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databricks-local-dev-loop

Configure Databricks local development with Databricks Connect, Asset Bundles, and IDE. Use when setting up a local dev environment, configuring test workflows, or establishing a fast iteration cycle with Databricks. Trigger with phrases like "databricks dev setup", "databricks local", "databricks IDE", "develop with databricks", "databricks connect".

71

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

A thorough, highly actionable skill with executable code, a clearly sequenced workflow, and explicit validation and error-recovery guidance. Its main weaknesses are length/volume for a single SKILL.md and the absence of bundle reference files to progressively disclose the detailed config and example material.

Suggestions

Move the full bundle YAML (databricks.yml, resources/daily_etl.yml), conftest fixtures, and the bronze.py interactive example into reference files under references/ and link to them from the main body to improve progressive disclosure and reduce inline length.

Tighten the Overview and trim the complete VS Code settings block to only the essential fields, keeping the body lean while preserving actionability.

Consider a short 'Quick start' section at the top that covers the minimal path (venv + Connect install + verify) before the full multi-step walkthrough, so the highest-value steps surface first.

DimensionReasoningScore

Conciseness

The body is mostly efficient executable code with brief comments, but at ~284 lines it is voluminous for a SKILL.md and includes a full interactive example script (bronze.py), complete VS Code settings, and full conftest/fixtures that could be tightened or moved to references. Not a 3 because not every token earns its place — some detailed content could be split out; not a 1 because it avoids concept-explaining fluff and stays actionable.

2 / 3

Actionability

Provides fully executable bash (version-pinned 'pip install "databricks-connect==14.3.*"', 'databricks bundle validate/deploy/run'), python (get_spark, conftest fixtures, unit test), yaml bundle configs, and JSON settings — copy-paste ready. Not a 2 because the guidance is concrete and complete rather than pseudocode or abstract direction.

3 / 3

Workflow Clarity

Seven clearly sequenced steps with explicit validation checkpoints ('databricks-connect test' to verify Connect, 'databricks bundle validate' before deploy) plus an Error Handling table giving cause/solution feedback loops for recovery. Not a 2 because validation and recovery are explicit and present for the batch/deploy operations, not missing or implicit.

3 / 3

Progressive Disclosure

Content is well-organized into clear sections (Overview, Prerequisites, Instructions, Output, Error Handling, Examples, Resources, Next Steps), but no bundle reference files exist and detailed material (full bundle yaml, conftest, example script) is inline rather than split into one-level-deep references; 'Next Steps'/'Resources' point to another skill and external URLs, not bundle files. Not a 1 because sections are well organized rather than a monolithic wall; not a 3 because there are no well-signaled one-level-deep reference files and this is not a simple <50-line skill, so the simple-skill exception does not apply.

2 / 3

Total

10

/

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.

A strong, third-person description that states concrete capabilities, provides an explicit 'Use when' clause, and lists natural trigger phrases. It clearly communicates both what the skill does and when to invoke it, with low conflict risk.

DimensionReasoningScore

Specificity

Lists multiple concrete actions and named tools — 'Configure Databricks local development with Databricks Connect, Asset Bundles, and IDE', 'setting up a local dev environment, configuring test workflows... establishing a fast iteration cycle' — matching the anchor for listing multiple specific concrete actions. Not a 2 because it goes beyond naming only a domain plus some actions to enumerate several distinct setup/config actions with specific tooling.

3 / 3

Completeness

Explicitly answers both 'what' ('Configure Databricks local development with Databricks Connect, Asset Bundles, and IDE') and 'when' ('Use when setting up a local dev environment, configuring test workflows...') with explicit triggers. Not a 2 because the 'when' is stated explicitly with a 'Use when...' clause plus trigger phrases, not merely implied.

3 / 3

Trigger Term Quality

Provides explicit natural phrases users would say — "databricks dev setup", "databricks local", "databricks IDE", "develop with databricks", "databricks connect" — giving good coverage of common variations. Not a 2 because it supplies a full set of natural trigger terms rather than only a few relevant keywords.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche (Databricks local dev with Connect, Bundles, and IDE) with distinct, Databricks-specific triggers unlikely to fire for unrelated skills. Not a 2 because the scoped tooling and trigger phrases are specific enough to avoid overlap with general dev or data skills.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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