Can I modify cross-section geometry programmatically?

Absolutely. You can read station-elevation data into a DataFrame, apply modifications (like lowering a channel), and write it back with automatic bank station interpolation.

How does the skill handle HEC-RAS point limits?

The skill includes logic to validate that cross sections do not exceed the HEC-RAS 450-point limit and provides patterns for geometry simplification.

Does this skill support the latest HEC-RAS versions?

Yes, it is specifically optimized for HEC-RAS 6.x geometry files and handles modern 2D land cover and structure formats.

What structures can I parse with this skill?

It supports a wide range of structures including bridges, culverts (all standard shapes), lateral structures, inline weirs, and storage areas.

Is there a risk of corrupting my HEC-RAS project files?

All write operations performed via this skill automatically create a .bak backup file of the original geometry before any modifications are saved.

HEC-RAS Geometry Parser

Name: HEC-RAS Geometry Parser
Author: gpt-cmdr

bygpt-cmdr

•

Ciencia de Datos y ML

Parses and modifies HEC-RAS plain text geometry files using a Python API designed for hydraulic modeling automation.

This skill provides a robust interface for interacting with HEC-RAS plain text geometry files (.g##), handling the complexities of the legacy FORTRAN-based fixed-width format. It enables engineers and developers to programmatically extract, analyze, and modify cross sections, storage areas, bridges, culverts, and Manning's n tables. By automating these manual tasks, the skill facilitates batch modifications, data extraction for reporting, and seamless integration with modern data science workflows, ensuring data integrity through automatic backups and geometric validation.

Características Principales

01Extract and modify 1D cross-section station-elevation data and bank stations

02Parse and update bridge, culvert, and lateral structure geometry

03Extract storage area elevation-volume curves and connectivity data

0435 GitHub stars

05Manage Manning's n roughness tables for both 1D and 2D land cover

06Automate geometric validation including point limit checks and bank interpolation

Casos de Uso

01Extracting culvert and bridge inventories for automated engineering reports

02Programmatic conversion of legacy .g## files into DataFrames for AI-driven analysis

03Batch updating channel elevations or roughness across large hydraulic models

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gpt-cmdr/ras-commander parsing-hecras-geometry

For use in Claude.ai and ChatGPT

Download Skill