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Loads, merges, and preprocesses lake water temperature and environmental driver CSV datasets. Provides category mapping for Heat/Flow/Wind/Human factor groups.
evo-lake-data-pipeline is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # evo-lake-data-pipeline Loads and merges four CSV datasets (water_temperature, climate, land_cover, hydrology) into analysis-ready DataFrames. ## Category Mapp. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding evo-lake-data-pipeline to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
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# evo-lake-data-pipeline Loads and merges four CSV datasets (water_temperature, climate, land_cover, hydrology) into analysis-ready DataFrames. ## Category Mapping | Category | Var