upstash-qstash

davila7/claude-code-templates · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/davila7/claude-code-templates --skill upstash-qstash
0 commentsdiscussion
summary

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.
skill.md

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

how to use upstash-qstash

How to use upstash-qstash on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add upstash-qstash
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill upstash-qstash

The skills CLI fetches upstash-qstash from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/upstash-qstash

Reload or restart Cursor to activate upstash-qstash. Access the skill through slash commands (e.g., /upstash-qstash) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.636 reviews
  • Nikhil Martinez· Dec 28, 2024

    upstash-qstash is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Zaid Haddad· Dec 20, 2024

    Registry listing for upstash-qstash matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Shikha Mishra· Dec 12, 2024

    Useful defaults in upstash-qstash — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Nikhil Robinson· Dec 8, 2024

    upstash-qstash fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yuki Kapoor· Nov 19, 2024

    upstash-qstash reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yuki Jain· Nov 11, 2024

    Keeps context tight: upstash-qstash is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Nov 3, 2024

    upstash-qstash has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dhruvi Jain· Oct 22, 2024

    Solid pick for teams standardizing on skills: upstash-qstash is focused, and the summary matches what you get after install.

  • Diya Thompson· Oct 10, 2024

    Registry listing for upstash-qstash matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kiara Kapoor· Oct 2, 2024

    upstash-qstash is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

showing 1-10 of 36

1 / 4