council

Orchestrate multi-persona adversarial reviews of engineering artifacts and decisions.

1|Updated Jun 14, 2026
One-click install
npx skills add https://github.com/Zhachory1/agent-fleet --skill council-zhachory1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: council
Source: https://github.com/Zhachory1/agent-fleet/tree/main/skills/council
Command: npx skills add https://github.com/Zhachory1/agent-fleet --skill council-zhachory1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the problem of cognitive bias and oversight in high-stakes engineering decisions by convening a diverse, adversarial council of specialist personas to critique your work before you commit to a path.

Core Features & Use Cases

  • Adversarial Debate: Orchestrates a bounded, multi-round debate between 3-6 independent personas to catch flaws a single reviewer would miss.
  • Synthesis & Dissent: Produces a decision-grade report featuring ranked issues, named dissents, and a false-consensus flag to ensure you are aware of all risks.
  • Use Case: Use this when evaluating a major architectural change, a build-vs-buy decision, or a high-stakes PR to ensure you have considered all failure modes and scope-creep risks.

Quick Start

Invoke the council skill to perform a deep-dive review of the current design document by analyzing it with a team of specialist personas.

Frequently Asked Questions about council

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

FAQPage Schema
How do I run an adversarial review for architectural design decisions?

An adversarial architectural design review convenes a diverse council of specialist personas to critique your work before committing. It orchestrates a bounded, multi-round debate to catch flaws a single reviewer would miss.

What is the best way to evaluate a build-vs-buy decision without cognitive bias?

Evaluating a build-vs-buy decision without cognitive bias requires convening an adversarial council to critique the strategic choice. This process produces a decision-grade report featuring ranked issues, named dissents, and a false-consensus flag.

How does multi-persona debate work for high-stakes engineering reviews?

Multi-persona debate for engineering reviews works by orchestrating a bounded, multi-round discussion between 3-6 independent personas. It applies iterative reflection rounds to mitigate false consensus and surface scope-creep risks.

Can I use persona-based reasoning to critique a high-stakes pull request?

Yes, you can use persona-based reasoning to critique a high-stakes pull request. The process evaluates the PR by applying specialist personas to ensure you have considered all failure modes and scope-creep risks.

Do I need a structured environment with persistent room capture for adversarial code review?

Yes, adversarial code review requires a structured environment with persistent room capture. This environment supports persona-based reasoning and iterative reflection rounds necessary to produce a decision-grade report.

When should I not use a multi-persona council for engineering decision making?

You should not use a multi-persona council for routine engineering decisions that do not warrant a multi-round debate. This approach is reserved for high-stakes artifacts, major architectural changes, and strategic assessments to prevent oversight.