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databricks-metric-views

Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools.

72

Quality

90%

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SKILL.md
Quality
Evals
Security

Quality

Content

80%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable and concise, with excellent executable examples, but the workflow lacks explicit validation checkpoints for database operations and the advertised reference files are missing from the bundle.

Suggestions

Add an explicit validation step to the create/alter workflow (e.g., call describe or a small test query after CREATE and only proceed/grant on success) to close the feedback loop for these database operations.

Create the referenced yaml-reference.md and patterns.md files in a references/ directory, or remove the Reference Files table and inline the needed content, so signaled references resolve to real files.

Move the inline YAML Spec Quick Reference detail into yaml-reference.md to make the SKILL.md a leaner overview that defers full syntax to the reference.

DimensionReasoningScore

Conciseness

The body is lean and token-efficient: executable SQL/YAML/MCP snippets and compact reference tables, with no generic concept explanations Claude already knows. Every section earns its tokens.

3 / 3

Actionability

It provides complete, copy-paste-ready examples (CREATE VIEW ... WITH METRICS, MEASURE() queries, and full manage_metric_views calls with all parameters) rather than pseudocode or vague direction.

3 / 3

Workflow Clarity

A sequence exists (inspect schema → create → query) but there is no explicit validation checkpoint after create/alter/drop, and the scoring notes cap workflow_clarity at 2 for database operations lacking feedback loops.

2 / 3

Progressive Disclosure

The Reference Files table signals one-level-deep references (yaml-reference.md, patterns.md), but those files do not exist in any bundle directory, and substantial reference content remains inline in the body.

2 / 3

Total

10

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12

Passed

Description

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.

The description is concise, concrete, and third-person, covering both capabilities and explicit usage triggers with strong natural-language keywords. It is well-distinguished from other skills by its Unity Catalog metric-view niche.

DimensionReasoningScore

Specificity

"define, create, query, and manage governed business metrics in YAML" lists multiple concrete actions, matching the anchor that enumerates specific actions rather than vague language.

3 / 3

Completeness

It states both what ("define, create, query, and manage governed business metrics in YAML") and when via an explicit "Use when building standardized KPIs..." trigger clause.

3 / 3

Trigger Term Quality

"standardized KPIs, revenue metrics, order analytics, or any reusable business metrics" covers natural terms a user would say, with good variation of common phrasings.

3 / 3

Distinctiveness Conflict Risk

"Unity Catalog metric views" names a clear niche with distinct triggers (KPIs, governed business metrics) unlikely to collide with other skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 2 missing

Warning

Total

15

/

16

Passed

Repository
databricks-solutions/ai-dev-kit
Reviewed

Table of Contents

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