atlas14-spatial-variance
This skill analyzes spatial variability of NOAA Atlas 14 precipitation data within HEC-RAS model domains. It helps engineers decide if uniform rainfall assumptions are valid for rain-on-grid modeling by calculating min/max/mean statistics. It uses HTTP byte-range requests to download only needed data, reducing transfer by 99.9% compared to traditional methods.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install gpt-cmdr-ras-commander-atlas14-spatial-variance
Repository
Skill path: .claude/skills/atlas14-spatial-variance
This skill analyzes spatial variability of NOAA Atlas 14 precipitation data within HEC-RAS model domains. It helps engineers decide if uniform rainfall assumptions are valid for rain-on-grid modeling by calculating min/max/mean statistics. It uses HTTP byte-range requests to download only needed data, reducing transfer by 99.9% compared to traditional methods.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: gpt-cmdr.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install atlas14-spatial-variance into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/gpt-cmdr/ras-commander before adding atlas14-spatial-variance to shared team environments
- Use atlas14-spatial-variance for data workflows
Works across
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Sub-skills: 0.
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