Interpret GRIB2 messages and map parameter triplets, levels, and time steps using wgrib2 workflows.
npx skills add https://github.com/four43/dotfiles --skill grib2
Please help me install this Agent Skill. Skill: grib2 Source: https://github.com/four43/dotfiles/tree/main/claude/skills/grib2 Command: npx skills add https://github.com/four43/dotfiles --skill grib2
GRIB2 data is dense and structured across multiple sections; this skill helps users understand, map, and access GRIB2 messages by exposing the core identity (parameter triplet), coordinates (level and time), and practical workflows for analysis.
Inspect a sample GRIB2 file and produce a concise mapping of each message to its parameter triplet, level, and time step, then follow with a basic wgrib2 indexing example.
High-intent search queries and answers about installing and using this skill.
GRIB2 parameters are identified using a parameter triplet of discipline, category, and number found in Section 4. This skill maps each GRIB2 message to its parameter triplet, level, and time step for clear data model interpretation.
wgrib2 extraction relies on indexing and matching parameter triplets and level types. This skill demonstrates practical workflows to selectively extract meteorological parameters from model outputs for analysis or visualization.
GRIB2 Section 4 encodes parameter identity via Code Tables 4.2 and 4.10, defining the discipline, category, and number. This skill helps you interpret these code tables to recognize level types and coordinates.
Yes, GRIB2 messages can be mapped to a data model representing variables, bands, and messages. This skill provides the mapping logic needed to align meteorological observations with your data structure.
Local-use parameters in GRIB2 data require specific lookup guidance to interpret correctly. This skill addresses common edge cases, including local-use parameters, to ensure accurate message-to-data-model mapping.
wgrib2 is essential for indexing, matching, and extracting GRIB2 data efficiently. This skill leverages wgrib2 workflows to help analysts and software engineers process meteorological model outputs.
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