dinner-party

Assemble 5-7 historical thinkers for structured debates with filterable attributes.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/louisgillies/mindframe --skill dinner-party
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dinner-party
Source: https://github.com/louisgillies/mindframe/tree/main/skills/dinner-party
Command: npx skills add https://github.com/louisgillies/mindframe --skill dinner-party

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Assemble a diverse roster of historical thinkers to debate ideas, surface friction, and illuminate perspectives through structured dialogue.

Core Features & Use Cases

  • Guest roster with tag-based filtering across locale, era, domain, thinking, and energy.
  • Configurable conversation modes: quick round, debate, full dinner, and synthesis.
  • Guidance and guardrails to keep discussions focused on ideas and evidence.
  • Exportable transcripts and prompts to support analysis, reporting, and reuse.

Quick Start

Ask the AI to assemble 5-7 thinkers and run a quick round on the topic.

Frequently Asked Questions about dinner-party

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

FAQPage Schema
How do I simulate a debate between historical thinkers from different domains?

You can filter the historical thinkers roster using tag-based attributes like locale, era, domain, thinking style, and energy. This allows you to customize the cross-domain debate panel to fit specific historical or philosophical contexts.

What is the best way to structure a cross-domain dialogue for rapid analysis?

Configurable conversation modes include quick round, debate, full dinner, and synthesis. Each mode structures the historical thinkers' dialogue differently to suit various analytical and reading requirements.

Can I export cross-domain debate transcripts for further analysis?

Yes, you can export cross-domain debate transcripts and prompts. This feature supports downstream analysis, reporting, and reuse of the structured dialogue generated by the historical thinkers panel.

How do I keep an AI-generated historical debate focused on evidence?

To keep an AI-generated historical debate focused on evidence, the Skill provides built-in guidance and guardrails. These mechanisms ensure the assembled thinkers maintain discussions strictly on ideas and supporting evidence.