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Claude Skills by lzwei196
github.com/lzwei196354 skills5 installs1,081 views
- Docs> **Stage ID**: s7_physics_comparison > **Pipeline order**: 7 of 7 > **Depends on**: s6_executionVotes: 0GitHub stars: 231
- DocsSUMMA has **no internal channel routing**. `averageRoutedRunoff` is the sub-grid gamma time-delay histogram, not channel discharge. Gauged-streamflow validation therefore requires this stage. See `dag.yaml` hazards: `averageRoutedRunoff_scored_as_channel_discharge`, `mizuroute_hybas_id_int32_overflow_and_unit_double_conversion`, `lumped_discretisation_cannot_be_routed`.Votes: 0GitHub stars: 231
- SWAN**Package**: `pyswan-ocean` v1.0.0 **Model**: PySWaN — Python I/O and spectral analysis toolbox for SWAN (Simulating WAves Nearshore) **Source**: [github.com/openearth/swan](https://github.com/openearth/swan) **Author**: Gerben de Boer (TU Delft / Van Oord) **Last updated**: 2026-03-26 **Stats**: current tool and triplet counts: the KI map at the top of this file; the stage guides are in `docs/` **Validation status**: `tested` (round-trip JONSWAP spectrum generation, write, read, Hm0 verifica...Votes: 0GitHub stars: 231
- SWAP**Package**: `hydrocraft-swap-soil` v1.0.0 **Model**: SWAP v4.2.0 **Developer**: Wageningen University and Research (WUR), The Netherlands **Last updated**: 2026-03-28 **Stats**: current tool, stage-doc and triplet counts: the KI map at the top of this file **Validation status**: `analytic` (Hupselbrook, NL, 2002-2004) + `real-case` (see the run records) ---Votes: 0GitHub stars: 231
- DocsDefine the simulation site, period, forcing source, crop schedule, and output options. This stage establishes all parameters needed to assemble a complete SWAP .swp file.Votes: 0GitHub stars: 231
- DocsConvert external meteorological data (CMFD, MSWX, or other sources) to the SWAP .met file format with correct units and structure.Votes: 0GitHub stars: 231
- DocsConvert soil texture/property data from HWSD or other databases to SWAP Mualem-van Genuchten (MvG) hydraulic parameters and profile discretization.Votes: 0GitHub stars: 231
- DocsRun the SWAP binary with validated input files and verify successful completion through output file checks and water balance closure.Votes: 0GitHub stars: 231
- DocsExtract and structure SWAP output files into standardized CSV format for analysis, visualization, and comparison with observations.Votes: 0GitHub stars: 231
- DocsGenerate publication-quality plots of SWAP simulation results and compare against observations for model validation.Votes: 0GitHub stars: 231
- SWAT Pluspython tools/s1/delineate_watershed.py dem_clip.tif <lat> <lon> delin/ 25 0.01 python tools/s1/build_channel_topology.py \ --subbasin_raster delin/subbasins.tif --dem_path dem_clip.tif \ --flow_dir delin/flow_direction.tif --flow_acc delin/flow_accumulation.tif \ --streams_shp delin/streams.shp \ --repair_spurious_outlets \ --output delin/channel_topology.json python tools/s2/generate_hru_from_global.py --basin_shp delin/watershed.shp \ --dem_path dem_clip.tif --output_dir TxtInOut --basin_na...Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s1_watershed_delineation > **Pipeline order**: 1 of 9 > **Depends on**: noneVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s2_hru_definition > **Pipeline order**: 2 of 9 > **Depends on**: s1_watershed_delineationVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s3_weather_preparation > **Pipeline order**: 3 of 9 > **Depends on**: s1_watershed_delineation (for station locations)Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s4_soil_database > **Pipeline order**: 4 of 9 > **Depends on**: none (independent — can run in parallel with S1-S3)Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s5_landuse_management > **Pipeline order**: 5 of 9 > **Depends on**: s2_hru_definitionVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s6_calibration_parameters > **Pipeline order**: 6 of 9 > **Depends on**: s2_hru_definition, s4_soil_databaseVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s7_simulation_config > **Pipeline order**: 7 of 9 > **Depends on**: s1_watershed_delineation, s2_hru_definition, s3_weather_preparation, s4_soil_database, s5_landuse_management, s6_calibration_parametersVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s8_model_execution > **Pipeline order**: 8 of 9 > **Depends on**: s7_simulation_configVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s9_output_parsing > **Pipeline order**: 9 of 9 > **Depends on**: s8_model_executionVotes: 0GitHub stars: 231
- SWMM**Model**: EPA SWMM 5.2 (Storm Water Management Model) **Developer**: US Environmental Protection Agency / Computational Hydraulics International (CHI) **Engine**: C library (open source), accessed via pyswmm (Python) or swmm-toolkit **Domain**: Urban stormwater drainage, pipe network hydraulics, green infrastructure (LID), urban flood modeling **Repository**: https://github.com/USEPA/SWMM (C engine), https://github.com/pyswmm/pyswmm (Python API) **Documentation**: https://www.epa.gov/water-r...Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s1_subcatchment_delineation > **Pipeline order**: 1 of 7 > **Depends on**: noneVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s2_drainage_network > **Pipeline order**: 2 of 7 > **Depends on**: none (can run in parallel with S1 and S3)Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s3_rainfall_forcing > **Pipeline order**: 3 of 7 > **Depends on**: none (can run in parallel with S1 and S2)Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s4_lid_setup > **Pipeline order**: 4 of 7 > **Depends on**: s1_subcatchment_delineationVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s5_model_assembly > **Pipeline order**: 5 of 7 > **Depends on**: s1_subcatchment_delineation, s2_drainage_network, s3_rainfall_forcing (optionally s4_lid_setup)Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s6_execution > **Pipeline order**: 6 of 7 > **Depends on**: s5_model_assemblyVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s7_model_coupling > **Pipeline order**: 7 of 7 > **Depends on**: s6_execution (and VIC/CaMa-Flood simulations from HydroCraft)Votes: 0GitHub stars: 231
- SimFire**Package**: simfire-wildfire v2.0.1 **Target Model**: SimFire 2.0.1 (Rothermel Surface Fire Spread) **Domain**: Wildfire simulation, fire behavior prediction, reinforcement learning **Authors**: MITRE Fireline (Welsh, Dotter, Doyle, Gandikota, Kempis, Schambach, Tapley, Threet) **Last updated**: 2026-08-09 **Stats**: ~10,600 lines Python source, current tool, stage-doc and triplet counts: the KI map at the top of this file ---Votes: 0GitHub stars: 231
- SimPEG| Field | Value | |----------------|-------------------------------------------------------------| | **Package** | SimPEG KI v1.0 | | **Model** | SimPEG (Simulation and Parameter Estimation in Geophysics) | | **Domain** | Geophysics (forward modeling and inversion) | | **Language** | Python (>=3.11) | | **Authors...Votes: 0GitHub stars: 231
- SuperflexPy**Package**: superflexpy-ki v1.0.0 **Model**: SuperflexPy v1.3.2 — Flexible Conceptual Hydrological Modelling Framework **Authors**: Marco Dal Molin, Fabrizio Fenicia, Dmitri Kavetski **Created by**: Hydrocraft / auto_dissect **Last updated**: 2026-03-25 **Stats**: ~2800 lines | current tool, stage-doc and triplet counts: the KI map at the top of this file ---Votes: 0GitHub stars: 231
- TELEMAC MASCARET| Field | Value | |--------------------|-------------------------------------------------------------| | Package | `telemac-mascaret-ki` | | Model | TELEMAC-MASCARET v9.1.0 | | Domain | Free-surface flow, wave propagation, sediment transport | | Language | Fortran 90 / Python 3 ...Votes: 0GitHub stars: 231
