What problem does it solve? Running the LandscapeDNDC biogeochemistry model correctly requires deep operational knowledge: exact XML input formats, strict unit conventions (e.g., soil organic carbon as mass fraction, Ksat in cm/min), exact species names, and correct module stacks. This Skill packages that expertise so an AI agent can configure, execute, and validate LDNDC runs without silent scientific errors. ## Core Features & Use Cases - End-to-end simulation pipeline: 20 tools across 10 stages covering project setup, site/soil XML generation from HWSD or VIC data, climate forcing conversion (CMFD/MSWX/VIC), management events, execution, and output parsing. - GHG and nutrient analysis: Parse N2O, CO2, CH4, NO, NH3 fluxes and NO3 leaching, and aggregate annual C/N/water budgets with mass-balance closure checks. - Diagnostic recovery: 22+ diagnostic triplets map symptoms (crashes, silent unit errors, species mismatches) to validated remedies. - Use Case: Simulate N2O emissions and nitrate leaching for a wheat-maize rotation at a new site by converting VIC forcing and HWSD soil data, generating management XML, running the LDNDC binary, and parsing validated GHG output. ## Quick Start Ask the agent to run the preflight check and then execute the Bengbu GHG pipeline tool with your latitude, longitude, and forcing file to produce validated N2O and leaching estimates.