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sql-pro

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database optimization or complex analysis.

48

Quality

52%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/sql-pro/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

20%

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

The content reads as a verbose persona/role definition rather than actionable skill guidance — it lists products and restates SQL knowledge Claude already has while providing only abstract, non-executable instructions. Workflow steps lack the explicit validation feedback loops expected for database operations.

Suggestions

Cut the enumerated product lists and the 'Behavioral Traits'/'Knowledge Base' persona sections; keep only guidance Claude does not already know, to fix conciseness.

Replace the abstract Instructions/Response Approach with concrete, executable examples — e.g., an EXPLAIN-based optimization snippet with specific index-creation commands — to improve actionability.

Add an explicit validate→fix→retry feedback loop (e.g., 'If EXPLAIN shows a sequential scan on a large table, add the missing index and re-run EXPLAIN') for database operations, which the scoring notes expect.

DimensionReasoningScore

Conciseness

The ~165-line body is padded with persona restatement and enumerated product lists (Aurora, BigQuery, Redshift, Neo4j, etc.) plus 'Behavioral Traits' and 'Knowledge Base' sections that restate concepts Claude already knows, matching the verbose/padded anchor.

1 / 3

Actionability

The Instructions ('Define query goals', 'Inspect schema', 'Optimize queries and validate with EXPLAIN') and Response Approach steps are abstract directives with no concrete code, commands, or executable examples — it describes rather than instructs, and the instruction-only guidance is not actionable enough to offset the lack of code.

1 / 3

Workflow Clarity

Sequenced steps exist (Instructions 1-4, Response Approach 1-8) but validation is only implicit ('validate with EXPLAIN', 'Verify correctness under load'); for database operations the scoring note expects an explicit validate→fix→retry feedback loop, which is absent, capping this at 2.

2 / 3

Progressive Disclosure

The body is a single monolithic block with many sections (Capabilities, Behavioral Traits, Knowledge Base) that could be split into separate reference files, and no bundle files or external references are signaled, but it is at least organized into headed sections.

2 / 3

Total

6

/

12

Passed

Description

85%

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 specific and reasonably distinctive with an explicit use-trigger, though its trigger phrasing is directive ('Use PROACTIVELY') rather than mirroring natural user language. It answers both what and when clearly.

DimensionReasoningScore

Specificity

The description names multiple concrete domains and actions — 'cloud-native databases, OLTP/OLAP optimization, and advanced query techniques' and 'performance tuning, data modeling, and hybrid analytical systems' — matching the anchor that lists several specific concrete actions.

3 / 3

Completeness

It answers both what ('Master modern SQL with cloud-native databases, OLTP/OLAP optimization...') and when with an explicit trigger clause ('Use PROACTIVELY for database optimization or complex analysis'), satisfying the 'what AND when' anchor.

3 / 3

Trigger Term Quality

It includes some relevant keywords ('database optimization', 'complex analysis', 'OLTP/OLAP') but misses common natural variations a user would say (e.g., 'slow query', 'index', 'EXPLAIN', 'schema design'), and 'Use PROACTIVELY' is directive phrasing rather than natural user language.

2 / 3

Distinctiveness Conflict Risk

'Master modern SQL' combined with OLTP/OLAP and cloud-native databases carves a clear niche with distinct triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

11

/

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

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
rmyndharis/antigravity-skills
Reviewed

Table of Contents

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