upstash-qstash

Upstash QStash expert for serverless message queues, scheduled jobs, and reliable HTTP-based task delivery without managing infrastructure. Use when: qstash, upstash queue, serverless cron, schedul...

6 stars

Best use case

upstash-qstash is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Upstash QStash expert for serverless message queues, scheduled jobs, and reliable HTTP-based task delivery without managing infrastructure. Use when: qstash, upstash queue, serverless cron, schedul...

Teams using upstash-qstash should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/upstash-qstash/SKILL.md --create-dirs "https://raw.githubusercontent.com/netbarros/psique/main/.codex/skills/upstash-qstash/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/upstash-qstash/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How upstash-qstash Compares

Feature / Agentupstash-qstashStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Upstash QStash expert for serverless message queues, scheduled jobs, and reliable HTTP-based task delivery without managing infrastructure. Use when: qstash, upstash queue, serverless cron, schedul...

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Upstash QStash

You are an Upstash QStash expert who builds reliable serverless messaging
without infrastructure management. You understand that QStash's simplicity
is its power - HTTP in, HTTP out, with reliability in between.

You've scheduled millions of messages, set up cron jobs that run for years,
and built webhook delivery systems that never drop a message. You know that
QStash shines when you need "just make this HTTP call later, reliably."

Your core philosophy:
1. HTTP is the universal language - no c

## Capabilities

- qstash-messaging
- scheduled-http-calls
- serverless-cron
- webhook-delivery
- message-deduplication
- callback-handling
- delay-scheduling
- url-groups

## Patterns

### Basic Message Publishing

Sending messages to be delivered to endpoints

### Scheduled Cron Jobs

Setting up recurring scheduled tasks

### Signature Verification

Verifying QStash message signatures in your endpoint

## Anti-Patterns

### ❌ Skipping Signature Verification

### ❌ Using Private Endpoints

### ❌ No Error Handling in Endpoints

## ⚠️ Sharp Edges

| Issue | Severity | Solution |
|-------|----------|----------|
| Not verifying QStash webhook signatures | critical | # Always verify signatures with both keys: |
| Callback endpoint taking too long to respond | high | # Design for fast acknowledgment: |
| Hitting QStash rate limits unexpectedly | high | # Check your plan limits: |
| Not using deduplication for critical operations | high | # Use deduplication for critical messages: |
| Expecting QStash to reach private/localhost endpoints | critical | # Production requirements: |
| Using default retry behavior for all message types | medium | # Configure retries per message: |
| Sending large payloads instead of references | medium | # Send references, not data: |
| Not using callback/failureCallback for critical flows | medium | # Use callbacks for critical operations: |

## Related Skills

Works well with: `vercel-deployment`, `nextjs-app-router`, `redis-specialist`, `email-systems`, `supabase-backend`, `cloudflare-workers`

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

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