decision-critic

Stress-test architectural decisions with structured adversarial analysis via a Python orchestration script.

1|Updated Jan 12, 2026
One-click install
npx skills add https://github.com/akiselev/qt-llm-template --skill decision-critic-akiselev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: decision-critic
Source: https://github.com/akiselev/qt-llm-template/tree/main/.claude/skills/decision-critic
Command: npx skills add https://github.com/akiselev/qt-llm-template --skill decision-critic-akiselev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Structured adversarial critique to stress-test decisions and reveal hidden assumptions, preventing overconfidence in critical design choices.

Core Features & Use Cases

  • Decompose decisions into claims, assumptions, and constraints for traceable critique
  • Verify claims with independent checks and multiple reasoning paths
  • Synthesize verdicts with actionable recommendations and risk signals

Quick Start

Provide your decision statement and run the script to start the critique workflow.

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 architectural decisions for hidden assumptions?▼

Stress-test architectural decisions by providing your design choice to an adversarial critique workflow, which decomposes claims, verifies assumptions, and synthesizes a traceable verdict with risk signals.

What is adversarial analysis for software architecture trade-offs?▼

Adversarial analysis is a structured critique process that targets high-stakes design choices and technology selections, enforcing decomposition of claims and independent verification to reveal hidden assumptions.

How do I critique a technology selection before committing to it?▼

Critique a technology selection by submitting the decision statement to a Python orchestration script that runs structured adversarial analysis, verifying assumptions via multiple reasoning paths.

Can I use this for high-stakes design choices without external dependencies?▼

Yes, high-stakes design choices can be analyzed without external dependencies, as the workflow relies solely on a Python orchestration script to synthesize actionable recommendations.

What is the best way to verify architectural assumptions and constraints?▼

The best way to verify architectural assumptions is through structured adversarial analysis, which enforces independent checks and multiple reasoning paths to expose overconfidence in critical design choices.

When should I not use structured adversarial critique for decisions?▼

Structured adversarial critique should not be used for low-stakes or trivial decisions, as the rigorous scrutiny and claim decomposition process is specifically designed for high-stakes architectural trade-offs.