Phase 1: Doc Planning (순수 토론 로직)

Automate project documentation planning through iterative multi-agent AI discussion loops.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/vp-k/auto-complete-loop --skill phase-1-doc-planning
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Phase 1: Doc Planning (순수 토론 로직)
Source: https://github.com/vp-k/auto-complete-loop/tree/main/skills/doc-planning
Command: npx skills add https://github.com/vp-k/auto-complete-loop --skill phase-1-doc-planning

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of planning and refining documentation by facilitating a structured, AI-driven discussion loop to ensure clarity, completeness, and adherence to project standards.

Core Features & Use Cases

  • Automated Document Generation: Creates and updates planning documents based on project requirements.
  • AI-Assisted Review: Utilizes AI agents (codex-cli, Claude Code) to critically review and refine documents.
  • Use Case: When starting a new software project, this Skill can take initial project overviews and automatically generate detailed, production-ready specifications for each required document through an iterative AI debate.

Quick Start

Use the doc-planning skill to begin refining the 'user-profile.md' document.

Frequently Asked Questions about Phase 1: Doc Planning (순수 토론 로직)

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

FAQPage Schema
How does AI-assisted document planning work for software projects?

Automating document refinement involves a multi-agent AI discussion loop that manages document status and facilitates iterative feedback. This ensures generated planning documents meet project principles and quality checklists.

How do I generate production-ready specifications from initial project overviews?

Yes, you can use codex-cli and Claude Code agents to critically review and refine documents. These AI agents participate in an iterative feedback loop to evaluate documentation against project principles and quality checklists.

When do I need an iterative AI discussion loop for project management documentation?

Yes, the automated document planning integrates with an orchestrator for phase transitions and progress tracking. This integration ensures the multi-agent discussion loop aligns with broader project management workflows and milestone tracking.

What are the limitations of using a multi-agent AI debate for code generation planning?

A limitation of using a multi-agent AI debate is its dependency on the initial project overview quality and the orchestrator's phase transitions. The iterative refinement process may require manual oversight to ensure adherence to specific project principles.