelines, jobs, alerts), configuring multi-environment deployments, setting up permissions, and deploying/running bundle resources. | 3 / 3 |
Completeness | Clearly answers both 'what' (create and configure DABs with best practices for multi-environment deployments) and 'when' (explicit 'Use when working with...' clause listing five specific trigger scenarios). | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Declarative Automation Bundles', 'Asset Bundles', 'DAB', 'dashboards', 'pipelines', 'jobs', 'alerts', 'CICD', 'multi-environment deployments', 'permissions', 'bundle'. Covers both the current and former naming conventions. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with the specific niche of Declarative Automation Bundles (Databricks-specific tooling). The mention of both current and former names, plus specific resource types, makes it very unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-structured skill that provides actionable, concrete YAML configurations and CLI commands for DABs development. Its main weaknesses are a slightly verbose Apps section and the lack of explicit validation/error-recovery workflows for the multi-step deployment process. The progressive disclosure and reference structure are excellent.
Suggestions
Add an explicit step-by-step deployment workflow with validation checkpoints (e.g., validate → fix errors → deploy → verify → run) including what to do when validation fails.
Trim the Apps section — the comparison table and some of the log pattern details could be moved to a separate reference file to improve conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with good use of tables and code blocks, but includes some unnecessary content like the Apps comparison table, verbose log pattern explanations, and the 'Other Resources' section that adds little value. The Apps section is quite lengthy and could be more tightly organized. | 2 / 3 |
Actionability | Provides fully executable YAML configurations, concrete CLI commands, and copy-paste ready examples for every resource type. Path resolution rules are specific with a clear table, and permission levels are explicitly listed per resource type. | 3 / 3 |
Workflow Clarity | The Common Commands section provides a clear sequence (validate → deploy → run → monitor → cleanup), but there's no explicit validation feedback loop — e.g., no guidance on what to do when `bundle validate` fails, or a step-by-step workflow for first-time deployment with checkpoints. For a multi-step deployment process involving multiple environments, the lack of explicit validation checkpoints caps this at 2. | 2 / 3 |
Progressive Disclosure | Excellent progressive disclosure with a clear overview, well-signaled one-level-deep references to SDP_guidance.md and alerts_guidance.md, related skills section linking to adjacent capabilities, and external documentation links. Content is appropriately split between inline essentials and referenced details. | 3 / 3 |
Total | 10 / 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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