cortex-bridge

Analyze cortical responses from media stimuli using Cortex's TRIBE v2 pipeline.

2|Updated Apr 25, 2026

Search Tags:#reporting #visualization #neuroscience #brain #tribe #cortex #brain-scan

Ready to run

npx skills add https://github.com/AlexiosBluffMara/mercury --skill cortex-bridge

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cortex-bridge
Source: https://github.com/AlexiosBluffMara/mercury/tree/main/skills/cortex/cortex-bridge
Command: npx skills add https://github.com/AlexiosBluffMara/mercury --skill cortex-bridge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze brain responses to media stimuli using Cortex's TRIBE v2 pipeline, enabling structured analysis of cortical activations without manual setup.

Core Features & Use Cases

describe_input: Pre-classifies media type and content to route processing.
brain_scan: Executes TRIBE v2 inference and yields structured results (top_rois, peak_frame, narration options).
narrate: Generates tiered narration of scan results.
visualize: Produces heatmaps, charts, and 3D visualization links from results.

Quick Start

Upload a video or audio file and run brain_scan to generate a cortex report with narration.

Frequently Asked Questions about cortex-bridge

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

FAQPage Schema

How do I analyze brain responses to video or audio stimuli?▼

Running a brain scan for neuroscience research executes TRIBE v2 inference on your uploaded media to yield structured results, including top regions of interest, peak frames, and narration options. This provides structured cortical activation data without requiring manual pipeline setup.

What do I need to generate cortical activation visualizations from a brain scan?▼

Generating cortical activation visualizations requires the Cortex toolset installed in your Python environment, specifically the Mercury venv, with the registered tools describe_input, brain_scan, narrate, and visualize. The visualize tool then produces heatmaps, charts, and 3D visualization links from the scan results.

Can I use text stimuli for cortical response analysis or does it only support video and audio?▼

Text stimuli are fully supported for cortical response analysis alongside video and audio inputs. The describe_input function pre-classifies the media type and content of your text to correctly route processing through the TRIBE v2 pipeline for brain-scan generation and visualization.

How does the narration feature work for brain scan results?▼

The narration feature generates tiered summaries of brain scan results by processing the structured output from the TRIBE v2 inference, such as top regions of interest and peak frames. It produces narrated summaries across different tiers tailored for research, education, and clinical discussions.

Are there limitations when running cortical activation analysis without Cortex installed?▼

Without Cortex installed in your Python environment and the Mercury venv configured, cortical activation analysis cannot run. The Skill depends on a registered toolset named Cortex with specific functions like brain_scan and visualize to execute the TRIBE v2 pipeline and generate outputs.