code-exec-skills
Skill298 starsChanged 8 months agoMITView on GitHub
7 code execution skills. Trigger: running code, interactive notebooks, Jupyter, Colab, sandboxed execution. Design: execution environment guides with setup instructions and best practices.
In this repository39 other files it gives its agents.
- dataviz-skillsSkill
- econometrics-skillsSkill
- statistics-skillsSkill
- wrangling-skillsSkill
- ai-ml-skillsSkill
- biomedical-skillsSkill
- business-skillsSkill
- chemistry-skillsSkill
- cs-skillsSkill
- ecology-skillsSkill
- economics-skillsSkill
- education-skillsSkill
- finance-skillsSkill
- geoscience-skillsSkill
- humanities-skillsSkill
- law-skillsSkill
- math-skillsSkill
- pharma-skillsSkill
- physics-skillsSkill
- social-science-skillsSkill
- discovery-skillsSkill
- fulltext-skillsSkill
- metadata-skillsSkill
- search-skillsSkill
- automation-skillsSkill
- deep-research-skillsSkill
- funding-skillsSkill
- methodology-skillsSkill
- paper-review-skillsSkill
- diagram-skillsSkill
- document-skillsSkill
- knowledge-graph-skillsSkill
- ocr-translate-skillsSkill
- scraping-skillsSkill
- citation-skillsSkill
- composition-skillsSkill
- latex-skillsSkill
- polish-skillsSkill
- templates-skillsSkill
The file
Files
Code 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 |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

