tda-experiment

Scaffold and execute TDA experiments via a command-line interface.

1|Updated Dec 13, 2025
One-click install
npx skills add https://github.com/stephendor/TDL --skill tda-experiment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tda-experiment
Source: https://github.com/stephendor/TDL/tree/main/.agents/skills/tda-experiment
Command: npx skills add https://github.com/stephendor/TDL --skill tda-experiment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the setup and execution of Topological Data Analysis (TDA) experiments, reducing manual setup and streamlining the process for users.

Core Features & Use Cases

  • Experiment Scaffolding: Automatically generates the necessary code structure for a TDA experiment.
  • Standardization: Ensures that experiments follow a standardized format and conventions.
  • Use Case: A user can initiate a new TDA experiment with a simple command, which will then set up the experiment structure and guidelines.

Quick Start

Start a new TDA experiment named 'wasserstein-bhps-validation' for the 'trajectory_tda' domain.

Frequently Asked Questions about tda-experiment

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

FAQPage Schema
How do I scaffold a new TDA experiment following codebase conventions?

The Skill automates scaffolding TDA experiments by using a command-line interface to generate the necessary code structure. This ensures your topological data analysis experiment follows predefined codebase conventions.

What is the best way to automate topological data analysis experiment setup?

Automating TDA experiment setup is best handled by a command-line scaffolding tool that generates standardized code structures. This reduces manual setup and streamlines the process for researchers and analysts.

Can I use this to standardize experiment automation for research workflows?

Yes, this standardizes experiment automation for research workflows by enforcing a predefined format and conventions. It is intended for researchers and analysts performing TDA in software engineering workflows.

Does setting up topological data analysis require manual code structuring?

Setting up topological data analysis does not require manual code structuring when using this automation tool. It automatically generates the necessary code structure and guidelines for your experiment.

What limitations exist when scaffolding experiments with predefined conventions?

The primary limitation when scaffolding experiments with predefined conventions is that the generated structure must adhere to the established codebase format. This ensures standardization but may restrict highly customized experiment setups.