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Ai-Hydro Skills repo

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What's in it

Data offered llm-inferred
flood frequency analysis (GEV/LP3, return-period quantiles) · drought indices (SPI, SPEI, PDSI) · baseflow separation (Lyne-Hollick, Eckhardt, BFI, recession analysis) · catchment characterisation workflow · multi-gauge batch analysis workflow · ungauged basin regionalization workflow · HBV vs LSTM model selection guidance · calibration diagnostics (NSE/KGE/FDC, residuals) · signature interpretation (BFI, FDC slope, seasonality, runoff ratio) · snow hydrology trends (snowmelt timing, SWE trends, rain-on-snow) · hydrology figures and interactive HTML tools
Formats docs-verified
SKILL.md (Agent Skills open standard) · manifest.json
Access docs-verified
Open licence CC-BY-4.0; installed via the AI-Hydro VS Code extension (Skills toolbar > Marketplace tab); no authentication documented

Useful for

Use cases llm-inferred
FRA baseline flow statistics: flood frequency GEV/LP3 return-period quantiles from gauge records · Groundwater contribution screening for drainage or water-resources assessments using BFI and baseflow separation · Drought risk screening using SPI/SPEI from precipitation and temperature records · Rainfall-runoff model QA using NSE/KGE and flow duration curve diagnostics
Audience llm-inferred
hydrologists · flood consultants · water resources engineers · drainage engineers

Limitations

Constraints llm-inferred
Workflow playbooks for the AI-Hydro VS Code extension, not a data source or API · No data coverage, resolution or update frequency documented · Installation depends on the AI-Hydro extension and its Marketplace · No tools listed in entry metadata
Licence
Unknown — check provider terms
Authentication
Unknown — review source docs
GitHub stars
2
Last commit
02/10/2026
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Provenance & evidence

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 16/10/2026 · daily-2026-10-15 (github-search)