disaster-recovery-testing

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 disaster-recovery-testing
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summary

Implement systematic disaster recovery testing to validate recovery procedures, measure RTO/RPO, identify gaps, and ensure team readiness for actual incidents.

skill.md

Disaster Recovery Testing

Table of Contents

Overview

Implement systematic disaster recovery testing to validate recovery procedures, measure RTO/RPO, identify gaps, and ensure team readiness for actual incidents.

When to Use

  • Annual DR exercises
  • Infrastructure changes
  • New service deployments
  • Compliance requirements
  • Team training
  • Recovery procedure validation
  • Cross-region failover testing

Quick Start

Minimal working example:

# dr-test-plan.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: dr-test-procedures
  namespace: operations
data:
  dr-test-plan.md: |
    # Disaster Recovery Test Plan

    ## Test Objectives
    - Validate backup restoration procedures
    - Verify failover mechanisms
    - Test DNS failover
    - Validate data integrity post-recovery
    - Measure RTO and RPO
    - Train incident response team

    ## Pre-Test Checklist
    - [ ] Notify stakeholders
    - [ ] Schedule 4-6 hour window
    - [ ] Disable alerting to prevent noise
    - [ ] Backup production data
    - [ ] Ensure DR environment is isolated
    - [ ] Have rollback plan ready
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
DR Test Plan and Execution DR Test Plan and Execution
DR Test Script DR Test Script
DR Test Automation DR Test Automation

Best Practices

✅ DO

  • Schedule regular DR tests
  • Document procedures in advance
  • Test in isolated environments
  • Measure actual RTO/RPO
  • Involve all teams
  • Automate validation
  • Record findings
  • Update procedures based on results

❌ DON'T

  • Skip DR testing
  • Test during business hours
  • Test against production
  • Ignore test failures
  • Neglect post-test analysis
  • Forget to re-enable monitoring
  • Use stale backup processes
  • Test only once a year
how to use disaster-recovery-testing

How to use disaster-recovery-testing 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 disaster-recovery-testing
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 disaster-recovery-testing

The skills CLI fetches disaster-recovery-testing 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/disaster-recovery-testing

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

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.743 reviews
  • Fatima Ramirez· Dec 24, 2024

    Registry listing for disaster-recovery-testing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chaitanya Patil· Dec 16, 2024

    disaster-recovery-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chen Khan· Dec 8, 2024

    disaster-recovery-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aditi Shah· Dec 4, 2024

    We added disaster-recovery-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ishan Bhatia· Nov 23, 2024

    disaster-recovery-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ama Kim· Nov 15, 2024

    disaster-recovery-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Li Rahman· Oct 18, 2024

    disaster-recovery-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Charlotte Anderson· Oct 14, 2024

    Registry listing for disaster-recovery-testing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Daniel Sanchez· Oct 6, 2024

    We added disaster-recovery-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kwame Taylor· Sep 25, 2024

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

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