deeptalk

Clarify user needs through AI-guided iterative questioning and document requirements.

5|1|Updated Apr 7, 2026

Search Tags:#documentation #requirements #analysis #ambiguity #stakeholders #ai-interview

Ready to run

npx skills add https://github.com/ayanjiushishuai/dev_toolkits --skill deeptalk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deeptalk
Source: https://github.com/ayanjiushishuai/dev_toolkits/tree/main/skills/deeptalk
Command: npx skills add https://github.com/ayanjiushishuai/dev_toolkits --skill deeptalk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams uncover the real user needs by enabling rapid, high-frequency dialogue that surfaces ambiguities and ensures requirements are captured in a single cohesive document.

Core Features & Use Cases

AI-led interrogation of requirements to identify gaps, conflicts, and omissions across code, design, and documentation.
Automatic consolidation of insights into a structured requirements document, ready for review and traceability.
Use Case: When starting a new feature with vague scope, trigger deeptalk to elicit specifics, confirm acceptance criteria, and record decisions.

Quick Start

Trigger with /deeptalk or 讨论:<主题> to start a deep requirement exploration led by AI.

Frequently Asked Questions about deeptalk

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

FAQPage Schema

How do I clarify ambiguous software requirements with stakeholders?▼

Ambiguous software requirements are clarified through AI-guided iterative questioning that surfaces gaps and conflicts across code, design, and documentation. This structured discourse ensures real user needs are captured in a single cohesive document ready for review.

What is the best way to document evolving feature scopes during product analysis?▼

Documenting evolving feature scopes is best handled by consolidating AI-led interrogation insights into an automatic, structured requirements document. This ensures traceable integration with project artifacts and confirms acceptance criteria as decisions are made.

How do I start an AI interview to elicit specifics for a new feature spec?▼

You start an AI interview to elicit specifics by triggering the tool with a command or a discussion topic prompt. This initiates a high-frequency dialogue to explore deep requirements, confirm scope boundaries, and record decisions.

Can I use AI-led questioning to identify omissions in existing project documentation?▼

Yes, AI-led questioning can interrogate existing project documentation to identify gaps, conflicts, and omissions. It cross-references code and design artifacts to ensure all ambiguities are surfaced and resolved before development.

When should I use AI-guided requirement analysis instead of traditional stakeholder meetings?▼

AI-guided requirement analysis should be used when starting a new feature with vague scope or when project boundaries are continuously evolving. It replaces traditional meetings by driving rapid, high-frequency dialogue to uncover hidden ambiguities automatically.