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.
Best use case
code-exec-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
7 code execution skills. Trigger: running code, interactive notebooks, Jupyter, Colab, sandboxed execution. Design: execution environment guides with setup instructions and best practices.
Teams using code-exec-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/code-exec/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How code-exec-skills Compares
| Feature / Agent | code-exec-skills | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
7 code execution skills. Trigger: running code, interactive notebooks, Jupyter, Colab, sandboxed execution. Design: execution environment guides with setup instructions and best practices.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Code Execution — 7 Skills Select the skill matching the user's need, then `read` its SKILL.md. | Skill | Description | |-------|-------------| | [google-colab-guide](./google-colab-guide/SKILL.md) | Run and manage Google Colab notebooks for Python and ML research | | [jupyter-notebook-guide](./jupyter-notebook-guide/SKILL.md) | Best practices for computational research notebooks with reproducible workflows | | [kaggle-api-guide](./kaggle-api-guide/SKILL.md) | Download datasets, manage competitions and notebooks via Kaggle API | | [overleaf-cli-guide](./overleaf-cli-guide/SKILL.md) | Sync and manage Overleaf LaTeX projects from the command line | | [python-reproducibility-guide](./python-reproducibility-guide/SKILL.md) | Reproducible Python environments, notebooks, and literate programming | | [r-reproducibility-guide](./r-reproducibility-guide/SKILL.md) | Create reproducible research workflows with R and RMarkdown/Quarto | | [sandbox-execution-guide](./sandbox-execution-guide/SKILL.md) | Secure sandboxed code execution environments for reproducible research computing |
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