architect

Audit prompt engineering systems for governance and compliance.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/JacksonZx535/kingsight --skill architect-jacksonzx535
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: architect
Source: https://github.com/JacksonZx535/kingsight/tree/main/architect
Command: npx skills add https://github.com/JacksonZx535/kingsight --skill architect-jacksonzx535

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of understanding and guiding AI agents in prompt engineering systems, ensuring that the system's output aligns with strategic objectives.

Core Features & Use Cases

  • Four-Phase Dialectical Protocol: AUDIT, ENVISION, ADVERSARIAL, and META phases for comprehensive review and proposal generation.
  • Cross-Model Adversarial Review: Ensures proposals are robust against potential flaws through adversarial analysis.
  • Governance and Compliance: Integrates with governance documents and architecture decisions to ensure compliance.

Quick Start

Run the architect skill with the 'audit' command to perform a governance audit on the current system.

Frequently Asked Questions about architect

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

FAQPage Schema
What is cross-model adversarial review in prompt engineering?

Cross-model adversarial review evaluates prompt engineering proposals by challenging them across different AI models to identify potential flaws. This ensures system robustness, compliance, and alignment with strategic objectives through structured governance.

How do I audit AI governance compliance for a prompt engineering system?

Run an audit command to perform a governance audit on your current prompt engineering system. This reviews architecture decisions and governance documents to verify compliance and strategic alignment within a structured dialectical protocol.

What's the best way to generate strategic proposals for AI agent systems?

Use a four-phase dialectical protocol encompassing audit, envision, adversarial, and meta phases to generate strategic proposals. This structured approach ensures robustness and compliance by integrating governance documents and architecture decisions.

When do I need a dialectical protocol for prompt engineering?

You need a dialectical protocol when your prompt engineering system requires strategic review and proposal generation. It is essential for ensuring governance, compliance, and robustness through cross-model adversarial analysis and architecture decision integration.

Does strategic review for AI governance require existing architecture decisions?

Yes, strategic review integrates existing architecture decisions and governance documents. This ensures that prompt engineering system proposals and audits comply with established governance standards and align with overarching strategic objectives.