Name: redis-development
Rating: 86 (1 reviews)
Author: redis

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.

1.15x

Quality

81%

Does it follow best practices?

Impact

90%

1.15x

Average score across 3 eval scenarios

Securityby

Advisory

Suggest reviewing before use

Evaluation results

100%

E-commerce Product Search with Redis Query Engine

Redis Query Engine index design and querying

Criteria

Without context

With context

TAG for exact-match fields

100%

TEXT for full-text fields only

100%

NUMERIC for range fields

100%

Minimal field indexing

100%

Key prefix specified

100%

DIALECT 2 used

100%

Specific filters in queries

100%

LIMIT clause used

62%

100%

SORTABLE annotation

100%

RETURN clause used

100%

No wildcard scan queries

100%

78%

26%

Internal Knowledge Base RAG System

Vector search index configuration and RAG pipeline

Criteria

Without context

With context

Correct vector dimensions

100%

COSINE distance metric

37%

100%

FLOAT32 type specified

100%

42%

HNSW for large dataset

40%

HNSW M parameter set

Key prefix in index

42%

100%

RedisVL for RAG

100%

index.load() for batch insert

100%

VectorQuery with filter

60%

100%

Return fields specified

28%

100%

Context passed to LLM

100%

No client-side vector filtering

100%

94%

User Session and Feed Caching Layer

Redis client setup, pipelining, and cache key management

Criteria

Without context

With context

Connection pool used

100%

Single shared client instance

100%

Pipeline for bulk writes

100%

TTL set on cache keys

100%

Colon-separated key names

100%

Short meaningful key names

100%

Hash for multi-field objects

100%

Scan instead of KEYS

100%

Socket timeouts configured

100%

connect timeout < read timeout

No per-request connections

100%

pipeline() not transaction

100%

Repository: redis/agent-skills
Commit: 4eaff19

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

E-commerce Product Search with Redis Query Engine Internal Knowledge Base RAG System User Session and Feed Caching Layer

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.