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redis/agent-skills1.2k installs

redis-core

Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.

How do I install this agent skill?

npx skills add https://github.com/redis/agent-skills --skill redis-core
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Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides foundational guidance for Redis data modeling, focusing on data structure selection and key naming conventions. It is an educational resource containing documentation, code examples, and evaluation benchmarks. No security risks or malicious behaviors were detected.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

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.

When to apply

  • Caching objects, sessions, or per-user state.
  • Counters, leaderboards, recent-items lists, unique-membership sets.
  • Reviewing or refactoring Redis key names.
  • Deciding between a Redis Hash and a JSON document for an entity.

1. Choose the right data structure

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

Use caseRecommended typeWhy
Simple values, countersStringAtomic INCR/DECR, SET/GET
Object with independently updated fieldsHashPer-field reads/writes, no whole-object rewrite
Queue, recent-N itemsListO(1) push/pop at ends
Unique items, membership checksSetO(1) SADD/SISMEMBER/SCARD
Rankings, score-based rangesSorted SetScore-ordered; ZADD/ZRANGE/ZRANK
Nested / hierarchical dataJSONPath-level updates, nested arrays, RQE indexing
Event log, fan-out messagingStreamPersistent, consumer groups
Vector similarityVector SetNative 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 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 for cleanup examples and edge cases.

References

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/redis/agent-skills/redis-core">View redis-core on skillZs</a>