council

Orchestrate parallel critic subagent reviews and aggregate go/no-go decisions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/dxxx/Bot-OS --skill council-dxxx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: council
Source: https://github.com/dxxx/Bot-OS/tree/main/.claude/skills/council
Command: npx skills add https://github.com/dxxx/Bot-OS --skill council-dxxx

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill convenes a panel of role-critic subagents to provide parallel, multi-lens feedback on a plan, diff, or idea, ensuring a well-rounded assessment before committing to action.

Core Features & Use Cases

  • Parallel Feedback: Review a target from multiple independent angles simultaneously.
  • Decision Synthesis: Generate a go/no-go decision based on aggregated feedback.
  • Use Case: Before executing a high-risk plan or committing significant changes to a project, use this Skill to gather diverse perspectives and make informed decisions.

Quick Start

Convene a critic panel to review a plan or idea by invoking '/council [target or question]'.

Frequently Asked Questions about council

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

FAQPage Schema
How do I get comprehensive feedback on a project plan before execution?

You can get comprehensive feedback on a project plan by convening a critic panel to provide parallel, multi-lens reviews and a synthesized go/no-go decision.

What is the best way to perform a risk assessment on a high-risk project idea?

Risk assessment on a high-risk project idea is best performed by convening a panel of role-critic subagents to provide parallel, multi-lens feedback before committing to action.

How do I aggregate feedback from multiple independent review angles simultaneously?

You aggregate feedback from multiple independent review angles simultaneously by orchestrating parallel reviews from various subagents and synthesizing their findings into a go/no-go decision.

Does this panel review approach work for evaluating code diffs and plan changes?

Yes, panel review works for evaluating code diffs and plan changes by convening role-critic subagents to provide parallel, multi-lens feedback on the target before committing significant changes.

Do I need role-critic subagents to use this decision making Skill?

Yes, you need role-critic subagents and a system for parallel execution to use this decision making Skill, as it orchestrates these components to provide comprehensive feedback.