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- Nemoclaw User Configure InferenceLists all inference providers offered during NemoClaw onboarding. Use when explaining which providers are available, what the onboard wizard presents, or how inference routing works. Trigger keywords - nemoclaw inference options, nemoclaw onboarding providers, nemoclaw inference routing, switch nemoclaw inference model, change inference runtime, nemoclaw local inference, ollama nemoclaw, vllm nemoclaw, local model server, openai compatible endpoint.Votes: 0GitHub stars: 2
- Nemoclaw Skills GuideStart here. Introduces what NemoClaw is, what agent skills are available, and which skill to use for a given task. Use when discovering NemoClaw capabilities, choosing the right skill, or orienting in the project. Trigger keywords - skills, capabilities, what can I do, help, guide, index, overview, start here.Votes: 0GitHub stars: 2
- Nemoclaw Maintainer Cut Release TagCut a new semver release — bump all version strings via bump-version.ts, open a release PR, and after merge tag main and push. Use when cutting a release, tagging a version, shipping a build, or preparing a deployment. Trigger keywords - cut tag, release tag, new tag, cut release, tag version, ship it.Votes: 0GitHub stars: 2
- DocsEnable reservoir routing in wflow_sbm simulations using GRanD (Global Reservoir and Dam) data. Reservoirs intercept river flow, apply operating rules, and release water downstream -- significantly altering flow timing, magnitude, and seasonal distribution.Votes: 0GitHub stars: 200
- PyGIMLi**Package**: hydrocraft-pygimli-geophysics v1.0.0 **Model**: pyGIMLi (Python Library for Geophysical Inversion and Modelling) **Version**: 1.5+ **Domain**: Geophysics — Electrical Resistivity Tomography (ERT), Seismic Refraction (SRT), Electromagnetics (EM), Induced Polarization (IP) **Authors**: Carsten Rücker, Thomas Günther, Florian Wagner **License**: Apache 2.0 **Stats**: 4 tools | 5 skill documents | 18 diagnostic triplets | ~71,000 lines Python ---Votes: 0GitHub stars: 200
- DocsConfigure mizuRoute to route flow through lakes and reservoirs using one of three available schemes. Required for basins with significant storage (reservoirs, natural lakes).Votes: 0GitHub stars: 200
- Docs> **Stage ID**: s7_output_parsing > **Pipeline order**: 7 of 8 > **Depends on**: s6_executionVotes: 0GitHub stars: 200
- Docs> **Stage ID**: s6_execution > **Pipeline order**: 6 of 8 > **Depends on**: s5_engine_configVotes: 0GitHub stars: 200
- WOFOST**Model**: WOFOST 7.2 (WOrld FOod STudies) via PCSE 6.0 (Python Crop Simulation Environment) **Domain**: Crop growth simulation / food production modelling **Created by**: Zhang Jianyun Research Group, Hohai University ---Votes: 0GitHub stars: 200
- Docs> **Stage ID**: s4_lid_setup > **Pipeline order**: 4 of 7 > **Depends on**: s1_subcatchment_delineationVotes: 0GitHub stars: 200
- Docs> **Stage ID**: s8_model_execution > **Pipeline order**: 8 of 9 > **Depends on**: s7_simulation_configVotes: 0GitHub stars: 200
- Docs> **Stage ID**: s4_parameters > **Pipeline order**: 4 of 7 > **Depends on**: s1_domain_setup, s3_decisionsVotes: 0GitHub stars: 200
- Docs> **Stage ID**: s2_forcing_prep > **Pipeline order**: 2 of 7 > **Depends on**: s1_domain_setupVotes: 0GitHub stars: 200
