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databricks-docs

Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities.

Quality

80%

Does it follow best practices?

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SecuritybySnyk

Low

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tessl review fix ./plugins/databricks/claude/skills/databricks-docs/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

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

The body is well-structured and actionable for a reference skill, with a concrete fetch workflow and clean progressive disclosure to the external docs index. Its main weaknesses are redundant sections that restate the description and pre-summarize the index contents, plus a missing retry/refinement step in the lookup workflow.

Suggestions

Merge the 'Role of This Skill' section into the intro paragraph instead of restating the frontmatter description as a bullet list, cutting roughly 10 lines of redundancy.

Drop or shrink the 'Documentation Structure' section — the category breakdown is re-discovered every time the llms.txt index is fetched, so pre-listing it duplicates content and will drift if the site reorganizes.

Add a brief refinement step to the lookup workflow, e.g., 'If the fetched page does not answer the question, search the index for alternate keywords or the API reference section before giving up.'

DimensionReasoningScore

Conciseness

The 'Role of This Skill' section restates the frontmatter description ('Look up documentation when other skills don't cover a topic'), and 'Documentation Structure' pre-summarizes category breakdowns of an index that is fetched live anyway; mostly efficient but these sections could be trimmed, matching anchor 3 rather than anchor 2 since padding is confined to a couple of sections.

3 / 5

Actionability

Provides concrete executable guidance: the exact URL 'https://docs.databricks.com/llms.txt', the named tool ('Use WebFetch to retrieve this index'), and a real CLI command ('databricks pipelines create') in the example scenario; minor gaps include no sample llms.txt entry or example WebFetch query. As an instruction-only skill, absence of code is not penalized.

4 / 5

Workflow Clarity

The lookup workflow is a clear, unambiguous sequence ('1. Search for relevant sections/links 2. Fetch specific documentation pages 3. Apply what you learn'), and the read-only nature means the destructive/batch validation cap does not apply; however, there is no feedback loop for when a fetched page fails to answer the question, keeping it at anchor 4 rather than 5.

4 / 5

Progressive Disclosure

A short, well-organized skill with clearly labeled sections where the bulk of detail appropriately lives one level deep in the external llms.txt index and docs site, and Related Skills links are accurate relative paths; per the simple-skill guideline, well-organized sections with no need for external bundle references merit a 5.

5 / 5

Total

16

/

20

Passed

Description

82%Weight 40%Scale 1-5

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 that clearly states both what the skill does (Databricks documentation reference via the llms.txt index) and when to use it, with an explicit fallback positioning that minimizes conflicts with sibling skills. The only weakness is limited enumeration of concrete lookup actions and a few missing natural synonyms.

DimensionReasoningScore

Specificity

Names the domain and mechanism concretely ('documentation reference via llms.txt index', 'looking up unfamiliar Databricks features') but lists only 1-2 actions rather than several specific ones, matching the 'not comprehensive' anchor; it is above score 2 because the llms.txt mechanism and lookup targets are concrete, not generic.

3 / 5

Completeness

'Databricks documentation reference via llms.txt index' explicitly answers what, and 'Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities' explicitly answers when with concrete trigger phrases, matching the anchor-5 example structure.

5 / 5

Trigger Term Quality

Good natural keyword coverage ('Databricks', 'documentation', 'APIs', 'configurations', 'platform capabilities', 'unfamiliar... features') with only a few natural terms missing (e.g., 'docs', specific feature names like Delta Lake or Unity Catalog), placing it between anchors 3 and 4 but noticeably above the midpoint.

4 / 5

Distinctiveness Conflict Risk

The clause 'Use when other skills do not cover a topic' explicitly positions this as a fallback resource, giving it a clear docs-reference niche with minimal conflict risk against the action-oriented databricks-* skills.

5 / 5

Total

17

/

20

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.

Validation — 14 / 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: 3 suspicious

Warning

Total

14

/

16

Passed

Repository

databricks/databricks-agent-skills

Path

plugins/databricks/claude/skills/databricks-docs/SKILL.md

Reviewed

Table of Contents

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