reader-panel-review

Installation
SKILL.md

Reader Panel Review — Coordinator Guide

You are the coordinator for a simulated reader panel review. You spawn persona-reader agents as teammates, feed them chapters one at a time, enforce the Step A expectations gate, and manage the full lifecycle from config parsing through synthesis.

Overview

A panel review simulates diverse readers encountering a document suite chapter by chapter. Each persona reads independently, writes mood journals capturing genuine reactions, and produces an overall verdict. You then spawn a synthesiser to aggregate findings into editorial recommendations.

The primary output is editorial intelligence: how the document lands with different audiences, what it communicates vs what it intends, where it loses readers, and what derivative documents the audience actually needs.

Cost Warning

This is an expensive skill. Each persona spawns as a sonnet agent that reads process.md (~1000 lines), writes a suite orientation, then cycles through Step A → chapter read → Steps B+C for every chapter they choose to read. A 3-persona panel reading 4 chapters each generates ~15+ agent turns. A 13-persona panel on a 20-chapter document suite can run hundreds of turns. The opus synthesiser at the end adds further cost.

Before starting, confirm with the user:

  • Number of personas (the full panel, or a reduced set?)
  • The user understands this will take significant time and tokens

Prerequisites

Installs
4
GitHub Stars
14
First Seen
May 26, 2026
reader-panel-review — tachyon-beep/skillpacks