
redis-patterns
Redis patterns including caching strategies, pub/sub, streams for event processing, Lua scripts, and data structures
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/rohitg00/awesome-claude-code-toolkit --skill redis-patterns- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads redis-patterns automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Redis Patterns
Caching Strategies
async function getUser(userId: string): Promise<User> {
const cacheKey = `user:${userId}`;
const cached = await redis.get(cacheKey);
if (cached) {
return JSON.parse(cached);
}
const user = await db.user.findUnique({ where: { id: userId } });
if (user) {
await redis.set(cacheKey, JSON.stringify(user), "EX", 3600);
}
return user;
}
async function invalidateUser(userId: string): Promise<void> {
await redis.del(`user:${userId}`);
await redis.del(`user:${userId}:orders`);
}
async function cacheAside<T>(
key: string,
ttlSeconds: number,
fetcher: () => Promise<T>
): Promise<T> {
const cached = await redis.get(key);
if (cached) return JSON.parse(cached);
const value = await fetcher();
await redis.set(key, JSON.stringify(value), "EX", ttlSeconds);
return value;
}
Rate Limiting with Sliding Window
async function isRateLimited(
clientId: string,
limit: number,
windowSeconds: number
): Promise<boolean> {
const key = `ratelimit:${clientId}`;
const now = Date.now();
const windowStart = now - windowSeconds * 1000;
const pipe = redis.multi();
pipe.zremrangebyscore(key, 0, windowStart);
pipe.zadd(key, now, `${now}:${crypto.randomUUID()}`);
pipe.zcard(key);
pipe.expire(key, windowSeconds);
const results = await pipe.exec();
const count = results[2][1] as number;
return count > limit;
}
Pub/Sub
const subscriber = redis.duplicate();
await subscriber.subscribe("notifications", "orders");
subscriber.on("message", (channel, message) => {
const event = JSON.parse(message);
switch (channel) {
case "notifications":
handleNotification(event);
break;
case "orders":
handleOrderEvent(event);
break;
}
});
async function publishEvent(channel: string, event: object): Promise<void> {
await redis.publish(channel, JSON.stringify(event));
}
Streams for Event Processing
async function produceEvent(stream: string, event: Record<string, string>) {
await redis.xadd(stream, "*", ...Object.entries(event).flat());
}
async function consumeEvents(
stream: string,
group: string,
consumer: string
) {
try {
await redis.xgroup("CREATE", stream, group, "0", "MKSTREAM");
} catch {
// group already exists
}
while (true) {
const results = await redis.xreadgroup(
"GROUP", group, consumer,
"COUNT", 10,
"BLOCK", 5000,
"STREAMS", stream, ">"
);
if (!results) continue;
for (const [, messages] of results) {
for (const [id, fields] of messages) {
await processMessage(fields);
await redis.xack(stream, group, id);
}
}
}
}
Streams provide durable, consumer-group-based event processing with acknowledgment and replay.
Lua Script for Atomic Operations
const acquireLock = `
local key = KEYS[1]
local token = ARGV[1]
local ttl = ARGV[2]
if redis.call("SET", key, token, "NX", "EX", ttl) then
return 1
end
return 0
`;
const releaseLock = `
local key = KEYS[1]
local token = ARGV[1]
if redis.call("GET", key) == token then
return redis.call("DEL", key)
end
return 0
`;
async function withLock<T>(
resource: string,
ttl: number,
fn: () => Promise<T>
): Promise<T> {
const token = crypto.randomUUID();
const acquired = await redis.eval(acquireLock, 1, `lock:${resource}`, token, ttl);
if (!acquired) throw new Error("Failed to acquire lock");
try {
return await fn();
} finally {
await redis.eval(releaseLock, 1, `lock:${resource}`, token);
}
}
Anti-Patterns
- Storing large objects (>100KB) in Redis without compression
- Using
KEYS *in production (blocks the server; useSCANinstead) - Not setting TTL on cache entries (memory grows unbounded)
- Using pub/sub for durable messaging (messages are lost if no subscriber is connected)
- Relying on Redis as the sole data store without persistence strategy
- Not using pipelines for multiple sequential commands
Checklist
- Cache keys follow a consistent naming convention (
entity:id:field) - All cache entries have a TTL to prevent memory leaks
-
SCANused instead ofKEYSfor pattern matching in production - Lua scripts used for operations requiring atomicity
- Streams used instead of pub/sub when durability is needed
- Connection pooling configured for high-throughput applications
- Rate limiting uses sliding window with sorted sets
- Distributed locks include fencing tokens and TTL
FAQ
What does the redis-patterns skill do?
Redis patterns including caching strategies, pub/sub, streams for event processing, Lua scripts, and data structures
How do I install redis-patterns?
Run npx skills add https://github.com/rohitg00/awesome-claude-code-toolkit --skill redis-patterns in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/redis-patterns/ (personal) or .claude/skills/redis-patterns/ (project).
Which AI agents can use redis-patterns?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is redis-patterns safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains redis-patterns?
It is published by rohitg00 in rohitg00/awesome-claude-code-toolkit. It has 195 recorded installs.
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