{"product_id":"ai-skill-synthesized-swmm-drainage-networks-with-public-data","title":"AI Skill: Synthesized SWMM Drainage Networks with Public Data","description":"\u003ch3\u003eUnleash the Power of Public Data to Synthesize SWMM Drainage Networks\u003c\/h3\u003e\n\n\u003cp\u003eTransform 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.\u003c\/p\u003e\n\n\u003ch3\u003eWhat This Skill Does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eData Collection:\u003c\/strong\u003e Leverages SWMManywhere to download public source data, including OpenStreetMap (OSM) streets and Digital Elevation Model (DEM) tiles from Planetary Computer.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eInput Snapshot:\u003c\/strong\u003e 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.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNetwork Synthesis:\u003c\/strong\u003e Constructs a feasible SWMM drainage network from the downloaded public data to provide a baseline understanding before real data becomes available.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse Cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eBaseline Modeling:\u003c\/strong\u003e Begin projects swiftly with a synthesized network when awaiting detailed GIS or CAD pipe data.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eFeasibility Studies:\u003c\/strong\u003e Employ this tool for initial environmental modeling or planning where only minimal data inputs are present.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eResource-Limited Environments:\u003c\/strong\u003e Ideal for areas lacking detailed infrastructure records, providing essential groundwork for further development.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical Details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCapabilities Utilized:\u003c\/strong\u003e agentic-ai, aiapplication, swmm-anywhere.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eData Sources:\u003c\/strong\u003e OpenStreetMap (OSM) for streets, and DEM from the Planetary Computer.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eIntegration \u0026amp; Compatibility:\u003c\/strong\u003e Exclusively designed for scenarios without real pipe shapefile, CAD, or GIS data. Direct compatibility with AI platforms like Claude Code, Cursor, and Codex.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eEmbrace 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.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eZhonghao1995\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/Zhonghao1995\/agentic-swmm-workflow\" rel=\"nofollow noopener\" target=\"_blank\"\u003eZhonghao1995\/agentic-swmm-workflow\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour 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.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis 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.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, 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.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":52732364161335,"sku":"MCP-ZHONGHAO1995-AGENTIC-SWMM-WORKFLOW-SWMM-ANYWHERE","price":19.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/w7k0IMCmfLda4jFFcF1AR_9f149454a2504713befb2768f2378803.jpg?v=1785243983","url":"https:\/\/mcpcart.com\/products\/ai-skill-synthesized-swmm-drainage-networks-with-public-data","provider":"SPF PRO","version":"1.0","type":"link"}