- Docs**Stage:** s8_execution **Pipeline Order:** 8 **Depends On:** s7_scenario_assembly (complete, validated scenario directory) **Tool:** `run_rzwqm2` ---Votes: 0GitHub stars: 200
- Ki**Package**: hydrocraft-rapid-routing **Version**: 1.0.0 **Model**: RAPID (Routing Application for Parallel computatIon of Discharge) **Domain**: River network routing **Language**: Fortran 90 + PETSc **Tools**: 5 | **Skill Documents**: 6 | **Diagnostic Triplets**: 20 ---Votes: 0GitHub stars: 200
- RAPID**Package**: hydrocraft-rapid-routing **Version**: 1.0.0 **Model**: RAPID (Routing Application for Parallel computatIon of Discharge) **Domain**: River network routing **Language**: Fortran 90 + PETSc **Tools**: 5 | **Skill Documents**: 6 | **Diagnostic Triplets**: 20 ---Votes: 0GitHub stars: 200
- ParFlow**Package**: `hydrocraft-parflow` v1.2.0 **Model**: ParFlow v3.13+ (LLNL / Colorado School of Mines / Juelich) **Created by**: Jianyun Zhang Research Group, Hohai University **Last updated**: 2026-03-22 **Status**: **PRODUCTION VALIDATED** (Bengbu basin, real CMFD forcing, physically plausible discharge) **Stats**: 12 tools | 9 skill documents | 36 diagnostic triplets (12 validated) | 14 error log entries | 3,144 lines of validated Python ---Votes: 0GitHub stars: 200
- PRMS**Package**: `hydrocraft-prms` v1.0.0 **Model**: PRMS v5.1.0 (USGS Precipitation-Runoff Modeling System) **Created by**: Jianyun Zhang Research Group, Hohai University **Last updated**: 2026-03-25 **Stats**: 5 tools | 7 skill documents | 18 diagnostic triplets | ~2,000 lines of validated Python **Validation status**: `dissected` ---Votes: 0GitHub stars: 200
- Docs> **Stage ID**: s1_installation > **Pipeline order**: 1 of 9 > **Depends on**: noneVotes: 0GitHub stars: 200
- MARRMoT**Package**: hydrocraft-marrmot v1.0.0 **Model**: MARRMoT v2.1.2 (Modular Assessment of Rainfall-Runoff Models Toolbox) **Domain**: Conceptual rainfall-runoff hydrology **Language**: MATLAB / GNU Octave (with Python BMI interface) **License**: GNU GPL v3 **Created**: 2026-03-25 ---Votes: 0GitHub stars: 200
- Docs> **Stage ID**: s10_coupling > **Pipeline order**: 10 of 10 > **Depends on**: none (uses outputs from HydroCraft VIC/CaMa-Flood/DSSAT pipelines)Votes: 0GitHub stars: 200
- Docs> **Stage ID**: s0_installation > **Pipeline order**: 0 (prerequisite) > **Depends on**: noneVotes: 0GitHub stars: 200
- LDNDC> **Model**: LandscapeDNDC v1.37 (KIT/IMK-IFU) > **Domain**: Terrestrial biogeochemistry — C/N cycling, GHG emissions (N2O, CO2, CH4), nutrient leaching, crop yield > **Pipeline stages**: 10 | **Tools**: 19 | **Skill documents**: 10 | **Diagnostic triplets**: 22 > **Binary**: `model/ldndc/ldndc-1.37.linux64/bin/ldndc` (pre-built, Linux 64-bit) > **Status**: Validated on Bengbu wheat-maize (2000-2005) — N2O=4.9 kgN/ha/yr matches field measurementsVotes: 0GitHub stars: 200
- DuMux**Package**: `hydrocraft-dumux-groundwater` v1.0.0 **Model**: DuMux 3.11-dev (built on DUNE framework) **Domain**: Groundwater flow and transport in porous media **Created by**: Knowledge Dissection Toolkit **Last updated**: 2026-03-25 **Stats**: 4 tools | 5 skill documents | 22 diagnostic triplets | ~1,500 lines of validated Python | 4 new obs_datasets entriesVotes: 0GitHub stars: 200