pub-cycle

What problem does it solve?

This skill eliminates the manual, error-prone coordination required to manage academic paper publication workflows for formal mathematical theory projects, from identifying new extractable content in core theory to driving papers through multi-round reviews and reintegrating accepted results.

Core Features & Use Cases

• Automated Triage: Scans core theory sections to identify new paper extraction candidates and classifies existing papers into prioritized review tiers based on their latest editorial verdict.
• End-to-End Review Orchestration: Coordinates multi-round reviews using Codex, ChatGPT, and Claude to address editorial, stylistic, and mathematical issues until papers reach acceptance.
• Automated Backflow: Injects content from accepted papers back into the core theory codebase and checks for papers that should be split into separate submissions.
• Use Case: A research team working on the Omega project's golden ratio theory can use this skill to automatically scan for new publishable theorems, route each in-progress paper through the required review rounds, and update the core theory with accepted results without manual tracking.

Quick Start

Invoke the pub-cycle skill to scan the core theory for new paper candidates, route all pending papers through their required review tiers, and process accepted papers for backflow into the core theory.