Installation
npx skills add oakoss/agent-skills --skill valkey 51
Installs
Valkey
Open-source, Redis-compatible in-memory data store maintained by the Linux Foundation. Forked from Redis OSS 7.2.4 (BSD 3-Clause license). Drop-in replacement for Redis OSS 2.x through 7.2.x — same protocol, commands, and data formats.
When to use: Caching, session storage, rate limiting, pub/sub messaging, task queues, leaderboards, distributed locks, real-time counters, or any workload requiring sub-millisecond key-value operations.
When NOT to use: Primary relational data store, large object storage (>512 MB values), workloads requiring strong ACID transactions across multiple keys without Lua scripting.
Quick Reference
| Task | Approach | Key Point |
|---|---|---|
| Cache-aside | GET -> miss -> DB read -> SET key val EX ttl |
Always set a TTL, even a long one |
| Session storage | HSET session:{id} field val + EXPIRE |
Sliding TTL on each request |
| Rate limiting | INCR + EXPIRE (fixed window) or sorted set (sliding) |
Sorted set for precision |
| Distributed lock | SET lock:{res} token NX PX 30000 |
Always set expiry to prevent deadlocks |
| Queue (simple) | LPUSH + BRPOP |
Blocking pop with timeout |
| Queue (reliable) | Streams + XGROUP + XACK |
Consumer groups for at-least-once |
| Pub/Sub | SUBSCRIBE / PUBLISH |
Fire-and-forget, no persistence |
| Streams | XADD + XREADGROUP |
Persistent, replayable, consumer groups |
| Leaderboard | Sorted set: ZADD / ZREVRANGE |
O(log N) rank operations |
| Unique count | PFADD + PFCOUNT (HyperLogLog) |
~12 KB memory, 0.81% error |
| Eviction policy | maxmemory-policy allkeys-lru |
Best default for most workloads |
| Docker setup | valkey/valkey:8.1-alpine |
Health check: valkey-cli ping |
| Persistence | AOF (appendonly yes) + RDB snapshots |
AOF for durability, RDB for backups |
| Client library | ioredis or iovalkey (official fork) |
All Redis clients work unchanged |
| Migrate from Redis | Swap binary, keep data files | RDB/AOF compatible through Redis 7.2 |
Common Mistakes
| Mistake | Correct Pattern |
|---|---|
Using KEYS * in production |
Use SCAN with cursor for iteration |
| No TTL on cache keys | Always set TTL — unbounded growth causes OOM |
DEL on large keys blocking server |
Use UNLINK for async deletion |
| Pub/Sub for durable messaging | Use Streams with consumer groups for persistence |
| Same TTL on all keys (thundering herd) | Add jitter: EX (base + random(0, spread)) |
No maxmemory set in production |
Set maxmemory + eviction policy explicitly |
Using MULTI/EXEC for locking |
Use SET ... NX PX for distributed locks |
| Storing large blobs (>1 MB values) | Store references; keep values small |
| No health check in Docker Compose | Add valkey-cli ping health check |
Ignoring requirepass in production |
Always set authentication + ACLs |
Delegation
- Discover caching patterns and data model review: Use
Exploreagent - Plan migration strategy from Redis to Valkey: Use
Planagent - Implement full caching layer with tests: Use
Taskagent
If the
dockerskill is available, delegate Compose networking and multi-stage build patterns to it.
If theperformance-optimizerskill is available, delegate application-level caching strategy to it.
If thedatabase-securityskill is available, delegate ACL and TLS configuration review to it.
References
- Data structures and commands -- Strings, hashes, lists, sets, sorted sets, streams, HyperLogLog, bitmaps, geospatial
- Caching patterns -- Cache-aside, write-through, TTL strategies, eviction policies, client-side caching, invalidation
- Common patterns -- Rate limiting, distributed locks, queues, session storage, pub/sub, streams, leaderboards
- Docker and deployment -- Compose setup, persistence, replication, Sentinel, Cluster, security, migration from Redis
Installs
Security Audit
View Source
oakoss/agent-skills
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How to use this skill
Install valkey by running npx skills add oakoss/agent-skills --skill valkey in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of valkey, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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