experiment-conventions

Name: experiment-conventions
Availability: InStock
Author: joernstoehler

Define conventions for experiments/ directory layout, pipelines, and living documents.

Updated Feb 6, 2026

Search Tags:#git #pipeline #conventions #reproducibility #experiments #logbook #math.tex

Ready to run

npx skills add https://github.com/JoernStoehler/msc-math --skill experiment-conventions

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: experiment-conventions
Source: https://github.com/JoernStoehler/msc-math/tree/main/.claude/skills/experiment-conventions
Command: npx skills add https://github.com/JoernStoehler/msc-math --skill experiment-conventions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Defines and enforces conventions for organizing experiments, enabling consistent workflows, documentation, and collaboration across Rust, Python, and math writeups.

Core Features & Use Cases

Directory layout and naming conventions for experiments/, including logbooks and math writeups
Guidelines for the two living documents (logbook.md and math.tex) and the overall pipeline
Writing rules, self-review practices, and data management within experiments/

Quick Start

Adopt the experiment-conventions to structure your experiments folder and start documenting experiments today.

Frequently Asked Questions about experiment-conventions

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

FAQPage Schema

How do I structure an experiments directory for reproducible research?▼

Standardizing experiment conventions involves defining directory layouts, pipeline workflows, and git data handling for Rust binaries, Python scripts, and JSONL data. This structure ensures reproducible research and consistent collaboration across math writeups.

What are the best conventions for maintaining a research logbook and math writeups?▼

The best conventions for maintaining a research logbook and math writeups involve treating logbook.md and math.tex as living documents. Applying specified writing rules and self-review practices ensures ongoing documentation tracks experiment progress and maintains quality.

Does this convention standardize data handling for Python scripts and Rust binaries?▼

Yes, the convention standardizes data handling for Python scripts and Rust binaries by specifying directory layouts, pipeline integration, and git data handling rules within the experiments folder to ensure reproducible workflows across different code bases.

How do I document experimental pipelines and JSONL data for collaboration?▼

To document experimental pipelines and JSONL data for collaboration, apply standardized directory layouts and documentation rules. Maintaining logbook.md alongside the pipeline ensures experimental data and workflows remain transparent and reproducible for all collaborators.

Why use standardized directory layouts for experiments and math tex files?▼

Using standardized directory layouts for experiments and math.tex files enforces reproducible research workflows. Defining conventions for living documents, pipeline rules, and self-review practices ensures consistent organization and reliable collaboration across Rust and Python projects.