deep-design

Stress-test system, product, protocol, game, API, and workflow designs before implementation.

4|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/npow/claude-skills --skill deep-design-npow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-design
Source: https://github.com/npow/claude-skills/tree/main/deep-design
Command: npx skills add https://github.com/npow/claude-skills --skill deep-design-npow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents costly design mistakes by turning an initial idea into an adversarially stress-tested specification before implementation begins.

Core Features & Use Cases

  • Adversarial Design Critique: Evaluates systems, products, protocols, games, APIs, and workflows across correctness, usability, cost, operations, security, and other relevant dimensions.
  • Parallel Multi-Agent Review: Coordinates independent critics, severity judges, redesign agents, coherence checks, and invariant validation to identify and resolve flaws.
  • Structured Specification: Produces versioned, traceable design documents with coverage reports, design decisions, accepted tradeoffs, open risks, and implementation notes.
  • Use Case: Give it a proposed API, product workflow, or game mechanic to expose edge cases, dominant failure modes, operational risks, and security concerns before engineers build it.

Quick Start

Ask the deep-design skill to design and adversarially stress-test a REST API for a bookstore in TypeScript.

Frequently Asked Questions about deep-design

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

FAQPage Schema
How do I stress-test a technical design specification before implementation?

An RFC can be adversarially reviewed by coordinating independent critics and severity judges to identify operational risks and security concerns. This process uses parallel multi-agent review to evaluate architecture proposals and resolve flaws through structured redesign agents.

Can I use adversarial critique to evaluate game mechanics and API workflows?

Design specification generation produces versioned, traceable design documents with coverage reports, accepted tradeoffs, open risks, and implementation notes. It creates lightweight SDD-compatible specifications by validating invariants and performing coherence checks across the architecture.

What is the best way to find edge cases in a proposed REST API architecture?

Multi-agent design review works by coordinating file-based parallel critics, independent severity judges, and redesign agents to evaluate specifications. It applies coverage gates, invariant validation, and durable execution to ensure architecture correctness across multiple review dimensions.

Does multi-agent design review work for requirements engineering and protocol design?

Before implementation, you should generate a versioned, traceable design document with coverage reports and implementation notes. This ensures accepted tradeoffs and open risks are documented, preventing costly design mistakes and resolving edge cases through adversarial stress-testing.