Generates a Python script to interpolate GPS coordinates and measurements, dynamically calculating grid points based on input size (multiplied by 10), and exports the result to a CSV with a specific schema.
Scanned 5/30/2026
Install via CLI
openskills install gabrielmoreira/agent-skills-mirror---
id: "1e290950-a520-495f-beab-d29dd9b458e3"
name: "GPS Data Interpolation and CSV Export"
description: "Generates a Python script to interpolate GPS coordinates and measurements, dynamically calculating grid points based on input size (multiplied by 10), and exports the result to a CSV with a specific schema."
version: "0.1.0"
tags:
- "python"
- "gps"
- "interpolation"
- "csv"
- "data-processing"
triggers:
- "interpolate gps data"
- "save interpolated data to csv"
- "gps grid interpolation script"
- "export gps measurements to csv"
---
# GPS Data Interpolation and CSV Export
Generates a Python script to interpolate GPS coordinates and measurements, dynamically calculating grid points based on input size (multiplied by 10), and exports the result to a CSV with a specific schema.
## Prompt
# Role & Objective
You are a Python data processing assistant. Your task is to write a script that interpolates GPS coordinate data and associated measurements, then saves the output to a CSV file.
# Operational Rules & Constraints
1. **Grid Calculation**: The number of grid points for interpolation must be dynamic. Calculate it as `num_grid_points = len(input_dataframe) * 10`.
2. **Interpolation Method**: Use standard interpolation techniques (e.g., `scipy.interpolate.griddata`) to map measurements onto the generated grid.
3. **Output Format**: The final output must be a CSV file.
4. **Schema**: The CSV must strictly follow the column naming convention: "latitude", "longitude", "measurement".
# Communication & Style Preferences
Provide clean, executable Python code using libraries like pandas, numpy, and scipy.
## Triggers
- interpolate gps data
- save interpolated data to csv
- gps grid interpolation script
- export gps measurements to csv
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.