{"product_id":"enhance-difflow-with-ai-add-custom-unit-operations","title":"Enhance Difflow with AI: Add Custom Unit Operations","description":"\u003ch3\u003eEnhance Difflow with AI: Add Custom Unit Operations\u003c\/h3\u003e\n\n\u003cp\u003eThis AI agent skill enables developers to add a new unit operation to the Difflow codebase, supporting either core or dynamic configurations, including plugins such as Difflow Refinery or Difflow CC. Adhering to project conventions, it features a ParamsMixin params dataclass, JAX-only __call__, gradient checks, documentation, and catalog registration.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eIntroduces a new unit operation, aligning with Difflow’s existing architecture by following project-specific naming and placement conventions.\u003c\/li\u003e\n    \u003cli\u003ePrompts users to specify the physics (balances, equations) of the unit for accurate implementation.\u003c\/li\u003e\n    \u003cli\u003eUpdates necessary imports and exports within Difflow’s core or plugin structures.\u003c\/li\u003e\n    \u003cli\u003eImplements unit tests to ensure operational integrity, including gradient checks for verification.\u003c\/li\u003e\n    \u003cli\u003eIntegrates the new operation into the documentation and catalog for seamless developer access.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003eThis skill is intended for developers and teams using AI coding agents like Claude Code, Cursor, or Codex, who are involved in enhancing and contributing to the Difflow project. Specifically, those tasked with developing new unit operations in process simulation applications will find this skill beneficial.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eAdding a custom reactor, column, separator, or any unit operation to the Difflow core or plugin.\u003c\/li\u003e\n    \u003cli\u003eContributing to Difflow with new simulation modules following precise project guidelines.\u003c\/li\u003e\n    \u003cli\u003eIntegrating domain-specific equations and balances into Difflow’s simulation environment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eUtilizes ParamsMixin for data structure consistency.\u003c\/li\u003e\n    \u003cli\u003eEmploys JAX for numerical operations and __call__ implementations.\u003c\/li\u003e\n    \u003cli\u003eIncorporates unit testing with gradient checks to verify operation functionality.\u003c\/li\u003e\n    \u003cli\u003eEnsures updates align with Difflow’s .py files and CLAUDE.md directives.\u003c\/li\u003e\n\u003c\/ul\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\u003ejkitchin\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/jkitchin\/differentiable-flowsheets\" rel=\"nofollow noopener\" target=\"_blank\"\u003ejkitchin\/differentiable-flowsheets\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":53459713065271,"sku":"MCP-JKITCHIN-DIFFERENTIABLE-FLOWSHEETS-DIFFLOW-ADD-UNIT","price":19.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/dAFe7cljT-5rUGYtIfLYz_8f53709de28744089d73ba6e4728d748.jpg?v=1793362372","url":"https:\/\/mcpcart.com\/products\/enhance-difflow-with-ai-add-custom-unit-operations","provider":"SPF PRO","version":"1.0","type":"link"}