tda-trajectory-baselines

Builds conventional trajectory analysis baselines to compare against persistent-homology results.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill aids in creating conventional baselines for trajectory work, allowing for contextualization of persistent-homology results and aiding in interpretation and comparison.

Core Features & Use Cases

  • Baseline Construction: Develops various baseline classes (e.g., descriptive, predictive, robustness) to compare against persistent-homology results.
  • Contextualization: Helps to contextualize persistent-homology findings in the context of trajectory analysis.
  • Use Case: For a study on market regimes, use this Skill to build a negative-control baseline for comparison with PH regimes, ensuring accurate interpretation.

Quick Start

To use this skill, specify the input representation and ensure sample comparability before building a baseline and running the necessary checks.

Frequently Asked Questions about tda-trajectory-baselines

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

FAQPage Schema
How do I build baselines to contextualize persistent-homology results in trajectory analysis?

Build baselines for trajectory analysis by constructing conventional descriptive, predictive, and robustness classes to compare against persistent-homology results. This contextualization aids in interpreting and comparing trajectory findings accurately.

What checks are required before computing a baseline for trajectory data comparison?

Before computing a baseline for trajectory data comparison, you must validate the input representation and ensure sample comparability. Running these checks guarantees accurate baseline construction and reliable persistent-homology contextualization.

When do I need a negative-control baseline for persistent-homology trajectory findings?

You need a negative-control baseline for persistent-homology trajectory findings when interpreting complex regimes, such as market regimes. Building this baseline ensures accurate comparison and validation of PH regime results.

What baseline classes are available for comparing trajectory analysis results?

Available baseline classes for comparing trajectory analysis results include descriptive, predictive, and robustness baselines. These classes provide conventional benchmarks to contextualize and validate persistent-homology findings.

Can I use trajectory baselines for data comparison without persistent-homology data?

Trajectory baselines are designed to contextualize persistent-homology results, requiring validation of input representation and sample comparability. While focused on PH comparison, the baseline construction logic supports general trajectory data comparison.