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Cfb Data

Organization
machina-sports
cfb-data

College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for FBS, plus official FCS scoreboards, NCAA game detail with drive context, and the schools index. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, play-by-play, injuries, betting futures, team/player statistics, CFB news, or FCS games. Don't use when: user asks about NFL (use nfl-data), college basketball (use cbb-data), or non-sports topics.

Overview

Publishermachina-sports
Repositorysports-skills
Skill namecfb-data
Stars
255
Forks
38
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by machina-sports on GitHub. Read the source before you install it.

Installation

Install the Cfb Data AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/machina-sports/sports-skills.git /tmp/sports-skills
mkdir -p .claude/skills
cp -r /tmp/sports-skills/skills/cfb-data .claude/skills/cfb-data
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cfb Data in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cfb Data on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cfb Data is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

College Football Data (CFB)

Before writing queries, consult references/api-reference.md for endpoints, conference IDs, team IDs, and data shapes.

Setup

Before first use, check if the CLI is available:

bash
which sports-skills || pip install sports-skills

If pip install fails with a Python version error, the package requires Python 3.10+. Find a compatible Python:

bash
python3 --version  # check version
# If < 3.10, try: python3.12 -m pip install sports-skills
# On macOS with Homebrew: /opt/homebrew/bin/python3.12 -m pip install sports-skills

No API keys required.

Quick Start

Prefer the CLI — it avoids Python import path issues:

bash
sports-skills cfb get_scoreboard
sports-skills cfb get_rankings
sports-skills cfb get_standings --group=8

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

  • Season year is derived from the system prompt's currentDate — never hardcoded.
  • For standings, the group parameter is set to the correct conference ID (see references/api-reference.md).
  • If only a team name is provided, use get_teams to resolve the team ID.

Choosing the Season

Derive the current year from the system prompt's date (e.g., currentDate: 2026-02-28 → current year is 2026).

  • If the user specifies a season, use it as-is.
  • If the user says "current", "this season", or doesn't specify: The CFB season runs August–January. If the current month is February–July (offseason), use season = current_year - 1. From August onward, use the current year.

Important: College vs. Pro Differences

  • Standings are per-conference — use the group parameter to filter
  • Rankings replace leaders — college uses AP Top 25, Coaches Poll, and CFP rankings
  • Ranked teams have a rank field (null = unranked) on scoreboard competitors
  • Week-based schedule — like NFL, college football uses week numbers

Commands

CommandDescription
get_scoreboardLive/recent college football scores
get_standingsStandings by conference (use group parameter)
get_teamsAll 750+ FBS college football teams
get_team_rosterFull roster for a team
get_team_scheduleSchedule for a specific team
get_game_summaryDetailed box score and scoring plays
get_rankingsAP Top 25, Coaches Poll, CFP rankings
get_newsCollege football news
get_play_by_playFull play-by-play for a game
get_win_probabilityWin probability timeline for a completed game
get_scheduleSeason schedule by week
get_injuriesInjury reports across all teams
get_futuresFutures/odds markets (National Championship, Heisman, etc.)
get_team_statsTeam statistical profile
get_player_statsPlayer statistical profile
get_ncaa_scoreboardOfficial NCAA scoreboard — FBS and FCS
get_ncaa_scheduleWhich weeks have games (official index)
get_ncaa_gameOfficial NCAA game information
get_ncaa_boxscoreOfficial NCAA box score
get_ncaa_play_by_playOfficial play-by-play with drive context
get_ncaa_scoring_summaryOfficial scoring summary
get_ncaa_schoolsNCAA schools index (all divisions)

See references/api-reference.md for full parameter lists and return shapes.

Official NCAA Backend

The get_ncaa_* commands read the NCAA's own endpoints (sdataprod.ncaa.com + ncaa.com) — coverage ESPN does not carry:

  • FCS scoreboards via division="fcs" — ESPN's college coverage is FBS-centric.
  • Official game detail: get_ncaa_game, get_ncaa_boxscore, get_ncaa_play_by_play (with drive context), get_ncaa_scoring_summary.
  • The schools index (~1,200 schools, all divisions): get_ncaa_schools.

