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databricks-common-errors

Diagnose and fix Databricks common errors and exceptions. Use when encountering Databricks errors, debugging failed jobs, or troubleshooting cluster and notebook issues. Trigger with phrases like "databricks error", "fix databricks", "databricks not working", "debug databricks", "spark error".

74

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

87%

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

A lean, highly actionable diagnostic reference with executable fixes for each error category and clean section organization. The main gap is the absence of explicit verification checkpoints in the match-and-fix workflow.

Suggestions

Add an explicit verification step after applying a fix (e.g., re-query run/cluster state to confirm resolution) to turn the implicit 'Resolution verified' goal into a concrete checkpoint.

Reconcile or cross-link the Error Handling summary table with the detailed sections so the table reads as a navigation index rather than a partial restatement.

Clarify how the two top-level steps (Identify Error Source -> Match and Fix) connect to the verification and escalation path so the full diagnostic loop is sequenced end to end.

DimensionReasoningScore

Conciseness

Each error section jumps straight to a stated cause and executable fix with no padding or explanation of concepts Claude already knows; the only minor redundancy is the summary Error Handling table restating section content.

3 / 3

Actionability

Provides fully executable, copy-paste-ready guidance throughout — real SDK method calls (ensure_cluster_is_running, get_run_output), SQL GRANT statements, and CLI commands with concrete arguments.

3 / 3

Workflow Clarity

A two-step sequence (Identify Error Source, then Match and Fix) is present and the Delta section has a retry loop, but the overall flow lacks explicit validation/verification checkpoints confirming a fix succeeded, leaving the 'Resolution verified' output goal implicit.

2 / 3

Progressive Disclosure

A single, well-organized file with clearly labeled sections and no nested (2+ level) references; cross-skill pointers (databricks-rate-limits, databricks-debug-bundle) are clearly signaled one-hop links.

3 / 3

Total

11

/

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, specific description that names concrete actions, includes natural trigger phrases, and explicitly states both the capability and the invocation conditions. No significant weaknesses.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Diagnose and fix Databricks common errors and exceptions', 'debugging failed jobs', 'troubleshooting cluster and notebook issues' — rather than vague language.

3 / 3

Completeness

Explicitly answers both what ('Diagnose and fix Databricks common errors and exceptions') and when ('Use when encountering Databricks errors, debugging failed jobs, or troubleshooting cluster and notebook issues') with an explicit Use-when clause.

3 / 3

Trigger Term Quality

Provides natural trigger phrases a user would say ('databricks error', 'fix databricks', 'databricks not working', 'debug databricks', 'spark error') with good coverage.

3 / 3

Distinctiveness Conflict Risk

Targets a clear Databricks-error niche with distinct triggers, making it unlikely to fire for unrelated 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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