Vant skill redis

Skill dhaupin/vant/models/public/skills/vant-skill-redis

Vant: Durable AI memory + cold storage + runtime for agents, with generational evolution, stored passively via GitHub. Built for long-running autonomous sessions, using file based persistence.

Install

npx -y skills add dhaupin/vant --skill vant-skill-redis

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

In-memory data store.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.2 KB, 320 tokens by cl100k_base, as published. Nobody here has run it

Redis

In-memory data store.

When To Use

Caching
Sessions
Real-time
Rate limiting

What To Do

1. Connect

import { createClient } from 'redis'

const client = createClient({
  url: 'redis://localhost:6379'
})
await client.connect()

2. Operations

Command	What
get/set	String values
hget/hset	Hash values
lpush/lrange	Lists
sadd/smembers	Sets
publish	Pub/sub

3. Patterns

// Cache
await client.set('user:1', JSON.stringify(user))
const user = JSON.parse(await client.get('user:1'))

// Session
await client.setex(`sess:${id}`, 3600, data)

// Rate limit
const count = await client.incr(`ratelimit:${key}`)

4. Use Cases

Use	Benefit
Cache DB	Speed
Session store	Speed
Pub/Sub	Real-time
Rate limit	Security

Output

## Redis

| Key | Type | TTL |
|-----|------|-----|
| user:1 | string | [n]s |

### operations
- [n] total

Role: Redis Operator
Input: Keys, values
Output: Fast data

In-memory speed.