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arc-agi-benchmarker-setup

Install Python, create a virtual environment, and verify the ARC-AGI package setup.

3|1|Updated Apr 11, 2026
Search Tags:#python#benchmarking#setup#virtual environment#arc-agi
One-click install
npx skills add https://github.com/tmuskal/arc-agi-benchmarker --skill arc-agi-benchmarker-setup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: arc-agi-benchmarker-setup
Source: https://github.com/tmuskal/arc-agi-benchmarker/tree/main/plugins/arc-agi-benchmarker/skills/setup
Command: npx skills add https://github.com/tmuskal/arc-agi-benchmarker --skill arc-agi-benchmarker-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires arc-agi, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the setup of the ARC-AGI benchmarking environment, ensuring all dependencies are installed and the environment is ready for benchmarking tasks.

Core Features & Use Cases

  • Dependency Installation: Installs Python, virtual environment, and arc-agi package.
  • Environment Configuration: Configures API access and verifies the setup.
  • Validation: Performs end-to-end validation to ensure the environment is operational.

Quick Start

Run the command /arc-agi-benchmarker:setup to install dependencies and configure the ARC-AGI benchmarking environment.

Frequently Asked Questions about arc-agi-benchmarker-setup

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

FAQPage Schema
How do I set up an ARC-AGI benchmarking environment in Python?▼

Setting up an ARC-AGI benchmarking environment involves installing Python, creating a virtual environment, installing the arc-agi package, and verifying the configuration. This Skill automates that entire workflow.

Do I need a specific Python version to install the arc-agi package?▼

Yes, installing the arc-agi package for ARC-AGI benchmarking requires Python version 3.12 or higher. You must have this version installed before configuring the environment.

How do I configure the ARC_API_KEY for ARC-AGI benchmarking?▼

Configuring the ARC_API_KEY is an optional step during environment setup. You provide this environment variable to enable API access and allow the validation process to verify your benchmarking configuration.

What is the best way to validate my Claude Code setup against ARC-AGI tasks?▼

The best way to validate a Claude Code setup against ARC-AGI tasks is to run an automated setup script that installs dependencies, creates a virtual environment, and performs end-to-end validation to ensure the environment is operational.

Why does ARC-AGI benchmarking require a virtual environment?▼

A virtual environment is required for ARC-AGI benchmarking to isolate the arc-agi package and its dependencies, preventing conflicts with your system Python installation and ensuring a clean, verifiable setup.

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