AI Skill: Synthesized SWMM Drainage Networks with Public Data

Unleash the Power of Public Data to Synthesize SWMM Drainage Networks

Transform the way you approach drainage network modeling with "AI Skill: Synthesized SWMM Drainage Networks with Public Data." This AI-powered tool skillfully constructs plausible Storm Water Management Model (SWMM) drainage networks using publicly available data, making it ideal for scenarios where real pipe-network data is unavailable.

What This Skill Does

• Data Collection: Leverages SWMManywhere to download public source data, including OpenStreetMap (OSM) streets and Digital Elevation Model (DEM) tiles from Planetary Computer.
• Input Snapshot: Captures a snapshot of the raw input data under a structured directory, utilizing a SHA-256 manifest for audit accuracy, preserving them in 'synth_provenance.json' to ensure data transparency.
• Network Synthesis: Constructs a feasible SWMM drainage network from the downloaded public data to provide a baseline understanding before real data becomes available.

Use Cases

• Baseline Modeling: Begin projects swiftly with a synthesized network when awaiting detailed GIS or CAD pipe data.
• Feasibility Studies: Employ this tool for initial environmental modeling or planning where only minimal data inputs are present.
• Resource-Limited Environments: Ideal for areas lacking detailed infrastructure records, providing essential groundwork for further development.

Technical Details

• Capabilities Utilized: agentic-ai, aiapplication, swmm-anywhere.
• Data Sources: OpenStreetMap (OSM) for streets, and DEM from the Planetary Computer.
• Integration & Compatibility: Exclusively designed for scenarios without real pipe shapefile, CAD, or GIS data. Direct compatibility with AI platforms like Claude Code, Cursor, and Codex.

Embrace the precision and potential of synthesized data modeling with this specialized AI skill, providing a crucial foundation when initiating infrastructure projects absent of current networks.

Source & Licence

This package is built on open-source work published by Zhonghao1995 (Zhonghao1995/agentic-swmm-workflow) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.