tigerai-qa-mode

Run a staged Q&A interview to collect n8n workflow requirements.

84|23|Updated May 6, 2026
One-click install
npx skills add https://github.com/MorrisLu-Taipei/TigerAI-n8n-Skill-Pack --skill tigerai-qa-mode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tigerai-qa-mode
Source: https://github.com/MorrisLu-Taipei/TigerAI-n8n-Skill-Pack/tree/main/skills/tigerai/tigerai-qa-mode
Command: npx skills add https://github.com/MorrisLu-Taipei/TigerAI-n8n-Skill-Pack --skill tigerai-qa-mode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

tigerai-qa-mode helps people who don’t know what details to provide so their automation idea can be turned into a working n8n workflow.

Core Features & Use Cases

  • Five-stage guided Q&A: Collects trigger timing, inputs, ordered steps, output destination, and failure behavior in a calm step-by-step conversation.
  • Plain-language interviewing: Avoids technical jargon and keeps questions understandable for non-technical users.
  • Confirmation gate before generation: Produces a natural-language “sticky note” draft first, then generates the workflow only after the user confirms.

Quick Start

Ask the assistant to enable Q&A mode for building your n8n workflow from your description.

Frequently Asked Questions about tigerai-qa-mode

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

FAQPage Schema
How do I describe n8n automation requirements when I don't know what details to provide?

To describe n8n automation requirements clearly, you can use a guided interview that asks plain-language questions about triggers, inputs, steps, outputs, and error handling step by step. This staged Q&A process collects the necessary workflow details without requiring technical jargon.

What is the best way to specify n8n workflow triggers and error handling for non-technical users?

The best way to specify n8n workflow triggers and error handling is through a five-stage Q&A interview. It asks plain-language questions about trigger timing, inputs, ordered steps, output destinations, and failure behavior, ensuring non-technical users can define their workflow clearly.

Can I generate an n8n workflow from a short or incomplete natural language description?

Yes, you can generate an n8n workflow from a short or incomplete description. A staged Q&A process applies A/B-style options to extract missing details, producing a natural-language confirmation draft before building the final workflow.

How does a guided interview help build n8n workflows from natural language?

A guided interview helps build n8n workflows by asking stage-by-stage questions about triggers, inputs, steps, outputs, and failures. It creates a natural-language draft for user confirmation first, then uses internal chaining to generate the final workflow from the collected answers.

Do I need technical knowledge to define automation steps and outputs for n8n?

No, you do not need technical knowledge to define automation steps and outputs for n8n. The plain-language interviewing approach avoids technical jargon, using A/B-style options to gather ordered steps and output destinations in a step-by-step conversation.

Why does my n8n workflow generation fail when I provide incomplete automation requirements?

Workflow generation fails with incomplete requirements because essential details like triggers, inputs, steps, outputs, and error handling are missing. Using a confirmation gate with a natural-language draft ensures all information is collected and verified before final generation.