complexa-setup

Configure the Proteina-Complexa runtime environment with .env files, Python virtual environments, and model checkpoints.

413|62|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit --skill complexa-setup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: complexa-setup
Source: https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/plugins/bionemo-agent-toolkit/skills/complexa-setup
Command: npx skills add https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit --skill complexa-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill automates the complex, multi-step process of setting up the Proteina-Complexa environment, ensuring that dependencies, model weights, and environment variables are correctly configured for immediate use.

Core Features & Use Cases

  • Environment Initialization: Automatically creates and validates the .env file, sets up Python virtual environments, and performs pre-flight hardware checks.
  • Model Weight Management: Orchestrates the download of specific model checkpoints (Protein Binder, Ligand Binder, AME) and community models (AF2, RF3, etc.) to the correct paths.
  • Use Case: A researcher cloning the repository for the first time can use this skill to instantly verify their GPU/disk requirements and download the necessary 100GB+ of model weights without manual script execution.

Quick Start

Run the complexa-setup skill to initialize the environment and download the required model weights for protein binder design.

Frequently Asked Questions about complexa-setup

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

FAQPage Schema
How do I set up the environment for protein design workflows?

To set up the protein design environment, you can run an automated configuration process that creates the .env file, builds the Python virtual environment, and performs pre-flight hardware checks.

What hardware do I need for biomolecular modeling with Proteina-Complexa?

Biomolecular modeling with Proteina-Complexa requires specific GPU capabilities and over 100GB of available disk space to store model weights. The setup process validates hardware and disk availability before execution.

How do I download model checkpoints for binder generation and motif scaffolding?

Downloading model checkpoints for binder generation and motif scaffolding is managed automatically during environment initialization, routing specific weights like Protein Binder, Ligand Binder, and AME to the correct local paths.

Can I use AF2 and RF3 community models with the Proteina-Complexa environment?

Yes, the environment configuration supports downloading and integrating community models like AF2 and RF3 alongside native checkpoints, ensuring all required tool dependencies are validated for reliable scientific pipeline execution.

Why does my deep learning environment configuration fail during setup?

Environment configuration can fail if system hardware requirements are not met, disk availability is insufficient for the 100GB+ model weights, or required tool dependencies are missing from your system.