What problem does it solve?
This Skill coordinates a structured proof-production pipeline for AI-agent work, reducing wasted budget and preventing poorly packaged or unaudited proof attempts.
Core Features & Use Cases
- Run Standardization: Creates a clean proof run directory with the right task and materials files.
- Preflight Checking: Performs a short local difficulty probe to decide whether a task is local, needs rewrite, or should be sent to GPT-pro.
- Handoff and Audit Flow: Packages reviewed prompts, manages GPT-pro output, performs Codex or DeepSeek audits, and supports bounded local repairs.
- Use Case: A researcher wants to prove a lemma with GPT-pro, but first needs the request standardized, preflighted, reviewed, handed off, audited, and finalized without losing proof provenance.
Quick Start
Use the proof-orchestrator skill to standardize my proof idea, run a preflight probe, and prepare a reviewed GPT-pro handoff.