corporate-decision-panel

Emulate SMB executive committee decisions through a structured agent cascade.

Updated Feb 22, 2026
One-click install
npx skills add https://github.com/apatheticus/corporate-decision-panel --skill corporate-decision-panel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: corporate-decision-panel
Source: https://github.com/apatheticus/corporate-decision-panel/tree/main
Command: npx skills add https://github.com/apatheticus/corporate-decision-panel --skill corporate-decision-panel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, Pillow, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides structured, multi-perspective analysis for business decisions, moving beyond single-voice AI to deliver engineered dissent and robust decision-making.

Core Features & Use Cases

  • Tiered Engagement: From quick /consult to full /deliberate board meetings.
  • Engineered Dissent: Skeptic-heavy roster ensures risks and objections are surfaced.
  • Multi-Mode Synthesis: Five decision modes (Guardian, Pioneer, Analyst, etc.) reveal how risk appetite shapes outcomes.
  • Use Case: Present a strategic question like "Should we acquire CompetitorX?" and receive a comprehensive Decision Record detailing C-suite perspectives, fault lines, and a CEO-synthesized recommendation, complete with production-ready artifacts.

Quick Start

Use the corporate decision panel skill to consult the CFO about hiring capacity.

Frequently Asked Questions about corporate-decision-panel

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

FAQPage Schema
How does AI agent simulation improve business strategy decision making?

AI agent simulation improves business strategy decision making by emulating an executive committee to provide structured, multi-perspective analysis. It uses engineered dissent to surface risks and objections, moving beyond single-voice AI for robust outcomes.

What is engineered dissent in executive simulation for risk analysis?

Engineered dissent in executive simulation is a mechanism using a skeptic-heavy roster of C-suite agents to intentionally surface risks and objections. This ensures fault lines are identified during domain analysis before final strategy synthesis.

How do I use AI agents to simulate a C-suite for strategic business intelligence?

You use AI agents to simulate a C-suite by presenting a strategic question and routing it through a structured agent cascade. The agents provide domain analysis, delegate to team leads for specialist findings, and synthesize a final CEO recommendation.

Can I get a quick risk analysis without running a full executive committee simulation?

Yes, you can get quick risk analysis without a full simulation by using the tiered engagement feature. This allows you to consult specific C-suite executives, like a CFO, for rapid domain analysis without triggering a complete board meeting.

Does the corporate-decision-panel support different risk appetites for business intelligence?

Yes, the corporate-decision-panel supports different risk appetites through its multi-mode synthesis. It features five decision modes, such as Guardian and Pioneer, to reveal how varying risk tolerances shape the final business intelligence outcomes.

What is the best way to analyze strategic options using an AI agent cascade?

The best way to analyze strategic options is using a multi-mode synthesis agent cascade. This approach frames issues, routes them to C-suite executives for domain analysis, and delivers a comprehensive Decision Record with production-ready artifacts.