webgpt-todo-response

Generate a structured Markdown handoff for WebGPT todo reviews.

192|7|Updated Dec 30, 2025
One-click install
npx skills add https://github.com/yusifeng/formax --skill webgpt-todo-response
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: webgpt-todo-response
Source: https://github.com/yusifeng/formax/tree/main/.codex/skills/webgpt-todo-response
Command: npx skills add https://github.com/yusifeng/formax --skill webgpt-todo-response

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the post-analysis handoff between WebGPT reviews and human operators by producing a concise, structured message that clearly states what was adopted, what was deferred or rejected, and what should be re-evaluated in docs/todolist.md.

Core Features & Use Cases

  • Generate an adoption/diff/reject summary for a WebGPT todo review.
  • Identify gaps between WebGPT recommendations and canonical docs or project scope.
  • Produce a ready-to-send handoff that includes adopted items, deferrals, questions, and explicit re-evaluation edits.

Quick Start

Run this skill after WebGPT returns a todo review to generate a concise, structured handoff that you can send back.

Frequently Asked Questions about webgpt-todo-response

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

FAQPage Schema
How do I generate a structured handoff response for a WebGPT todo review?

To generate a structured handoff response for a WebGPT todo review, run this skill to output a copy-ready Markdown message summarizing adopted items, deferrals, questions, and required edits from docs/todolist.md.

What is a WebGPT todo review handoff message?

A WebGPT todo review handoff message is a concise, structured Markdown response that clearly states what was adopted, what was deferred or rejected, and what requires re-evaluation in docs/todolist.md.

How do I summarize adopted and rejected items in a Formax todo review workflow?

You summarize adopted and rejected items in a Formax todo review workflow by generating a structured handoff message that categorizes WebGPT recommendations into adoption, pushback, and required edits.

Can I identify gaps between WebGPT recommendations and canonical docs during a todo review?

Yes, you can identify gaps between WebGPT recommendations and canonical docs or project scope by running this skill to produce a handoff summary that highlights deferrals, questions, and explicit re-evaluation edits.

What's the best way to format WebGPT feedback for human operators?

The best way to format WebGPT feedback for human operators is to use a consistent, copy-ready Markdown format with dedicated sections for adoption, pushback, questions, and required edits to preserve a structured handoff.