analyse
Analyse
Help the user explore and interpret football data. Adapt depth and approach to their experience level from .nutmeg.user.md.
First: check profile
Read .nutmeg.user.md. If it doesn't exist, tell the user to run /nutmeg:init first.
Adapt to experience level
Beginners
Guide them step by step. Start with simple questions:
- "Which team scores the most goals?" (count goals, sort)
- "Who takes the most shots?" (filter shots, group by player)
- "Where do goals come from?" (plot shot locations)
Avoid jargon. Explain xG before using it. Show them what the data looks like before analysing it.
More from withqwerty/nutmeg
nutmeg-analyse
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.
52nutmeg-learn
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.
44nutmeg
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.
42