Awesome-Agent-Skills-for-Empirical-Research code-exec-skills
7 code execution skills. Trigger: running code, interactive notebooks, Jupyter, Colab, sandboxed execution. Design: execution environment guides with setup instructions and best practices.
install
source · Clone the upstream repo
git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/43-wentorai-research-plugins/skills/tools/code-exec" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-code-exec-skills && rm -rf "$T"
manifest:
skills/43-wentorai-research-plugins/skills/tools/code-exec/SKILL.mdsource content
Code Execution — 7 Skills
Select the skill matching the user's need, then
read| 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 |