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Mlb Data

Organization
machina-sports
mlb-data

MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level velocity/spin/exit-velocity, career splits by stat group, league leaders, and schedules to 1901. Zero config, no API keys. Use when: user asks about MLB scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, depth charts, team/player statistics, MLB news, pitch speeds/spin/exit velocity, career stats, league leaders, or historical MLB seasons. Don't use when: user asks about minor league baseball, college baseball, or international baseball. For other sports use: nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), football-data (soccer), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news.

Overview

Publishermachina-sports
Repositorysports-skills
Skill namemlb-data
Stars
255
Forks
38
Bundled files
3
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.

  • 3 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 Mlb 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/mlb-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/mlb-data .claude/skills/mlb-data
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mlb 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 Mlb 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 Mlb 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.

MLB Data

Before writing queries, consult references/api-reference.md for endpoints, ID conventions, 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 mlb get_scoreboard
sports-skills mlb get_standings --season=2025
sports-skills mlb get_teams

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

  • Season year is derived from the system prompt's currentDate — never hardcoded.
  • If only a team name is provided, call get_teams to resolve the team ID before using team-specific commands.

Choosing the Season

Derive the active season from the system prompt's date — not just the calendar year.

  • If the user specifies a season, use it as-is.
  • If the user says "current", "this season", or doesn't specify: The MLB season runs late March/April through October. If the current month is January–March, the last completed season was the prior calendar year. From April onward, use the current calendar year.

Commands

CommandDescription
get_scoreboardLive/recent MLB scores
get_standingsStandings by league and division
get_teamsAll 30 MLB teams
get_team_rosterFull roster for a team
get_team_scheduleSchedule for a specific team
get_game_summaryDetailed box score and scoring plays
get_leadersMLB statistical leaders
get_newsMLB news articles
get_play_by_playFull play-by-play for a game
get_win_probabilityWin probability chart data
get_scheduleGames on a specific date (no season filter; see get_team_schedule)
get_injuriesInjury reports across all teams
get_transactionsRecent transactions
get_futuresFutures/odds markets
get_depth_chartDepth chart for a team
get_team_statsTeam statistical profile
get_player_statsPlayer statistical profile
find_mlb_playerSearch MLB's player registry by name
get_mlbstats_scheduleGames via the MLB Stats API — history to 1901, carries gamePk ids
get_mlbstats_player_statsSeason/career/year-by-year splits by stat group via MLB Stats API; stat_type=game_log gives one split per game
get_mlbstats_play_by_playPitch-level PBP — velocity, spin, plate coords, exit velo, launch angle
get_mlbstats_boxscoreFull box score with per-player batting/pitching via MLB Stats API
get_mlbstats_standingsStandings by division via MLB Stats API
get_mlbstats_leadersLeague leaders for any stat category via MLB Stats API

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

Shaping Play-by-Play Results

get_mlbstats_play_by_play and get_mlbstats_player_stats accept sort_by, descending, limit and fields. fields is the quickest way to drop the per-pitch lists when you only need the at-bat outcomes:

bash
sports-skills mlb get_mlbstats_play_by_play --game_pk=775296 --fields=event,rbi
  • sort_by: one column to sort by. Numbers (and numeric strings) sort numerically; missing values always go last.
  • descending: true (default) or false; only used with sort_by.
  • limit: positive integer, applied after sorting.
  • fields: comma-separated keep-list. inning, half, batter, pitcher (play-by-play) or season, team, game_pk, game_date (player stats; stat keys such as homeRuns are addressable directly) and the sort_by column are always kept.
  • An unknown sort_by/fields column returns an error listing the valid columns.
  • With any of these set, the response adds total_rows (matching rows before limit) and returned_rows. With none set, output is unchanged. They are applied after the fetch, so they never change the upstream request or its replay entry.

