Run2 Execute Complete Geospatial Analysis Pipeline
[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.
npx -y skills add cxcscmu/SkillLearnBench --skill run2_Execute-Complete-Geospatial-Analysis-PipelineAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Orchestrate the full analysis workflow: load data, identify Pacific plate, filter earthquakes and boundaries, project to EPSG:4087, calculate distances, find the furthest earthquake, and save results. Use this as the main execution skill.
SKILL.md
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def execute_analysis():
"""
Execute the complete geospatial analysis pipeline.
"""
# Load all data
earthquakes = load_earthquake_data('/root/earthquakes_2024.json')
plates = load_plate_data('/root/PB2002_plates.json')
boundaries = load_boundary_data('/root/PB2002_boundaries.json')
# Identify Pacific plate
pacific_id, plate_name_col = find_pacific_plate_id(plates)
print(f"Pacific plate identifier: {pacific_id}")
# Filter earthquakes and boundaries
earthquakes_pacific = filter_earthquakes_within_pacific(earthquakes, plates, pacific_id, plate_name_col)
boundaries_pacific = filter_pacific_boundaries(boundaries, pacific_id)
# Project to EPSG:4087
earthquakes_proj, boundaries_proj = project_for_distance_calculation(earthquakes_pacific, boundaries_pacific)
# Calculate distances
earthquakes_with_dist = calculate_distances_to_boundary(earthquakes_proj, boundaries_proj)
# Find furthest earthquake
result = find_furthest_earthquake(earthquakes_with_dist)
# Save to JSON
save_result_to_json(result)
return result
# Execute
execute_analysis()
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