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Plate Tectonics Analysis

Organization
cxcscmu
plate-tectonics-analysis

Analyzing earthquake data relative to tectonic plate boundaries using PB2002 dataset and GeoPandas.

Overview

Publishercxcscmu
RepositorySkillLearnBench
Skill nameplate-tectonics-analysis
Stars
91
Forks
7
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cxcscmu on GitHub. Read the source before you install it.

Installation

Install the Plate Tectonics Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-opus-4-6/earthquake-plate-calculation/plate-tectonics-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cxcscmu/SkillLearnBench.git /tmp/SkillLearnBench
mkdir -p .claude/skills
cp -r /tmp/SkillLearnBench/skills/b1-one-shot-claude-opus-4-6/earthquake-plate-calculation/plate-tectonics-analysis .claude/skills/plate-tectonics-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plate Tectonics Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Plate Tectonics Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Plate Tectonics Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Plate Tectonics Analysis with PB2002 Dataset

PB2002 Dataset Structure

Plates (PB2002_plates.json)

  • GeoJSON FeatureCollection with Polygon geometries
  • Properties include PlateName (e.g., "PA" for Pacific)
  • Each feature is a tectonic plate polygon

Boundaries (PB2002_boundaries.json)

  • GeoJSON FeatureCollection with LineString geometries
  • Properties: PlateA, PlateB (2-letter plate codes), Name, Type
  • Pacific plate code: "PA"
  • Boundaries involving Pacific: PlateA == "PA" or PlateB == "PA"

Common Plate Codes

  • PA: Pacific, NA: North America, SA: South America
  • EU: Eurasia, AF: Africa, AN: Antarctica
  • AU: Australia, IN: India, NZ: Nazca

Workflow: Find Earthquakes Inside a Plate

python
import geopandas as gpd

# Load plate polygons and earthquake points
plates = gpd.read_file("PB2002_plates.json")
earthquakes = gpd.read_file("earthquakes.json")

# Get Pacific plate polygon
pacific = plates[plates["PlateName"] == "PA"]

# Spatial join: earthquakes within Pacific plate
eq_in_pacific = gpd.sjoin(earthquakes, pacific, predicate="within")

Workflow: Get Plate Boundaries

python
boundaries = gpd.read_file("PB2002_boundaries.json")

# Filter boundaries of Pacific plate
pa_bounds = boundaries[
    (boundaries["PlateA"] == "PA") | (boundaries["PlateB"] == "PA")
]

# Merge all boundary segments into one geometry
pa_boundary_union = pa_bounds.unary_union

Workflow: Distance from Earthquake to Plate Boundary

python
# Project both to a suitable CRS
proj_crs = "+proj=aeqd +lat_0=0 +lon_0=-160 +datum=WGS84 +units=m"

eq_proj = eq_in_pacific.to_crs(proj_crs)
boundary_proj = pa_bounds.to_crs(proj_crs)
boundary_union_proj = boundary_proj.unary_union

# Calculate distances
eq_proj["dist_to_boundary"] = eq_proj.geometry.distance(boundary_union_proj)
eq_proj["dist_km"] = eq_proj["dist_to_boundary"] / 1000

# Find the earthquake furthest from boundary
furthest = eq_proj.loc[eq_proj["dist_km"].idxmax()]

Frequently asked questions

What does the Plate Tectonics Analysis AI skill do?

Analyzing earthquake data relative to tectonic plate boundaries using PB2002 dataset and GeoPandas.

Why use Plate Tectonics Analysis on TypingMind?

Because you install it once and use it with any model. Plate Tectonics Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Plate Tectonics Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-opus-4-6/earthquake-plate-calculation/plate-tectonics-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Plate Tectonics Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Plate Tectonics Analysis?

As many as you like. As long as a model supports skills, you can use Plate Tectonics Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Plate Tectonics Analysis AI skill free?

Yes. It is published on GitHub by cxcscmu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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