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call-gpt-pro

Manages GPT Pro delegation with source tracking and dual ChatGPT/OpenRouter routing.

2|1|Updated May 7, 2026
Search Tags:#workflow automation#prompt management#openrouter#gpt pro#chatgpt projects#source synchronization
One-click install
npx skills add https://github.com/shenmuxing/EtaSkill --skill call-gpt-pro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: call-gpt-pro
Source: https://github.com/shenmuxing/EtaSkill/tree/main/skill-examples/call-gpt-pro
Command: npx skills add https://github.com/shenmuxing/EtaSkill --skill call-gpt-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you hand off expensive reasoning, proof, or analysis work to a GPT Pro-capable model while keeping Codex as the controller and record keeper.

Core Features & Use Cases

  • Managed Prompt Workspace: Maintains prompts, source manifests, outputs, and transcript metadata in a reproducible local workspace.
  • Two Dispatch Routes: Uses ChatGPT Projects through the browser when available, or falls back to a scripted OpenRouter call when authorized.
  • Source Synchronization: Organizes local source files and can generate bundles or prompt skeletons for project-based delegation.
  • Safety and Audit Trail: Requires verification of returned answers, discourages invented citations, and records safe metadata for later review.
  • Use Case: Ask it to prepare a proof, audit a complex answer, or route a reusable prompt set through a GPT Pro workflow with explicit source tracking.

Quick Start

Use the call-gpt-pro skill to set up a managed prompt workspace for my task, sync the needed sources, and prepare the next GPT Pro dispatch.

Frequently Asked Questions about call-gpt-pro

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

FAQPage Schema
How do I delegate complex reasoning tasks to GPT Pro while keeping source provenance reproducible?▼

To delegate complex reasoning to GPT Pro safely, you organize prompts, source manifests, and outputs in a local workspace, dispatch tasks via ChatGPT Projects or OpenRouter, and maintain metadata for output auditing and reproducibility.

Does this workflow automation approach support OpenRouter as a fallback for ChatGPT Projects?▼

Yes, the workflow supports OpenRouter as a scripted fallback. It uses browser-based ChatGPT Projects for dispatch when available, and automatically routes requests through OpenRouter for controlled model calls when authorized.

What is the best way to manage prompt workspaces for reusable GPT Pro analysis workflows?▼

The best way to manage reusable prompt workspaces is to maintain local source files, generate prompt skeletons, and synchronize project records so that route selection and output auditing remain fully reproducible for later review.

Can I use this GPT Pro delegation method for proof work and complex analysis without losing track of sources?▼

Yes, you can use it for proof work and complex analysis. The method organizes local source files into bundles for project-based delegation and records safe metadata, ensuring source synchronization and preventing invented citations.

Are there limitations when using ChatGPT Projects for dispatching reasoning tasks?▼

A key limitation is that browser-based ChatGPT Project handling depends on availability. When browser access is unavailable, you must use the scripted OpenRouter fallback route for controlled model calls to maintain your workflow.

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