القائمة
Use to add serverless Redis (caching, counters, sessions) or rate limiting over HTTP from edge/serverless runtimes.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/Rikinshah787/agent-skills-production-skills --skill upstash-redisيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | upstash-redis |
| title | Upstash Redis |
| category | Backend & Data |
| description | Use to add serverless Redis (caching, counters, sessions) or rate limiting over HTTP from edge/serverless runtimes. |
| tags | ["redis","cache","serverless","edge","rate-limiting","kv"] |
| official_docs | https://upstash.com/docs/redis |
| sources | ["https://upstash.com/docs/redis/overall/getstarted","https://upstash.com/docs/redis/sdks/ts/getstarted","https://upstash.com/docs/redis/sdks/ratelimit-ts/gettingstarted"] |
| last_verified | 2026-08-10T00:00:00.000Z |
Serverless, HTTP-based Redis that works from edge/serverless runtimes (Vercel, Cloudflare Workers, Lambda) where raw TCP is restricted. Pay-per-request, scales to zero.
npm install @upstash/redis
# For rate limiting:
npm install @upstash/ratelimit
UPSTASH_REDIS_REST_URL=https://<id>.upstash.io
UPSTASH_REDIS_REST_TOKEN=<token>
import { Redis } from "@upstash/redis";
const redis = Redis.fromEnv(); // reads UPSTASH_REDIS_REST_URL/_TOKEN
await redis.set("counter", 0);
await redis.incr("counter");
const value = await redis.get<number>("counter");
await redis.set("user:42", JSON.stringify(user), { ex: 60 }); // expires in 60s
const cached = await redis.<>();
await redis.zadd("scores", { score: 1, member: "team1" }); // sorted set
await redis.lpush("queue", "job-1"); // list
await redis.hset("people", { name: "joe" }); // hash
await redis.sadd("animals", "cat"); // set
import { Ratelimit } from "@upstash/ratelimit";
import { Redis } from "@upstash/redis";
const ratelimit = new Ratelimit({
redis: Redis.fromEnv(),
limiter: Ratelimit.slidingWindow(10, "10 s"), // 10 requests / 10s
analytics: true,
});
const identifier = userId ?? ip; // per-user or per-IP
const { success } = await ratelimit.limit(identifier);
if (!success) return new Response("Too many requests", { status: 429 });
import { Redis } from "@upstash/redis/cloudflare"; // edge-safe import
// Ensure background analytics/replication finish before the runtime exits:
const { success, pending } = await ratelimit.limit("id");
context.waitUntil(pending); // Workers; on Vercel use waitUntil from the Functions API
UPSTASH_REDIS_REST_URL and UPSTASH_REDIS_REST_TOKEN set in the host env (Vercel/Workers secrets).waitUntil(pending) in edge/serverless.prefix) if sharing a DB across apps to avoid collisions.| Symptom | Likely cause | Fix |
|---|---|---|
fromEnv() throws about missing env | Env vars not set / wrong names | Set UPSTASH_REDIS_REST_URL and _TOKEN exactly |
| Rate-limit counts/analytics missing on edge | Runtime exited before background ops | context.waitUntil(pending) |
| Values come back as strings, not objects | Redis stores strings | JSON.stringify on write, parse on read (or use typed get<T>) |
| Higher-than-expected cost | No TTLs / chatty polling | Add TTLs, cache aggressively, batch commands |
limit() call.