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databricks-apps

Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Invoke BEFORE starting implementation.

75

Quality

95%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

An excellent, well-structured skill body: concise, highly actionable with executable commands and wrong/correct examples, clearly sequenced workflows with validation checkpoints, and clean one-level-deep progressive disclosure backed by real reference files.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence (no explaining what React/tRPC/SQL are); content is organized as a dense phase-reference table, concrete bullets, and copy-paste commands where every section earns its place.

3 / 3

Actionability

It provides fully executable CLI commands (e.g., 'databricks apps manifest' and 'databricks apps init --name ... --features ... --set ...') with explicit wrong-vs-correct examples and discovery commands, matching the copy-paste-ready anchor.

3 / 3

Workflow Clarity

"Development Workflow (FOLLOW THIS ORDER)" gives numbered sequences with validation checkpoints (typegen 'verify all queries show ✓', 'databricks apps validate') and feedback loops (DO NOT write UI before typegen), matching the top anchor.

3 / 3

Progressive Disclosure

The body is an overview with a clear phase-to-reference table; all referenced files exist and are one level deep (e.g., references/appkit/sql-queries.md, references/platform-guide.md), well-signaled and appropriately split from inline content.

3 / 3

Total

12

/

12

Passed

Description

90%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: it explicitly states both what the skill does and when to use it, with natural trigger terms and a clear distinct niche. The only minor gap is that it names the domain and a single action rather than enumerating multiple concrete capabilities.

Suggestions

Optionally list a few concrete actions (e.g., 'scaffold, write SQL/UI, and deploy apps') to lift specificity toward the top anchor.

DimensionReasoningScore

Specificity

"Build apps on Databricks Apps platform" names the domain and a single action but does not enumerate multiple concrete actions (scaffolding, querying, deploying), matching the 'names domain and some actions, not comprehensive' anchor.

2 / 3

Completeness

It explicitly answers both what ("Build apps on Databricks Apps platform") and when ("Use when asked to create dashboards, data apps, analytics tools, or visualizations"), with the 'Invoke BEFORE starting implementation' trigger, satisfying the top anchor.

3 / 3

Trigger Term Quality

"create dashboards, data apps, analytics tools, or visualizations" covers the natural terms a user would actually say, matching the good-coverage anchor rather than the partial-coverage level below.

3 / 3

Distinctiveness Conflict Risk

The Databricks Apps platform niche plus concrete trigger types (dashboards/analytics/visualizations) form a clear niche unlikely to conflict with sibling skills like databricks-core.

3 / 3

Total

11

/

12

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 10 deeper-than-1-level

Warning

referenced_paths_exist

Referenced path issues: 10 deeper-than-1-level

Warning

Total

13

/

16

Passed

Repository
databricks/devhub
Reviewed

Table of Contents

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