Using ESPN and the MLB Stats API Together

The get_mlbstats_* commands read statsapi.mlb.com — MLB's own open API. It carries the analytics layer ESPN does not: per-pitch velocity/spin/location, exit velocity and launch angle on balls in play, career splits by stat group, and schedules back to 1901. The two sources use unrelated id systems:

  • Game ids. MLB uses gamePk (e.g. 775296); ESPN uses event ids (e.g. 401570367). No shared column — join on the game date plus teams.
  • Team abbreviations. Two teams differ: ESPN ARI/CHW vs MLB AZ/CWS. Every get_mlbstats_* team filter accepts either spelling, and rows carry both (team_abbreviation, team_abbreviation_espn).
  • Player ids. MLB person ids (660271) and ESPN athlete ids are unrelated. Resolve names with find_mlb_player; ASCII spellings match accented names ("acuna" finds "Ronald Acuña Jr.").
  • Postponed games repeat. A postponed or suspended game is listed twice under one game_pk in get_mlbstats_schedule: the original date has rescheduled: true (and rescheduled_to), the make-up has rescheduled_from. Drop rescheduled rows when counting games.
  • Schedule times. start_time is UTC; venue_timezone is the ballpark's IANA zone (e.g. America/New_York, null if MLB omits it) and local_date is MLB's official (local) date.
  • Postseason game_type filters by date. game_type="worldseries" with a date outside the World Series returns no games plus a warnings entry; drop game_type, or pass team + season with it to list the round's dates.
  • Leaders come grouped. A category like homeRuns exists for hitting, catching, and pitching (home runs allowed); rows are labelled with stat_group — pass stat_group= to get just one.

Responses include MLB's copyright notice, passed through from the API.

Examples

Example 1: Today's scores User says: "What are today's MLB scores?" Actions:

  1. Call get_scoreboard() Result: All live and recent MLB games with scores by inning and status

Example 2: Division standings User says: "Show me the AL East standings" Actions:

  1. Derive season year from currentDate
  2. Call get_standings(season=<derived_year>)
  3. Filter results for American League East Result: AL East standings with W-L, PCT, GB, run differential

Example 3: Team roster User says: "Who's on the Yankees roster?" Actions:

  1. Call get_team_roster(team_id="10") Result: Full Yankees roster with name, position, bats/throws, height, weight

Example 4: Game box score User says: "Show me the full box score for last night's Dodgers game" Actions:

  1. Call get_scoreboard(date="<yesterday>") to find the event_id
  2. Call get_game_summary(event_id=<id>) for full box score Result: Complete box score with batting/pitching stats per player

Example 5: Injury report User says: "Who's on the IL for the Yankees?" Actions:

  1. Call get_injuries()
  2. Filter results for New York Yankees (team_id=10) Result: Yankees IL list with player name, position, IL type, and injury detail

Example 6: Player statistics User says: "Show me Shohei Ohtani's stats" Actions:

  1. Derive season year from currentDate
  2. Call get_player_stats(player_id="39832", season_year=<derived_year>) Result: Season stats by category (batting, pitching) with value, rank, and per-game averages

Example 7: World Series odds User says: "Who's favored to win the World Series?" Actions:

  1. Call get_futures(limit=10) Result: Top World Series contenders with odds values

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.

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. Catch silently and try alternatives
  2. If team name given instead of ID, use get_teams to find the ID first
  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: Team not found by ID Cause: Wrong or outdated ESPN team ID used Solution: Call get_teams to get the current list of all 30 MLB teams with their IDs

Error: No data returned for a future game Cause: ESPN only returns data for completed or in-progress games Solution: Use get_schedule to see upcoming game details; get_scoreboard only covers active/recent games

Error: Offseason — scoreboard returns 0 events Cause: No games scheduled during the offseason (November–March) Solution: Use get_standings or get_news instead; MLB offseason transactions are available via get_transactions

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 Mlb Data AI skill do?

MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level velocity/spin/exit-velocity, career splits by stat group, league leaders, and schedules to 1901. Zero config, no API keys. Use when: user asks about MLB scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, depth charts, team/player statistics, MLB news, pitch speeds/spin/exit velocity, career stats, league leaders, or historical MLB seasons. Don't use...

Why use Mlb Data on TypingMind?

Because you install it once and use it with any model. Mlb 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 Mlb Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/machina-sports/sports-skills/tree/main/skills/mlb-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 Mlb 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 Mlb Data?

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

Is the Mlb 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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