feedback-council

Collect parallel feedback from 5 AI sub-agents and distill actionable items.

6|Updated Mar 15, 2026

Search Tags:#feedback #collaboration #decision-making #parallel-processing #action-items #ai-perspectives

Ready to run

npx skills add https://github.com/DanialDaeHyunNam/claude-starter --skill feedback-council

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: feedback-council
Source: https://github.com/DanialDaeHyunNam/claude-starter/tree/main/.claude/skills/feedback-council
Command: npx skills add https://github.com/DanialDaeHyunNam/claude-starter --skill feedback-council

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

현재 세션에서 발생하는 고민을 신속하게 포착하고, 5명의 AI 서브-에이전트로부터 다양한 관점을 병렬로 수집하여 실행 가능한 액션아이템을 도출합니다. 이 스킬은 의사결정 속도를 높이고 관점의 다양성을 보장하는 데 초점을 맞춥니다.

Core Features & Use Cases

맥락 포착: 현재 대화에서 핵심 고민 주제를 식별하고 정제합니다.
다중 페르소나 피드백: 5개의 서로 다른 관점의 피드백을 병렬로 수집하여 편향을 줄이고 균형 있는 의사결정을 돕습니다.
액션아이템 도출: 피드백을 종합하여 구체적이고 실행 가능한 액션아이템으로 정리합니다.
Use Case: 팀 회의에서 빠르게 다양한 관점을 확보해 의사결정의 근거를 강화합니다.

Quick Start

Initiate the feedback council on your current topic and ask for 5 AI perspectives to generate actionable items.

Frequently Asked Questions about feedback-council

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

FAQPage Schema

How do I get multi-perspective feedback for rapid decision-making during product development?▼

Multi-perspective feedback for rapid decision-making is generated by deploying 5 AI sub-agents in parallel to analyze the current topic and distilling their outputs into concrete action items. This ensures balanced product development decisions.

What is the best way to collect diverse AI perspectives for design reviews?▼

Collecting diverse AI perspectives for design reviews involves orchestrating 5 parallel AI sub-agents to capture different viewpoints simultaneously. This method reduces bias and synthesizes outputs into actionable recommendations for your current session.

Can I use parallel AI agents to generate action items from a strategy session?▼

Yes, you can use parallel AI agents to generate action items from a strategy session. The framework captures the core dilemma from your conversation and coordinates 5 sub-agents to synthesize feedback into immediate, actionable recommendations.

Does generating multi-perspective feedback require a specific prompt orchestration framework?▼

Generating multi-perspective feedback requires a flexible prompt orchestration framework to coordinate parallel agents. This framework manages the 5 AI sub-agents and synthesizes their varied outputs into a unified set of action items.

How do I extract actionable recommendations from real-time team collaboration discussions?▼

Extracting actionable recommendations from real-time team collaboration discussions requires identifying the core topic and querying 5 AI sub-agents for feedback. The parallel outputs are then distilled into specific action items to strengthen decision rationale.

When should I use parallel AI sub-agents instead of a single AI for feedback collection?▼

Use parallel AI sub-agents instead of a single AI for feedback collection when you need to ensure perspective diversity and reduce bias in decision-making. This parallel processing approach is designed for real-time strategy sessions requiring rapid, balanced action items.