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environment-setup

Set up a Python 3.11 conda environment with Miniconda and plotting libraries.

Updated May 15, 2026
Search Tags:#data visualization#troubleshooting#python#environment setup#miniconda#conda init#jupyter kernel
One-click install
npx skills add https://github.com/lth0/codexSkill --skill environment-setup-lth0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: environment-setup
Source: https://github.com/lth0/codexSkill/tree/main/skills/agents/research-writing/environment-setup
Command: npx skills add https://github.com/lth0/codexSkill --skill environment-setup-lth0

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It resolves failed or missing Python plotting environments by guiding you through end-to-end setup of Miniconda, creating a dedicated environment, installing the needed visualization packages, and validating everything before you run your code.

Core Features & Use Cases

  • Cross-platform environment setup (macOS/Linux/Windows): Detects your OS and runs the appropriate installation and initialization steps.
  • Miniconda installation and conda initialization: Installs Miniconda if needed, initializes your shell, and verifies conda is usable.
  • Creates and prepares a plotting-ready research environment: Creates a research conda environment (Python 3.11), installs core plotting/data libraries, and registers an IPython kernel for Jupyter.
  • Environment self-check and troubleshooting: Verifies imports/versions and provides targeted fixes for common issues like conda: command not found and slow downloads.

Quick Start

Tell the AI: "I need to install Miniconda and set up a Python plotting environment with conda for my research notebooks."

Frequently Asked Questions about environment-setup

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

FAQPage Schema
How do I set up a Python plotting environment with Miniconda?▼

To set up a Python plotting environment with Miniconda, install Miniconda, initialize your shell, create a `research` conda environment with Python 3.11, and install common visualization packages.

Why does `conda: command not found` occur after installing Miniconda?▼

The `conda: command not found` error occurs because your shell is not initialized. You must run `conda init` for your specific shell and verify the installation before creating environments.

Does this Python environment setup support Windows, macOS, and Linux?▼

Yes, this Python environment setup supports Windows, macOS, and Linux by detecting your OS and running the appropriate Miniconda installation and shell initialization steps.

How do I register a Jupyter kernel in a conda environment?▼

To register a Jupyter kernel in a conda environment, create the `research` environment with Python 3.11, install core plotting libraries, and execute the kernel registration process for IPython.

What should I do when my Python plotting tasks fail due to missing libraries?▼

When Python plotting tasks fail due to missing libraries, you need a dedicated conda environment. This setup installs required visualization packages and validates imports to resolve failures.

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