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nutmeg

A Claude Code plugin that makes Claude an expert at football data analytics.

Who it's for: Anyone who works with football data — analysts, developers, journalists, researchers, hobbyists. If you've ever spent an hour figuring out which Opta qualifier is xG, or why your StatsBomb coordinates are upside down, or how to normalise a heatmap properly, this is for you.

What it does: Gives Claude deep, verified knowledge of football data providers, libraries, and conventions. Claude looks up the actual docs instead of guessing from training data, writes code adapted to your stack, and catches football-specific mistakes in your work.

Why not just ask Claude directly? Claude knows football data exists but its knowledge is frozen and often wrong on specifics — qualifier IDs, API endpoints, coordinate systems, method signatures. These change. nutmeg connects Claude to a live, searchable index of real provider documentation so it gets the details right.

Capabilities

nutmeg gives Claude deep knowledge of football data so it can help you:

  • Acquire data from Opta, StatsBomb, Wyscout, SportMonks, FBref, Understat, and more
  • Wrangle event streams, transform coordinates, join datasets, handle large files
  • Compute derived metrics like xG, PPDA, passing networks, expected threat
  • Store data in the right format and publish results via Streamlit, Observable, or static sites
  • Analyse matches, players, and teams with statistical rigour
  • Learn football analytics concepts, from xG basics to academic research

It adapts to your experience level, preferred programming language, and available data sources.

Install

Full install (Claude Code plugin)

Includes skills, agents, and the football docs MCP server.

# From Claude Code
/plugin install nutmeg@withqwerty/nutmeg

Skills only (any AI coding agent)

Works with Claude Code, Cursor, Codex, Windsurf, and 40+ other agents via the Agent Skills standard.

npx skills add withqwerty/nutmeg

This installs the 10 skills but not the agents or MCP docs server. For the full experience (searchable provider docs, pipeline builder agent, data reviewer agent), use the plugin install above.

Setup

Run /nutmeg-init to create your profile. This tells nutmeg about your experience, tools, and data access so all skills adapt accordingly.

Skills

Skill What it does
/nutmeg-init Set up your profile
/nutmeg-credentials Manage API keys and data access
/nutmeg-providers Search provider documentation (Opta qualifiers, StatsBomb event types, etc.)
/nutmeg-acquire Fetch, scrape, or download football data
/nutmeg-heal Fix broken scrapers, submit upstream issues
/nutmeg-wrangle Transform, filter, reshape data
/nutmeg-compute Calculate derived metrics (xG, PPDA, passing networks)
/nutmeg-store Choose storage format and publishing method
/nutmeg-analyse Explore and interpret football data
/nutmeg-learn Glossary, papers, courses, community resources
/nutmeg-brainstorm Research-backed visualisation ideation and chart design
/nutmeg-review Review data code and charts for correctness, conventions, and edge cases

Football Docs MCP Server

nutmeg includes a searchable index of football data provider documentation. Think Context7 for football data.

# Build the docs index
cd mcp/football-docs-server
npm install
npm run ingest

# The MCP server starts automatically when nutmeg is loaded

Adding provider docs

Drop markdown files in docs/providers/{provider}/ and re-run npm run ingest:

docs/providers/
  opta/
    event-types.md
    qualifiers.md
    coordinate-system.md
    api-access.md
  statsbomb/
    event-types.md
    data-model.md
    ...

Providers covered

Provider Event data Stats xG Tracking Free?
StatsBomb Yes Yes Yes No Open data (select comps)
Opta/Perform Yes Yes Yes (xGOT too) Yes No (unofficial feed exists)
Wyscout Yes Yes No No No
SportMonks Partial Yes No No Free tier
FBref No Yes Yes (via StatsBomb) No Yes (scraping)
Understat No Partial Yes No Yes (scraping)
ClubElo No No No No Yes (API)

License

MIT

About

Football data analytics toolkit for Claude Code. Covers Opta, StatsBomb, Wyscout, SportMonks, and free sources.

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