support-storm

Simulate support inboxes with user messages, reviews, and refund notes.

3|Updated Mar 27, 2026

Search Tags:#product launch #user experience #simulation #support #customer feedback #support diagnostics

Ready to run

npx skills add https://github.com/carlkibler/agent-skills --skill support-storm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: support-storm
Source: https://github.com/carlkibler/agent-skills/tree/main/skills/support-storm
Command: npx skills add https://github.com/carlkibler/agent-skills --skill support-storm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps teams anticipate and understand the support challenges that may arise during a product launch by simulating customer emails, reviews, and complaints, enabling proactive improvements.

Core Features & Use Cases

Support Inbox Simulation: Generate realistic, detailed examples of support tickets, public reviews, and refund requests based on product context.
Support Triaging: Analyze each artifact to identify missing critical facts, potential support bottlenecks, and common misconceptions.
Use Case: Before launching a new feature, simulate the support inbox to identify likely user misunderstandings and support issues, informing documentation and support strategies.

Quick Start

Ask the AI to generate a support challenge simulation for your upcoming product release.

Frequently Asked Questions about support-storm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I simulate support issues before a product launch?▼

To simulate support issues before a product launch, you can generate a realistic support inbox featuring user messages, reviews, and refund notes to identify potential support bottlenecks and areas needing UX improvements.

What is support triaging and how does it identify missing diagnostics?▼

Support triaging analyzes simulated support tickets and complaints to identify missing critical facts, potential support bottlenecks, and common user misconceptions that require better documentation or product adjustments.

How do I predict customer feedback and refund requests for a new feature?▼

You can predict customer feedback and refund requests by generating a detailed support inbox simulation based on your product context, which highlights likely user misunderstandings and support challenges.

Can I use support simulations to improve user experience and documentation?▼

Yes, simulating support issues proactively identifies common user misconceptions and missing diagnostics, directly informing your user experience improvements and support documentation strategies.

How do I identify missing diagnostics from simulated support tickets?▼

You identify missing diagnostics by analyzing generated support artifacts, such as user messages and refund notes, to pinpoint critical facts that are absent and reveal potential support bottlenecks.

What are the limitations of simulating support issues for product readiness?▼

Simulating support issues relies on provided product context to generate realistic tickets, meaning the accuracy of identifying support bottlenecks and UX improvements depends entirely on the quality of the input details.