AutoSkill 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.

install

source · Clone the upstream repo

git clone https://github.com/ECNU-ICALK/AutoSkill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8/gps-data-interpolation-and-csv-export" ~/.claude/skills/ecnu-icalk-autoskill-gps-data-interpolation-and-csv-export && rm -rf "$T"

manifest: SkillBank/ConvSkill/english_gpt3.5_8/gps-data-interpolation-and-csv-export/SKILL.md

source content

GPS Data Interpolation and CSV Export

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

Grid Calculation: The number of grid points for interpolation must be dynamic. Calculate it as
```
num_grid_points = len(input_dataframe) * 10
```
.
Interpolation Method: Use standard interpolation techniques (e.g.,
```
scipy.interpolate.griddata
```
) to map measurements onto the generated grid.
Output Format: The final output must be a CSV file.
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