redis
Redis caching patterns, pub/sub, sessions, rate limiting, and data structures.
Best use case
redis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Redis caching patterns, pub/sub, sessions, rate limiting, and data structures.
Teams using redis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/redis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How redis Compares
| Feature / Agent | redis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Redis caching patterns, pub/sub, sessions, rate limiting, and data structures.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Redis Skill
Expert assistance for Redis caching and data management.
## Capabilities
- Implement caching strategies
- Build pub/sub systems
- Manage sessions
- Implement rate limiting
- Use Redis data structures
## Caching Pattern
```typescript
async function getCachedUser(id: string) {
const cached = await redis.get(`user:${id}`);
if (cached) return JSON.parse(cached);
const user = await db.user.findUnique({ where: { id } });
await redis.setex(`user:${id}`, 3600, JSON.stringify(user));
return user;
}
```
## Rate Limiting
```typescript
async function rateLimit(ip: string, limit = 100, window = 60) {
const key = `ratelimit:${ip}`;
const count = await redis.incr(key);
if (count === 1) await redis.expire(key, window);
return count <= limit;
}
```
## Target Processes
- caching-implementation
- real-time-features
- session-managementRelated Skills
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