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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

Quality

86%

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 defines its scope around Declarative Automation Bundles with concrete actions and explicit trigger guidance. It includes both the current and legacy naming ('formerly Asset Bundles'), which aids discoverability. The enumerated use cases provide clear guidance for when Claude should select this skill.

DimensionReasoningScore

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 convention.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with the specific niche of Declarative Automation Bundles (DABs). The domain-specific terminology (DAB, Asset Bundles, bundle resources) and the enumerated use cases make 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, actionable skill with excellent concrete YAML examples and good progressive disclosure through referenced files and related skills. The main weaknesses are moderate verbosity (especially the Apps section and log monitoring details) and the lack of an explicit end-to-end deployment workflow with validation checkpoints for what is fundamentally a multi-step, multi-environment deployment process.

Suggestions

Add an explicit end-to-end deployment workflow (e.g., '1. Validate → 2. Deploy to dev → 3. Verify → 4. Deploy to prod') with validation checkpoints and error recovery steps

Trim the Apps section by removing the comparison table and condensing the log patterns into a shorter reference; move detailed app guidance to a separate file if needed

DimensionReasoningScore

Conciseness

The skill is mostly efficient with concrete YAML examples and tables, but includes some unnecessary explanations (e.g., the Apps 'Key Differences from Other Resources' table, verbose log pattern descriptions, and the 'What logs show' section add bulk). The Apps section is particularly lengthy and could be tightened.

2 / 3

Actionability

Provides fully executable YAML configurations, concrete CLI commands, and copy-paste ready examples for every resource type. Path resolution is clearly documented with a table, and permission levels are explicitly listed per resource type.

3 / 3

Workflow Clarity

The Common Commands section lists validate/deploy/run/destroy in a logical sequence, but there's no explicit workflow tying them together with validation checkpoints. For a multi-environment deployment skill involving potentially destructive operations (deploy --force, destroy), the lack of a clear 'validate → deploy → verify → promote' workflow with feedback loops is a gap.

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, 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.

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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