celebrity-studio-anything

Select 4-8 public figures per scenario and produce consensus, disagreement, reservations, and conditional routes.

94|9|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/jikjn/celebrity-studio-for-anything --skill celebrity-studio-anything
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: celebrity-studio-anything
Source: https://github.com/jikjn/celebrity-studio-for-anything/tree/main/codex-skill/celebrity-studio-anything
Command: npx skills add https://github.com/jikjn/celebrity-studio-for-anything --skill celebrity-studio-anything

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dynamic, scenario-specific collaboration among public figures for research and strategy, replacing static role templates with a living cast that can be challenged, defended, and synthesized into actionable conclusions.

Core Features & Use Cases

  • Select 4-8 concrete public figures per scenario and re-select per scenario
  • Track and expose anti-fit reasons, including rejected candidates
  • Conduct a salon-style debate with challenge, defense, revision, and synthesis
  • Produce outputs: consensus, disagreement, reservations, and conditional routes

Quick Start

Provide a scenario and run the celebrity-studio-anything pipeline to generate a cast, run cross-challenge debate, and produce a final report.

Frequently Asked Questions about celebrity-studio-anything

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

FAQPage Schema
What is a multi-agent celebrity research framework and how does it work?

A multi-agent celebrity research framework selects 4-8 concrete public figures for a given scenario, then conducts a salon-style debate with challenge, defense, and synthesis to produce consensus, disagreement, and conditional route outputs.

How do I run scenario analysis with selected and rejected public figures?

To run scenario analysis, provide a scenario to generate a dynamic cast of 4-8 public figures, track anti-fit reasons for rejected candidates, and enforce cross-challenge interactions to synthesize actionable conclusions.

Can I use multi-agent debate for brand strategy and negotiation research?

Yes, multi-agent debate applies to brand strategy, negotiation, education, and sports domains, using selected public figures to challenge and defend positions dynamically until synthesized conclusions are reached.

What's the best way to structure multi-agent consensus and disagreement outputs?

Structure multi-agent outputs by tracking consensus, disagreement, reservations, and conditional routes, ensuring the framework enforces interaction through challenge, defense, and revision across all selected agents.

Does dynamic role selection require predefined agent templates?

Dynamic role selection replaces static templates by re-selecting 4-8 concrete public figures per scenario, tracking anti-fit rejections, and generating a living cast for collaborative discussion without predefined agents.

Why does multi-agent scenario analysis include rejected candidates?

Multi-agent scenario analysis includes rejected candidates to expose anti-fit reasons, ensuring the selected 4-8 public figures are validated through challenge and defense before producing final synthesized conclusions.