decision-critic

Critique decisions through decomposed claims, evidence verification, and adversarial review.

Updated Jan 19, 2026
One-click install
npx skills add https://github.com/loriensleafs/brain --skill decision-critic-loriensleafs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: decision-critic
Source: https://github.com/loriensleafs/brain/tree/main/apps/claude-plugin/skills/decision-critic
Command: npx skills add https://github.com/loriensleafs/brain --skill decision-critic-loriensleafs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Decision Critic provides a structured, multi-step critique of a decision to uncover hidden assumptions, verify claims, and consider adversarial perspectives before committing to a course of action.

Core Features & Use Cases

  • Decomposition and IDing: Breaks down decisions into claims, assumptions, constraints, and judgments with persistent IDs (C1, A1, K1, J1).
  • Fact-based verification: Generates and answers verification questions to test veracity of each claim.
  • Adversarial Challenge and Framing: Provides contrarian perspectives and alternative problem framing to surface risks and blind spots.
  • Verdict synthesis: Produces a final verdict (STAND, REVISE, or ESCALATE) with actionable recommendations.
  • Use Case: A product team deciding on a feature launch can run this workflow to ensure robust justification and risk awareness.

Quick Start

Use the decision-critic tool to critique a proposed approach, supply the decision text, constraints, and context, and follow the seven-step workflow to obtain a final verdict.

Frequently Asked Questions about decision-critic

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

FAQPage Schema
How do I stress-test a product decision to surface hidden biases?

To stress-test a product decision, you can use a structured critical analysis workflow that decomposes claims, generates verification questions, and applies adversarial critique to surface hidden biases before committing.

What is adversarial thinking in problem framing and risk assessment?

Adversarial thinking in problem framing involves challenging assumptions and applying contrarian perspectives to surface blind spots. It generates alternative problem framings to ensure robust risk assessment before a final verdict.

How do I verify the assumptions and claims in a strategic decision?

You can verify strategic claims by decomposing the decision into identifiable claims, assumptions, and constraints, then generating targeted verification questions to test the factual veracity of each element.

Can I use structured analysis for both operations and product strategy decisions?

Yes, structured critical analysis applies across product, operations, and strategy decisions. It works from initial problem framing through the final verdict, ensuring robust justification and risk awareness regardless of the domain.

What is the best way to generate a final verdict on a proposed business approach?

The best way to generate a final verdict is to use a multi-step workflow that synthesizes adversarial critique and fact-based verification into an actionable recommendation to STAND, REVISE, or ESCALATE the decision.

When should I not use a decision critique workflow?

You should avoid decision critique workflows for time-critical emergencies requiring immediate action, as the structured seven-step analysis demands decomposition, evidence verification, and adversarial framing to produce its synthesis verdict.