withqwerty

Fix broken football data scrapers and pipelines: failed requests, API errors, changed formats. Also drafts upstream issues or PRs ...

Clean, filter, reshape, join and convert football data, including missing values and large datasets. Use for any data manipulation...

Get football data: fetch, scrape or download from StatsBomb, Opta, FBref, Understat, SportMonks, Wyscout, Kaggle or any source, an...

Explore and interpret football data, and judge players or teams from stats: rankings, 'who is the best', 'is he a poor finisher', ...

Ideas for football data visualisations: chart types and designs for match reports, player profiles, dashboards and other graphics,...

Calculate derived football metrics and models. Use when the user wants to compute xG, xGOT, PPDA, passing networks, expected threa...

Explain football analytics concepts and provider documentation: what a metric means (xG, PPDA, xT), learning paths and resources, ...

Football data analytics entry point. Use for any task with football data: xG, match or player stats, scouting, shot maps, scraping...

Run football analysis as a research project that shows its work: a question, a plan with reasons, a claim ledger tying every numbe...

Review football data code and visualisations for correctness. Use after building a chart, data pipeline, or analysis. Dispatches s...

withqwerty/nutmeg

This skill should be used when the user asks to "sharpen", "sharpen this tweet", "sharpen my post", "review my tweet", "pressure t...

withqwerty/ship

withqwerty/ship

withqwerty/ship

withqwerty/ship

withqwerty/ship