Can I change the default packages installed in my Colab notebook?

Yes, the skill can modify the install cell in the _bootstrap_source.ipynb template to include any specific libraries your project requires.

How do I start the customization process?

Simply tell Claude 'help me customize' or 'set up for my project' to initiate the interactive interview mode which guides you through the setup.

How do I apply the changes made to the bootstrap notebook?

After the skill modifies _bootstrap_source.ipynb, you simply download the modified file and upload it to Google Colab to use your new customized version.

Does this skill work with existing GitHub repositories?

Yes, it can clone repositories directly into your workspace, analyze their structure, and generate appropriate CLAUDE.md files and slash commands automatically.

Claude Code Colab Customizer

Name: Claude Code Colab Customizer
Author: ali

byali

0•

Ciencia de Datos y ML

Configures and personalizes your Claude Code Colab environment through interactive setup and automated notebook modification.

This skill streamlines the setup of Claude Code Colab by tailoring the development environment to your specific project needs. It features an interactive interview mode to determine your primary use case—such as ML training or data analysis—and then automatically generates customized CLAUDE.md files, slash commands, and configuration settings. By directly modifying the bootstrap notebook template, it allows you to pre-install dependencies, set default project types, and analyze existing notebooks to align the AI's behavior with your existing workflows and architectural patterns.

Características Principales

01Interactive interview mode for domain-specific environment setup

02Project cloning and structure analysis for instant workspace configuration

030 GitHub stars

04Automated generation of project-specific CLAUDE.md and slash commands

05Direct editing of Colab bootstrap notebooks and configuration files

06Intelligent parsing of uploaded notebooks to identify dependencies and workflows

Casos de Uso

01Customizing default packages and settings for a collaborative data science team

02Quickly bootstrapping a Claude Code workspace from a GitHub repository or Gist

03Setting up a new machine learning research environment in Google Colab

Características Principales

01Interactive interview mode for domain-specific environment setup

02Project cloning and structure analysis for instant workspace configuration

030 GitHub stars

04Automated generation of project-specific CLAUDE.md and slash commands

05Direct editing of Colab bootstrap notebooks and configuration files

06Intelligent parsing of uploaded notebooks to identify dependencies and workflows

Casos de Uso

01Customizing default packages and settings for a collaborative data science team

02Quickly bootstrapping a Claude Code workspace from a GitHub repository or Gist

03Setting up a new machine learning research environment in Google Colab