Claude Skills · Data & Analytics

Nutmeg Learn

withqwerty/nutmeg

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.

★ 32 Synced 1 day ago View SKILL.md

At a glance

Data & Analytics Plugin install Actively maintained

This skill is for Data & Analytics.

Install /plugin marketplace add withqwerty/nutmeg /plugin install nutmeg-learn
Can use Other

Setup, runtime and requirements describe withqwerty/nutmeg, the repo this skill ships in.

Also in withqwerty/nutmeg

View the repo
Nutmeg Data & Analytics

Football data analytics — the single entry point. Use whenever the user mentions football data, xG, expected goals, match analysis, player s...

Fetch, scrape, or download football data from any source. Also handles API key setup and credential management. Use when the user wants to g...

Explore, interpret, and draw conclusions from football data. Use when the user wants to analyse match events, compare teams or players, unde...

Nutmeg Brainstorm Data & Analytics

Brainstorm football data visualisations and chart designs. Use when the user wants ideas for how to visualise football data, needs inspirati...

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

Fix broken data scrapers and pipelines. Use when data acquisition fails, a scraper breaks, an API returns errors, or data format has changed...

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

Choose how and where to store football data. Use when the user asks about database choices, file formats, cloud storage, data pipelines, or...

Transform, filter, reshape, join, and manipulate football data. Use when the user needs to clean data, merge datasets, convert between forma...

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