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Redis Core

ASecurity

Core Redis modeling — choose the right data structure and consistent colon-separated key names. Use when designing a Redis data model, caching, building counters, leaderboards, or sessions, choosing Hash vs JSON, or reviewing key naming.

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Added 9/19/2026
developmentpythonjavaperformance

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A100/100

Pro scans all 3 files and shows the line behind each finding

Scanned 9/19/2026

$npx -y skills add jgamaraalv/delivery-loop --skill redis-core --agent claude-code

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SKILL.md
---
name: redis-core
description: Core Redis modeling — choose the right data structure and consistent colon-separated key names. Use when designing a Redis data model, caching, building counters, leaderboards, or sessions, choosing Hash vs JSON, or reviewing key naming.
---

# Redis Core

Foundational guidance for modeling data in Redis. Covers data-type selection and key-name conventions — the two decisions that most directly drive memory, performance, and maintainability.

## 1. Choose the right data structure

Pick the type that matches the *access pattern*, not just the shape of the data.

| Use case | Recommended type | Why |
|---|---|---|
| Simple values, counters | String | Atomic `INCR`/`DECR`, `SET`/`GET` |
| Object with independently updated fields | Hash | Per-field reads/writes, no whole-object rewrite |
| Queue, recent-N items | List | O(1) push/pop at ends |
| Unique items, membership checks | Set | O(1) `SADD`/`SISMEMBER`/`SCARD` |
| Rankings, score-based ranges | Sorted Set | Score-ordered; `ZADD`/`ZRANGE`/`ZRANK` |
| Nested / hierarchical data | JSON | Path-level updates, nested arrays, RQE indexing |
| Event log, fan-out messaging | Stream | Persistent, consumer groups |
| Vector similarity | Vector Set | Native vector storage with HNSW |

**Common anti-pattern:** stuffing a flat object into a serialized string. Updating one field means fetch + parse + mutate + rewrite. Use a Hash instead.

See [references/choose-data-structure.md](references/choose-data-structure.md) for full rationale and Python/Java examples.

## 2. Use consistent key names

Use `colon-separated` segments with a stable hierarchy:

```
{entity}:{id}:{attribute}
user:1001:profile
user:1001:settings
order:2024:items
session:abc123
article:987:likes
game:space-invaders:leaderboard
```

Rules of thumb:

- **Lowercase, colon-separated.** No spaces, no mixed casing (`User_1001_Profile` is bad).
- **Keep keys short but readable** — keys live in memory and appear in every command.
- **Don't use full URLs or long strings as keys.** Extract a short identifier, or use a hash digest of the URL.
- **Prefix for multi-tenancy** (`tenant:42:user:7:cart`) so scans and ACLs can target a tenant cleanly.
- **Be consistent.** Pick one convention per service and apply it across all keys.

See [references/key-naming.md](references/key-naming.md) for cleanup examples and edge cases.

## References

- [Redis: Choosing the right data type](https://redis.io/docs/latest/develop/data-types/compare-data-types/)
- [Redis: Keys](https://redis.io/docs/latest/develop/use/keyspace/)

Attribution

jgamaraalvjgamaraalv
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