redis

Redis caching patterns, pub/sub, sessions, rate limiting, and data structures.

509 stars

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

$curl -o ~/.claude/skills/redis/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/web-development/skills/redis/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/redis/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How redis Compares

Feature / AgentredisStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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-management