About code-exec-skills
A collection of seven skills for code execution and reproducible research. It covers notebook platforms, research APIs, command-line project management, and sandboxed execution.
Key features
- 01Google Colab notebook guidance
- 02Jupyter reproducibility practices
- 03Kaggle API workflows
- 04Overleaf CLI project management
- 05Python and R reproducibility
- 06Sandboxed code execution guidance
Use cases
- 01Run Python or ML research notebooks
- 02Manage Kaggle datasets and competitions
- 03Sync Overleaf projects from the command line
- 04Build reproducible Python or R research workflows
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ wentorai/ research-plugins --skill code-exec-skillsAfter installing, type/code-exec-skillsin Claude Code to confirm it loaded.
Details
From the project READMECode Execution — 7 Skills
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| google-colab-guide | Run and manage Google Colab notebooks for Python and ML research |
| jupyter-notebook-guide | Best practices for computational research notebooks with reproducible workflows |
| kaggle-api-guide | Download datasets, manage competitions and notebooks via Kaggle API |
| overleaf-cli-guide | Sync and manage Overleaf LaTeX projects from the command line |
| python-reproducibility-guide | Reproducible Python environments, notebooks, and literate programming |
| r-reproducibility-guide | Create reproducible research workflows with R and RMarkdown/Quarto |
| sandbox-execution-guide | Secure sandboxed code execution environments for reproducible research computing |
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