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.