#601

Globales Ranking · von 601 Skills

valkey AI Agent Skill

Quellcode ansehen: oakoss/agent-skills

Medium

Installation

npx skills add oakoss/agent-skills --skill valkey

51

Installationen

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 Explore agent
  • Plan migration strategy from Redis to Valkey: Use Plan agent
  • Implement full caching layer with tests: Use Task agent

If the docker skill is available, delegate Compose networking and multi-stage build patterns to it.
If the performance-optimizer skill is available, delegate application-level caching strategy to it.
If the database-security skill 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

Installationen

Installationen 51
Globales Ranking #601 von 601

Sicherheitsprüfung

ath Safe
socket Safe
Warnungen: 0 Bewertung: 90
snyk Medium
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So verwenden Sie diesen Skill

1

Install valkey by running npx skills add oakoss/agent-skills --skill valkey in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für valkey, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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