Redis performance optimization across data structures, query engines, vector search, and semantic caching.
Works with
Covers 29 prioritized rules across 11 categories including data modeling, memory management, Redis Query Engine (RQE), vector search with RedisVL, and LangCache semantic caching
Provides structured guidance for connection pooling, JSON document handling, streams, clustering, security (ACLs), and observability
Each rule includes explanations, correct examples, anti-patterns or us
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionredis-developmentExecute the skills CLI command in your project's root directory to begin installation:
Fetches redis-development from redis/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate redis-development. Access via /redis-development in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
3
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3
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Run in your terminal
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Comprehensive performance optimization guide for Redis, including Redis Query Engine, vector search, and semantic caching. Contains 29 rules across 11 categories, prioritized by impact to guide automated optimization and code generation.
Reference these guidelines when:
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Data Structures & Keys | HIGH | data- |
| 2 | Memory & Expiration | HIGH | ram- |
| 3 | Connection & Performance | HIGH | conn- |
| 4 | JSON Documents | MEDIUM | json- |
| 5 | Redis Query Engine | HIGH | rqe- |
| 6 | Vector Search & RedisVL | HIGH | vector- |
| 7 | Semantic Caching | MEDIUM | semantic-cache- |
| 8 | Streams & Pub/Sub | MEDIUM | stream- |
| 9 | Clustering & Replication | MEDIUM | cluster- |
| 10 | Security | HIGH | security- |
| 11 | Observability | MEDIUM | observe- |
data-choose-structure - Choose the Right Data Structuredata-key-naming - Use Consistent Key Naming Conventionsram-limits - Configure Memory Limits and Eviction Policiesram-ttl - Set TTL on Cache Keysconn-blocking - Avoid Slow Commands in Productionconn-pipelining - Use Pipelining for Bulk Operationsconn-pooling - Use Connection Pooling or Multiplexingconn-timeouts - Configure Connection Timeoutsjson-partial-updates - Use JSON Paths for Partial Updatesjson-vs-hash - Choose JSON vs Hash Appropriatelyrqe-dialect - Use DIALECT 2 for Query Syntaxrqe-field-types - Choose the Correct Field Typerqe-index-creation - Index Only Fields You Queryrqe-index-management - Manage Indexes for Zero-Downtime Updatesrqe-query-optimization - Write Efficient Queriesvector-algorithm-choice - Choose HNSW vs FLAT Based on Requirementsvector-hybrid-search - Use Hybrid Search for Better Resultsvector-index-creation - Configure Vector Indexes Properlyvector-rag-pattern - Implement RAG Pattern Correctlysemantic-cache-best-practices - Configure Semantic Cache Properlysemantic-cache-langcache-usage - Use LangCache for LLM Response Cachingstream-choosing-pattern - Choose Streams vs Pub/Sub Appropriatelycluster-hash-tags - Use Hash Tags for Multi-Key Operationscluster-read-replicas - Use Read Replicas for Read-Heavy Workloadssecurity-acls - Use ACLs for Fine-Grained Access Controlsecurity-auth - Always Use Authentication in Productionsecurity-network - Secure Network Accessobserve-commands - Use Observability Commands for Debuggingobserve-metrics - Monitor Key Redis MetricsRead individual rule files for detailed explanations and code examples:
rules/rqe-index-creation.md
rules/vector-rag-pattern.md
Each rule file contains:
For the complete guide with all rules expanded: AGENTS.md
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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redis-development is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
redis-development has been reliable in day-to-day use. Documentation quality is above average for community skills.
redis-development reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: redis-development is focused, and the summary matches what you get after install.
redis-development fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend redis-development for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in redis-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
redis-development has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added redis-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added redis-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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