- TOPMODEL**Package**: `hydrocraft-topmodel` v1.0.0 **Model**: TOPMODEL BMI (Beven & Kirkby 1979, NOAA-OWP C implementation) **Created by**: Jianyun Zhang Research Group, Hohai University **Last updated**: 2026-03-28 **Stats**: current tool, stage-doc and triplet counts: the KI map at the top of this file **Validation status**: see `knowledge_infrastructure.yaml` ---Votes: 0GitHub stars: 231
- TRIGRS**Package**: `hydrocraft-trigrs-landslide` v1.0.0 **Model**: TRIGRS v2.1.00c (serial) + MPI parallel version **Source**: USGS (Rex L. Baum & Massimiliano Alvioli) **Last updated**: 2026-03-26 **Stats**: current tool, stage-doc and triplet counts: the KI map at the top of this file **Validation status**: `tutorial_validated` (USGS tutorial dataset, Srivastava-Yeh column test) ---Votes: 0GitHub stars: 231
- TopoFlow| Field | Value | |-------------------|--------------------------------------------| | Package | topoflow-ki | | Version | 1.0.0 | | Target Model | TopoFlow 3.6 | | Domain | Spatially-distributed hydrology | | Author | Scott D. Peckham (model); KI auto-dissect | | Created | 2026-0...Votes: 0GitHub stars: 231
- VELMA**Package**: hydrocraft-velma v1.0.0 **Model**: VELMA (Visualizing Ecosystem Land Management Assessments) **Domain**: Spatially distributed ecohydrology (water, carbon, nitrogen) on a DEM grid **Language**: Java — the REAL EPA VELMA 2.1 engine (`tools/run_velma_engine.py`). Python `tools/run_velma.py` is a SURROGATE (lumped 4-layer stand-in), not VELMA.Votes: 0GitHub stars: 231
- VIC``` Expected runtime depends on basin size and period. Water-balance mode costs about 95 s per simulated year for a basin of about 870 cells. ---Votes: 0GitHub stars: 231
- WASP> **Version**: EPA WASP 8.5.0 (real engine) + legacy analytic surrogate > **Domain**: surface-water quality (rivers, lakes, reservoirs, estuaries) > **Last updated**: 2026-10-07 > **Validation status**: official EPA example reproduced exactly; real-case results: see the run records ---Votes: 0GitHub stars: 231
- 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: 231
- Docs> **Stage ID**: s1_crop_params > **Pipeline order**: 1 of 8 > **Depends on**: noneVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s2_soil_params > **Pipeline order**: 2 of 8 > **Depends on**: noneVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s3_weather_prep > **Pipeline order**: 3 of 8 > **Depends on**: noneVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s4_agromanagement > **Pipeline order**: 4 of 8 > **Depends on**: s1_crop_params (crop_name and variety_name must match)Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s5_engine_config > **Pipeline order**: 5 of 8 > **Depends on**: s1_crop_params, s2_soil_params, s3_weather_prep, s4_agromanagementVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s6_execution > **Pipeline order**: 6 of 8 > **Depends on**: s5_engine_configVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s7_output_parsing > **Pipeline order**: 7 of 8 > **Depends on**: s6_executionVotes: 0GitHub stars: 231
- Docs> **Stage ID**: s8_yield_analysis > **Pipeline order**: 8 of 8 > **Depends on**: s7_output_parsingVotes: 0GitHub stars: 231
- WRF> **Version**: 4.7.1 > **Domain**: Mesoscale atmospheric simulation > **Last updated**: 2026-08-18 > **Validation status**: partial_replacement ---Votes: 0GitHub stars: 231
- WRF Hydro**Package**: `hydrocraft-wrfhydro-standalone` v2.2.0 **Model**: WRF-Hydro v5.2.0 offline (NoahMP land surface + gridded routing) **Created by**: Jianyun Zhang Research Group, Hohai University **Last updated**: 2026-03-21 (4 routing skill documents added) **Stats**: 28 error log entries | current tool, stage-doc and triplet counts: the KI map at the top of this file ---Votes: 0GitHub stars: 231
- Docs> **Stage ID**: s11_output_interpretation > **Pipeline order**: 11 of 12 (post-execution analysis) > **Depends on**: s10_execution (completed WRF-Hydro run)Votes: 0GitHub stars: 231