store
Store
Help the user choose storage formats, locations, and publishing methods for their football data.
First: check profile
Read .nutmeg.user.md. If it doesn't exist, tell the user to run /nutmeg:init first.
Storage format decision tree
Small projects (< 100MB, single user)
| Format | Best for | Tools |
|---|---|---|
| JSON | Raw event data, API responses | Any language |
| CSV | Tabular stats, easy to share | Spreadsheets, pandas, R |
| Parquet | Columnar analytics, fast queries | polars, pandas, DuckDB, Arrow |
| SQLite | Relational queries, multiple tables | Any language, DB browser tools |
More from withqwerty/nutmeg
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Explore, interpret, and draw conclusions from football data. Use when the user wants to analyse match events, compare teams or players, understand tactical patterns, build visualisations, or needs guidance on what questions to ask of their data. Adapts to the user's experience level.
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Learn about football analytics concepts and explore provider documentation. Use when the user asks what a metric means (xG, PPDA, expected threat, xT), wants learning resources, papers, or courses, is new to football analytics, or wants a learning path. Also use when the user asks about data provider documentation — qualifier IDs, coordinate systems, event types, API schemas, field mappings, identity surfaces, provider ID schemes — or wants to compare providers, look something up in the docs, or find out what data a provider offers.
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Football data analytics — the single entry point. Use whenever the user mentions football data, xG, expected goals, match analysis, player stats, scouting, match reports, shot maps, passing networks, Premier League data, Champions League stats, scraping FBref/Understat/Transfermarkt, building football charts, or anything football analytics related. Routes to specialised sub-skills automatically. Also handles first-time setup and profile management.
43nutmeg-compute
Calculate derived football metrics and models. Use when the user wants to compute xG, xGOT, PPDA, passing networks, expected threat, possession value, pressing intensity, or any derived football statistic from raw data.
43nutmeg-heal
Fix broken data scrapers and pipelines. Use when data acquisition fails, a scraper breaks, an API returns errors, or data format has changed. Also handles submitting upstream issues or PRs when the problem is in a dependency like soccerdata or kloppy.
42nutmeg-wrangle
Transform, filter, reshape, join, and manipulate football data. Use when the user needs to clean data, merge datasets, convert between formats, handle missing values, work with large datasets, or do any data manipulation task on football data.
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