skill-debate-integration

Automate multi-model AI debates with session-aware storage and quality gates.

4.0k|369|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/nyldn/claude-octopus --skill skill-debate-integration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-debate-integration
Source: https://github.com/nyldn/claude-octopus/tree/main/skills/skill-debate-integration
Command: npx skills add https://github.com/nyldn/claude-octopus --skill skill-debate-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Integrates AI debate workflows into Claude-Octopus with session-aware storage, quality gates, analytics, and export capabilities to ensure auditable, cost-conscious multi-model discussions.

Core Features & Use Cases

  • Session-aware storage for debates, organized by Claude Code session and topic slug.
  • Quality gates for each advisor response to ensure substantive, sourced, and engaged outcomes.
  • Cost tracking and analytics to monitor token usage and debate expenses across rounds.
  • Document export integration to generate PPTX, DOCX, PDF, or Markdown deliverables from synthesis and transcripts.
  • Enhanced viewer support with session filters, quality badges, and quick export options.

Quick Start

Enable the debate integration and start a 3-round adversarial debate with the /debate command to observe session-aware storage and analytics.

Frequently Asked Questions about skill-debate-integration

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

FAQPage Schema
How do I run multi-model AI debates for design reviews?

Multi-model AI debates for design reviews are automated by integrating session-aware storage, quality gates, and export workflows into Claude-Octopus. Structured adversarial debates among Gemini, Codex, and Claude are initiated via the /debate command.

What are quality gates in multi-model AI debate workflows?

Quality gates in multi-model AI debate workflows enforce per-round scoring on each advisor response to ensure outcomes are substantive, sourced, and engaged. This guarantees auditable and cost-conscious discussions across all debate rounds.

How do I track token cost analytics across AI debate rounds?

Token cost analytics across AI debate rounds are tracked automatically by the integration's built-in cost monitoring. It logs token usage and debate expenses per round, providing visibility into multi-model discussion costs within production workflows.

Can I export AI debate transcripts to PDF and DOCX formats?

AI debate transcripts and synthesis results can be exported to PPTX, DOCX, PDF, or Markdown formats. The document export integration generates these deliverables directly from the session-aware storage after the debate concludes.

How does session-aware storage organize AI debate transcripts?

Session-aware storage organizes AI debate transcripts by Claude Code session and topic slug, creating structured directories. This ensures multi-model discussions remain auditable and easily retrievable within production workflows.

Do I need Claude-Octopus to use session-aware AI debate integration?

Claude-Octopus is required as the base environment because the debate integration directly extends its workflows. It applies session-based directories, quality gates, and export interfaces specifically within the Claude-Octopus ecosystem.