Instructions file CodexOpenCode
AGENTS.md instructions for withqwerty/football-docs, covering agents.md — football-docs, what this repo does, layout, commands and maintainer workflows.
Instructions file CodexOpenCode
AGENTS.md instructions for withqwerty/football-docs, covering agents.md — football-docs, what this repo does, layout, commands and maintainer workflows.
Plugin Claude Code
Plugin marketplace listing 1 plugin: nutmeg.
Plugin Claude Code
Football data analytics toolkit for Claude Code. Covers Opta, StatsBomb, Wyscout, SportMonks, FPL, and free sources. Acquire, wrangle, compute, analyse, visualise, and learn. Includes a searchable MCP docs server, 11 skills, and 3 agents.
MCP server Claude CodeCodexCursor +2
Searchable football data provider documentation for AI coding agents. Like Context7 for football data. Runs locally from the football-docs npm package.
Instructions file
Claude Code instructions for withqwerty/nutmeg, covering nutmeg, architecture: progressive disclosure, structure, key conventions and related projects.
Agent
Reviews football chart and visualisation code for correctness, conventions, and rendering issues. Optionally inspects the rendered output in a browser.
Agent
Reviews football data code for common mistakes. Use after the user writes data processing, analysis, or visualisation code that works with football event data, stats, or metrics.
Agent
Designs end-to-end football data pipelines. Use when the user describes a goal ('I want to analyse pressing in the Premier League') and needs help planning the full workflow from data acquisition to output.
Skill Claude CodeCodex
Fetch, scrape, or download football data from any source. Also handles API key setup and credential management. Use when the user wants to get data from StatsBomb, Opta, FBref, Understat, SportMonks, Wyscout, Kaggle, or any football data source. Also use when they ask about API keys, authentication, setting up access…
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
Brainstorm football data visualisations and chart designs. Use when the user wants ideas for how to visualise football data, needs inspiration for chart types, wants to explore design approaches for match reports, player profiles, team dashboards, or any football analytics graphic. Searches the web for popular…
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
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 …
Skill Claude CodeCodex
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…
Skill Claude CodeCodex
Review football data code and visualisations for correctness. Use after building a chart, data pipeline, or analysis. Dispatches specialised reviewers for data correctness, chart conventions, visual inspection, and interactive edge cases.
Skill Claude CodeCodex
Choose how and where to store football data. Use when the user asks about database choices, file formats, cloud storage, data pipelines, or how to organise their football data project. Also covers publishing and sharing outputs (Streamlit, Observable, GitHub Pages).
Skill Claude CodeCodex
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.