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redis-development

Redis performance optimization and best practices. Use this skill when working with Redis data structures, Redis Query Engine (RQE), vector search with RedisVL, semantic caching with LangCache, or optimizing Redis performance.

86

1.15x
Quality

81%

Does it follow best practices?

Impact

90%

1.15x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Discovery

89%

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

This is a solid skill description with excellent trigger term coverage and clear 'when to use' guidance. The main weakness is the vague capability statement ('performance optimization and best practices') which doesn't specify concrete actions Claude can perform. The Redis-specific terminology provides good distinctiveness.

Suggestions

Replace 'performance optimization and best practices' with specific actions like 'Configure Redis indexes, tune memory settings, design efficient data structures, implement caching strategies'

Add concrete deliverables such as 'analyze slow queries, recommend index configurations, optimize vector search parameters'

DimensionReasoningScore

Specificity

Names the domain (Redis) and mentions specific technologies (RQE, RedisVL, LangCache), but 'performance optimization and best practices' is vague. Lacks concrete actions like 'configure indexes', 'tune memory settings', or 'implement caching strategies'.

2 / 3

Completeness

Clearly answers both what ('Redis performance optimization and best practices') and when ('Use this skill when working with Redis data structures, Redis Query Engine...or optimizing Redis performance'). Has explicit 'Use this skill when' clause with multiple trigger scenarios.

3 / 3

Trigger Term Quality

Good coverage of natural terms: 'Redis', 'Redis data structures', 'Redis Query Engine', 'RQE', 'vector search', 'RedisVL', 'semantic caching', 'LangCache', 'Redis performance'. These are terms users would naturally use when working with Redis.

3 / 3

Distinctiveness Conflict Risk

Very specific niche focused on Redis ecosystem with distinct product names (RedisVL, LangCache, RQE). Unlikely to conflict with general database skills or other caching solutions due to Redis-specific terminology.

3 / 3

Total

11

/

12

Passed

Implementation

72%

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

This skill functions well as an index/navigation document for Redis best practices, with excellent organization and progressive disclosure. However, it lacks actionable content in the main file itself—no code examples, no concrete commands, and no workflow for applying the rules. It relies entirely on external rule files for actual guidance.

Suggestions

Add 2-3 concrete code examples for the highest-impact rules (e.g., connection pooling, vector index creation) directly in the main skill file

Include a brief workflow section showing how to apply these rules during a typical Redis optimization task (e.g., 'When optimizing existing code: 1. Run SLOWLOG GET, 2. Check rules in conn- category, 3. Apply fixes, 4. Verify with INFO stats')

Add at least one copy-paste ready command for quick diagnostics (e.g., 'redis-cli INFO memory | grep used_memory')

DimensionReasoningScore

Conciseness

The content is lean and well-organized, using tables and bullet lists efficiently. It assumes Claude's competence with Redis and doesn't explain basic concepts unnecessarily.

3 / 3

Actionability

The skill provides a clear organizational structure and references to rule files, but lacks any concrete code examples or executable commands in the main document itself. It's essentially an index/table of contents pointing elsewhere.

2 / 3

Workflow Clarity

The 'When to Apply' section provides context for usage, but there's no clear workflow for how to actually apply these rules during development. No validation steps or sequenced process for optimization tasks.

2 / 3

Progressive Disclosure

Excellent structure with a clear overview, priority-ordered categories, and well-signaled one-level-deep references to individual rule files. The 'How to Use' section clearly explains navigation to detailed content.

3 / 3

Total

10

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
redis/agent-skills
Reviewed

Table of Contents

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