santa-method

Run dual independent review agents with a convergence loop for output verification.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/zero3041/PREP --skill santa-method-zero3041
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: santa-method
Source: https://github.com/zero3041/PREP/tree/main/.claude/skills/skills/santa-method
Command: npx skills add https://github.com/zero3041/PREP --skill santa-method-zero3041

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures the accuracy of outputs by employing a dual independent review process, reducing the risk of errors and enhancing quality control.

Core Features & Use Cases

  • Dual Independent Review: Two independent reviewers must pass before the output is considered 'nice'.
  • Convergence Loop: Continuously refine the output until it meets both reviewers' standards.
  • Use Case: Ideal for technical documents, educational material, and customer-facing copy where accuracy is paramount.

Quick Start

Activate the santa-method skill to review your output and ensure it meets the necessary standards.

Frequently Asked Questions about santa-method

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

FAQPage Schema
How does multi-agent adversarial verification work for document review?

Multi-agent adversarial verification uses two independent review agents that must both pass an output before it ships. A convergence loop continuously refines the document until it meets both agents' standards.

How do I verify technical document accuracy before publishing?

Verify technical document accuracy by activating this dual independent review process. The convergence loop refines the content until two independent reviewers both pass the output for quality and correctness.

Can I use dual independent review for customer-facing copy and educational material?

Yes, dual independent review is ideal for customer-facing copy and educational material where accuracy is paramount. The two-agent convergence loop continuously refines outputs until both reviewers pass the content.

What is the best way to automate quality control for generated outputs?

The best way to automate quality control is using a multi-agent adversarial verification loop. Two independent review agents evaluate the output, and a convergence loop continuously refines it until both agents pass the content.

Why does the convergence loop keep refining my output?

The convergence loop keeps refining your output because the dual independent review agents have not both passed the document yet. It continuously adjusts the content until both reviewers agree the accuracy standards are met.