hcp-skill

Orchestrate HCP multimodal processing from data download to modality-specific pipelines.

78|3|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill hcp-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hcp-skill
Source: https://github.com/CUHK-AIM-Group/NeuroClaw/tree/main/skills/hcp-skill
Command: npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill hcp-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The HCP multimodal orchestration skill coordinates end-to-end processing for the Human Connectome Project Young Adult (HCP1200) dataset, handling data discovery, organization, and delegation to modality-specific pipelines without scripting the entire workflow.

Core Features & Use Cases

  • Orchestrates a fixed three-phase pipeline: data download, data organization/validation, and delegation to sMRI, fMRI, and DTI skills.
  • Generates a detailed plan with outputs, runtime, storage, and risks, and requires explicit user confirmation before execution.
  • Outputs are organized under hcp_output/ with separate subdirectories for raw/downloads, staging, and modality-specific derivatives.

Quick Start

Trigger a full HCP1200 multimodal workflow or a modality-specific subset and confirm to start the pipeline.

Frequently Asked Questions about hcp-skill

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

FAQPage Schema
How do I orchestrate end-to-end multimodal neuroimaging processing for HCP datasets?

HCP multimodal orchestration coordinates end-to-end processing for HCP1200 datasets by handling data discovery, organization, and delegation to modality-specific pipelines across a fixed three-phase workflow.

What is the best way to structure reproducible rfMRI, tfMRI, sMRI, and DTI pipelines?

Reproducible HCP pipelines are structured by generating a detailed execution plan covering outputs, runtime, storage, and risks, which requires explicit user confirmation before processing begins.

How are outputs organized when running HCP multimodal workflows?

HCP multimodal workflow outputs are organized under a dedicated hcp_output directory, featuring separate subdirectories for raw downloads, staging areas, and modality-specific derivatives.

Can I run processing for a specific modality subset instead of the full HCP1200 dataset?

Yes, you can trigger a modality-specific subset of the HCP1200 dataset workflow instead of the full multimodal pipeline, delegating only to required sMRI, fMRI, or DTI skills.

Does HCP workflow orchestration require manual scripting for the entire pipeline?

No, HCP workflow orchestration eliminates the need for manual scripting by managing data discovery, dependency checks, and delegation via automated planning and execution constraints.

What limitations or safety constraints apply when processing HCP multimodal data?

Processing HCP multimodal data maintains safety constraints through mandatory explicit user confirmation before execution, applying structured planning and dependency checks via shell delegation.