Pywr Knowledge Infrastructure — Agent Entry Point
CommunityAutomate Pywr reservoir modeling end-to-end.
Authorlzwei196
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The Skill enables automated, end-to-end execution of Pywr reservoir-operations pipelines within HydroCraft, turning static basins into runnable models for autonomous AI agents.
Core Features & Use Cases
- End-to-end model assembly: from dam inventory to reservoir properties, inflow conversion, demands, and operating rules, producing a complete Pywr JSON model.
- Automated execution and diagnostics: run the model, extract storage/release results, plot outputs, and optionally inject regulated releases back to CaMa-Flood for downstream routing.
- Reproducible experiments: stage-by-stage tooling with validation checks and diagnostic triplets to troubleshoot infeasibilities and unit-conversion issues.
Quick Start
Run the integrated Pywr pipeline to build and execute a reservoir-operations model from GRanD data and VIC/observed inflows.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Pywr Knowledge Infrastructure — Agent Entry Point Download link: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/archive/main.zip#pywr-knowledge-infrastructure-agent-entry-point Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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