Developer Productivity

Redis Core

Redis, Inc.MITSkill language: English
License verifiedNo scripts
DemoReal run · claude-sonnet-5-5 · October 2026
I'm building a game leaderboard and a user profile cache on Redis. Right now our devs store each user as a JSON string under keys like 'User_1001_Profile' and update the email by fetching, parsing and rewriting the whole string. How should I model this, and what should the keys look like?
Skill: redis-core

Recommendation

Profile cache: use a Hash per user. Leaderboard: use a Sorted Set per board.

User profile: Hash

The JSON string forces fetch, parse, mutate and rewrite for every change. A Hash lets you touch one field at a time:

HSET user:1001:profile name "Ada" email "[email protected]" level 42 country "DE"

HSET  user:1001:profile email "[email protected]"   # update one field, no read needed
HGET  user:1001:profile email                      # read one field
HGETALL user:1001:profile                          # read everything
HINCRBY user:1001:profile level 1                  # atomic numeric update
EXPIRE user:1001:profile 3600                      # TTL, since this is a cache

This is atomic, needs no read-modify-write cycle, and avoids lost updates when two writers race. It also sends far less data over the wire.

Hashes hold flat field/value pairs. If the profile has nested data, such as arrays of items or sub-objects, use the JSON type (JSON.SET user:1001:profile $.address.city '"Berlin"'). Otherwise a Hash is simpler and lighter. You can also keep rarely changed nested parts in a separate key, for example user:1001:settings.

Leaderboard: Sorted Set

ZADD   game:space-invaders:leaderboard 12500 user:1001   # set/update score
ZINCRBY game:space-invaders:leaderboard 300 user:1001     # add points atomically
ZREVRANGE game:space-invaders:leaderboard 0 9 WITHSCORES  # top 10
ZREVRANK  game:space-invaders:leaderboard user:1001       # a player's rank

The member should be the user ID, not the whole profile. To render the board, take the top N IDs and fetch each profile with HMGET or HGETALL, pipelined.

Key naming

Use lowercase, colon-separated keys in the form {entity}:{id}:{attribute}. User_1001_Profile breaks that convention in casing, separators and order.

Purpose Key
Profile user:1001:profile
Settings user:1001:settings
Global leaderboard game:space-invaders:leaderboard
Periodic board game:space-invaders:leaderboard:2026-w43
Session session:abc123

Further tips:

  • Keep keys short, because they live in memory and appear in every command.
  • Pick one convention and apply it everywhere.
  • If you're multi-tenant, prefix with the tenant (tenant:42:user:1001:profile). That makes scans and ACLs easy to scope.
  • Time-bucketed leaderboard keys such as weekly or daily boards can be expired or rotated with EXPIRE.

Migration

  1. Write a one-off script that reads each User_*_Profile string, parses it and does HSET user:{id}:profile ....
  2. Have the app write to the new keys, or dual-write briefly.
  3. Delete the old keys once reads are fully switched over. Use SCAN for this, never KEYS.

I can sketch the migration script or the client code in Python or Java if that would help.

Pure-instruction skill, so the trial gave the model only the Skill and Read tools: no network, no shell, no Redis server. The request mixes a data-model question with a key-renaming question.

What it does
Helps the model model data in Redis the way Redis, Inc. recommends: match the data type to the access pattern, and use short, lowercase, colon-separated key names such as user:1001:profile.

How it works

  1. A decision table maps use cases (counters, objects, queues, unique sets, rankings, nested data, event logs, vectors) to a Redis type.
  2. It flags the common anti-pattern of storing a flat object as one serialized string, and shows the Hash alternative in Python (redis-py) and Java (Jedis).
  3. It gives key-naming rules: {entity}:{id}:{attribute}, no spaces or mixed case, no URLs as keys, a tenant prefix for multi-tenant apps.

Good for
Designing a Redis data model, caching objects or sessions, building counters and leaderboards, and cleaning up inconsistent key names.

Limits
A short skill (about 7 KB with two reference files). It covers data types and key names only; it does not cover clustering, persistence or search.

Notes & risks

Low risk: pure instruction files from the official Redis repository (MIT). No scripts, no network access, no file writes, no account or key needed. It only advises; it does not connect to your Redis. Check any migration advice against your own data before running it.

SKILL.md original4 files in this package