idempotency-handling

aj-geddes/useful-ai-prompts · updated Apr 8, 2026

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$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill idempotency-handling
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summary

Implement idempotency to ensure operations produce the same result regardless of how many times they're executed.

skill.md

Idempotency Handling

Table of Contents

Overview

Implement idempotency to ensure operations produce the same result regardless of how many times they're executed.

When to Use

  • Payment processing
  • API endpoints with retries
  • Webhooks and callbacks
  • Message queue consumers
  • Distributed transactions
  • Bank transfers
  • Order creation
  • Email sending
  • Resource creation

Quick Start

Minimal working example:

import express from "express";
import Redis from "ioredis";
import crypto from "crypto";

interface IdempotentRequest {
  key: string;
  status: "processing" | "completed" | "failed";
  response?: any;
  error?: string;
  createdAt: number;
  completedAt?: number;
}

class IdempotencyService {
  private redis: Redis;
  private ttl = 86400; // 24 hours

  constructor(redisUrl: string) {
    this.redis = new Redis(redisUrl);
  }

  async getRequest(key: string): Promise<IdempotentRequest | null> {
    const data = await this.redis.get(`idempotency:${key}`);
    return data ? JSON.parse(data) : null;
  }
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
Express Idempotency Middleware Express Idempotency Middleware
Database-Based Idempotency Database-Based Idempotency
Stripe-Style Idempotency Stripe-Style Idempotency
Message Queue Idempotency Message Queue Idempotency

Best Practices

✅ DO

  • Require idempotency keys for mutations
  • Store request and response together
  • Set appropriate TTL for idempotency records
  • Validate request body matches stored request
  • Handle concurrent requests gracefully
  • Return same response for duplicate requests
  • Clean up old idempotency records
  • Use database constraints for atomicity

❌ DON'T

  • Apply idempotency to GET requests
  • Store idempotency data forever
  • Skip validation of request body
  • Use non-unique idempotency keys
  • Process same request concurrently
  • Change response for duplicate requests
how to use idempotency-handling

How to use idempotency-handling 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 idempotency-handling
2

Execute installation command

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

$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill idempotency-handling

The skills CLI fetches idempotency-handling from GitHub repository aj-geddes/useful-ai-prompts 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/idempotency-handling

Reload or restart Cursor to activate idempotency-handling. Access the skill through slash commands (e.g., /idempotency-handling) 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.

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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

4.764 reviews
  • Zaid Gill· Dec 28, 2024

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

  • Arjun Yang· Dec 24, 2024

    I recommend idempotency-handling for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Shikha Mishra· Dec 20, 2024

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

  • Min Agarwal· Dec 8, 2024

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

  • Zaid Ghosh· Nov 27, 2024

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

  • Zaid Bansal· Nov 19, 2024

    I recommend idempotency-handling for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Luis Taylor· Nov 15, 2024

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

  • Rahul Santra· Nov 11, 2024

    I recommend idempotency-handling for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Valentina Perez· Nov 7, 2024

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

  • Valentina Mensah· Oct 26, 2024

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

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