When should I use compute_test_mode instead of production mode?

Test mode is recommended for debugging or diagnosing specific plan failures, as it runs plans sequentially in an isolated folder.

How does it determine the number of parallel workers?

The skill uses a formula that balances total system cores against the model type (1D vs 2D) to ensure maximum throughput without crashing the system.

Does this skill support HEC-RAS versions older than 6.0?

No, this skill is specifically designed for HEC-RAS 6.x. If it detects an older version, it will redirect you to use the RasControl legacy skill.

Can it identify why a simulation plan is blocked?

Yes, it performs a dependency check for missing geometry, flow, and DSS files, providing a resolution table for any identified issues.

Does this skill help with remote distributed computing?

Yes, it includes logic to determine when remote workers are available and provides the necessary configuration for compute_parallel_remote().

HEC-RAS Execution Strategy Planner

Name: HEC-RAS Execution Strategy Planner
Author: gpt-cmdr

bygpt-cmdr

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Data Science & ML

Analyzes HEC-RAS projects to recommend optimal execution modes, plan ordering, and parallel processing parameters.

This skill provides intelligent decision support for HEC-RAS 6.x simulation workflows, helping users navigate complex execution strategies. By analyzing project inspector reports, it automatically determines whether to use sequential, parallel, or remote execution modes and calculates the ideal allocation of system resources like CPU cores and workers. It identifies model blockers—such as missing geometry or flow files—before runtime, suggests specific geometry and rerun flags, and generates structured execution scripts that optimize simulation throughput while maintaining data integrity.

Key Features

01Automated dependency analysis and file-level blocker detection

02Optimization recommendations for geometry and rerun flags

0343 GitHub stars

04Automated execution mode selection including parallel and remote options

05Structured execution plan generation for batch processing and debugging

06Intelligent resource allocation for workers and CPU cores based on model type

Use Cases

01Optimizing large batch simulations of multiple HEC-RAS plans across local or remote hardware

02Troubleshooting blocked simulations by identifying missing files or outdated geometry HDFs

03Determining the most efficient parallel processing configuration for 1D vs 2D hydraulic models

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gpt-cmdr/ras-commander hecras_plan_execution

For use in Claude.ai and ChatGPT

Download Skill