NCAA game ids (e.g. 6306261, from get_ncaa_scoreboard) and ESPN event ids share nothing — join on game date plus team names. NCAA reissues game ids, so take them from a fresh get_ncaa_scoreboard call rather than storing them. Football divisions are fbs/fcs (not d1-d3). get_ncaa_schedule numbers the weeks get_ncaa_scoreboard takes (16+ are the postseason, FCS playoffs included). Scoring-summary field goals carry distance_yards, taken from the play-by-play. All get_ncaa_* commands except get_ncaa_schools ride NCAA's GraphQL persisted queries, whose hashes rotate when ncaa.com redeploys; when that happens they say so explicitly, and the ESPN-backed get_scoreboard / get_schedule cover the same FBS games.

Examples

Example 1: Current rankings User says: "What are the college football rankings?" Actions:

  1. Call get_rankings() Result: AP Top 25, Coaches Poll, and CFP rankings with rank, previous rank, record

Example 2: Conference standings User says: "Show me SEC football standings" Actions:

  1. Derive season year from currentDate
  2. Call get_standings(group=8, season=<derived_year>) (group 8 = SEC) Result: SEC standings with W-L records per team

Example 3: Team schedule User says: "What's Alabama's schedule this season?" Actions:

  1. Derive season year from currentDate
  2. Call get_team_schedule(team_id="333", season=<derived_year>) Result: Alabama's full season schedule with opponent, date, score (if played)

Example 4: Weekly scores User says: "Show me this week's college football scores" Actions:

  1. Call get_scoreboard() Result: All live and recent CFB games with scores and ranked status

Example 5: Heisman favorites User says: "Who's the Heisman favorite?" Actions:

  1. Call get_futures(limit=10) Result: Top Heisman Trophy candidates with odds values

Example 6: Team statistics User says: "Show me Alabama's team stats" Actions:

  1. Derive season year from currentDate
  2. Call get_team_stats(team_id="333", season_year=<derived_year>) Result: Alabama's season stats by category with value, rank, and per-game averages

Commands that DO NOT exist — never call these

  • get_odds / get_betting_odds — not available. For prediction market odds, use the polymarket or kalshi skill.
  • search_teams — does not exist. Use get_teams instead.
  • get_box_score — does not exist. Use get_game_summary instead.
  • get_player_ratings — does not exist. Use get_player_stats instead.
  • get_bcs_rankings / get_playoff_rankings — does not exist. Use get_rankings instead.

If a command is not listed in the Commands table above, it does not exist.

Error Handling

When a command fails, do not surface raw errors to the user. Instead:

  1. If no events found for a date, check if it's in the off-season (CFB runs August–January)
  2. If standings are empty without a group filter, try with a specific conference group
  3. Only report failure with a clean message after exhausting alternatives

Troubleshooting

Error: sports-skills command not found Cause: Package not installed Solution: Run pip install sports-skills

Error: No games found Cause: CFB is seasonal (August–January); off-season scoreboard will be empty Solution: Use get_rankings or get_news year-round; use get_schedule to find when the season starts

Error: Too many teams returned Cause: get_teams returns 750+ FBS teams Solution: Help users narrow down by suggesting specific team IDs from references/api-reference.md, or use ESPN URLs to look up IDs

Error: Rankings empty in off-season Cause: Rankings are only published during the season and early off-season Solution: Use get_news in the offseason; rankings resume in August

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cfb Data AI skill do?

College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for FBS, plus official FCS scoreboards, NCAA game detail with drive context, and the schools index. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, play-by-play, injuries, betting futures, team/player statistics, CFB news, or FCS games. Don't use when: user asks about NFL (use nfl-data), col...

Why use Cfb Data on TypingMind?

Because you install it once and use it with any model. Cfb Data is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cfb Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cfb Data?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cfb Data?

As many as you like. As long as a model supports skills, you can use Cfb Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cfb Data AI skill free?

Yes. It is published on GitHub by machina-sports under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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