doubt-driven-development

Review engineering decisions through structured adversarial review before implementation.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/MinhDuyDEV/mdpi --skill doubt-driven-development-minhduydev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: doubt-driven-development
Source: https://github.com/MinhDuyDEV/mdpi/tree/main/.pi/skills/doubt-driven-development
Command: npx skills add https://github.com/MinhDuyDEV/mdpi --skill doubt-driven-development-minhduydev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents confident but incorrect engineering decisions by introducing structured adversarial review before non-trivial work is finalized.

Core Features & Use Cases

  • Adversarial Decision Review: Forces important claims, artifacts, and assumptions through a fresh-context reviewer focused on finding failures.
  • Structured Doubt Cycle: Guides users through claim definition, artifact extraction, review, reconciliation, and bounded stopping conditions.
  • High-Stakes Engineering Support: Helps with architecture changes, production decisions, security-sensitive logic, and unfamiliar codebases where hidden risks matter.

Quick Start

Ask the doubt-driven-development skill to review a proposed architectural decision and identify potential failure modes before implementation.

Frequently Asked Questions about doubt-driven-development

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

FAQPage Schema
What is adversarial code review for engineering decisions?

Adversarial code review is a structured process that challenges non-trivial engineering decisions by applying fresh-context review to find failures before implementation or release. It isolates claims, extracts artifacts, and reconciles findings to reduce incorrect outcomes.

When should I use adversarial review in my software architecture workflow?

Use adversarial review during software architecture changes, production-sensitive work, security-related logic, and unfamiliar codebase navigation. It verifies hidden assumptions and validates decisions before costly mistakes happen in high-stakes engineering scenarios.

How do I perform risk assessment on proposed architectural changes?

Perform risk assessment by defining claims, extracting artifacts, and reviewing them in a fresh context focused on finding failures. Reconcile findings through bounded review cycles to validate engineering decisions and stop at defined limits.

Can I apply doubt-driven development to security-related logic and production changes?

Yes, you can apply doubt-driven development to security-related logic, production-sensitive work, and unfamiliar code. It supports high-stakes engineering by challenging hidden assumptions and verifying decisions before implementation through structured adversarial review.

How does structured doubt cycle work for decision validation?

The structured doubt cycle works by guiding users through claim definition, artifact extraction, fresh-context review, finding reconciliation, and bounded stopping conditions. This cycle forces important claims and assumptions through adversarial review to reduce incorrect outcomes.

What are the limitations of using adversarial review for engineering workflow?

Adversarial review requires structured claim isolation and bounded review cycles, which may add overhead to simple tasks. It is designed for non-trivial decisions involving architecture, production, or security logic rather than routine code changes.