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morphometric_analysis

Extract 64 semilandmarks from fossil images and export TPS, CSV, Excel, and JSON data.

1|Updated Mar 8, 2026
Search Tags:#image analysis#paleontology#morphometrics#landmark extraction#geometric morphometrics#fossil analysis
One-click install
npx skills add https://github.com/syxscott/PaleoClaw --skill morphometric-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: morphometric_analysis
Source: https://github.com/syxscott/PaleoClaw/tree/main/skills/morphometric_analysis
Command: npx skills add https://github.com/syxscott/PaleoClaw --skill morphometric-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sharp, @napi-rs/canvas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the extraction of precise landmark data from fossil images, a crucial step for quantitative shape analysis in paleontology, saving researchers significant manual effort and time.

Core Features & Use Cases

  • Automated Landmark Extraction: Accurately identifies and extracts 64 semilandmarks from fossil images, compatible with standard geometric morphometrics software.
  • Multi-Format Export: Outputs data in TPS, CSV, Excel, and JSON formats, ensuring broad compatibility with tools like MorphoJ and R's geomorph package.
  • Use Case: A paleontologist studying ammonoid evolution can upload a collection of fossil images and use this Skill to automatically generate the necessary landmark data for statistical shape analysis, enabling them to quantify morphological differences across species or time periods.

Quick Start

Use the morphometric_analysis skill to extract landmarks from the image ammonoid.png.

Frequently Asked Questions about morphometric_analysis

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

FAQPage Schema
How do I extract morphometric landmarks from fossil images for geometric morphometrics?▼

This Skill automates extracting 64 semilandmarks from fossil images for geometric morphometrics, outputting data ready for quantitative shape analysis in paleontology.

What is the best way to automate landmark extraction for ammonoid fossil shape analysis?▼

The best way to automate landmark extraction for ammonoid fossils is to upload the images to this Skill, which automatically identifies 64 semilandmarks and exports the shape data for statistical analysis.

Does this fossil image analysis tool export TPS and CSV files for MorphoJ and R geomorph?▼

Yes, this fossil image analysis tool exports landmark data in TPS, CSV, Excel, and JSON formats, ensuring broad compatibility with standard paleontological research software like MorphoJ and R's geomorph package.

Do I need Node.js and sharp installed to process fossil images for semilandmark extraction?▼

Yes, you need the Node.js packages sharp and @napi-rs/canvas installed in your environment to process fossil images and extract semilandmark data using this Skill.

Can I use this geometric morphometrics tool on fossils without clear outlines?▼

You should not use this geometric morphometrics tool on fossils without clear outlines, as the automated semilandmark extraction requires well-defined fossil shapes to accurately quantify morphological data.

Why use automated landmark extraction instead of manual plotting for paleontological research?▼

Using automated landmark extraction instead of manual plotting saves researchers significant time and effort while providing precise 64-point semilandmark data for quantitative shape analysis in paleontology.

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