Statsmodels
zLanqing/codex-claude-academic-skills
Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.
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…
$ npx skills add machina-sports/sports-skills --skill mlb-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install machina-sports/sports-skills mlb-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mlb-data .claude/skills/mlb-data && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mlb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/mlb-data into .claude/skills/mlb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mlb-data", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/machina-sports/sports-skills/tree/main/skills/mlb-dataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add machina-sports/sports-skills --skill mlb-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install machina-sports/sports-skills mlb-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mlb-data .agents/skills/mlb-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mlb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/mlb-data into .agents/skills/mlb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mlb-data", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add machina-sports/sports-skills --skill mlb-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install machina-sports/sports-skills mlb-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mlb-data .cursor/skills/mlb-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mlb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/mlb-data into .cursor/skills/mlb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mlb-data", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/machina-sports/sports-skills.git --path skills/mlb-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add machina-sports/sports-skills --skill mlb-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install machina-sports/sports-skills mlb-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mlb-data .gemini/skills/mlb-data && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mlb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/mlb-data into .gemini/skills/mlb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mlb-data", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install machina-sports/sports-skills mlb-dataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add machina-sports/sports-skills --skill mlb-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mlb-data .github/skills/mlb-data && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mlb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/mlb-data into .github/skills/mlb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mlb-data", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add machina-sports/sports-skills --skill mlb-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install machina-sports/sports-skills mlb-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mlb-data .opencode/skills/mlb-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mlb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/mlb-data into .opencode/skills/mlb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mlb-data", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mlb-dataMLB 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…
Mlb Data is an agent skill from machina-sports/sports-skills. 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…
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md`, `references/team-ids.md` and `scripts/validate_params.sh`).
It sits in Data & Analytics, covering Statistics. It works with Kalshi, Polymarket and Python. The repository describes itself as: Open-source agent skills for live sports data and prediction markets. Football, F1, Kalshi, Polymarket. Zero API keys. SKILL.md format. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0420a7c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
pippython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mlb Data loads about 2.6k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 254 tokens; SKILL.md has 1,179 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from machina-sports/sports-skills at commit 0420a7c, republished under its MIT licence (© machina-sports). 1,179 words, ~2,602 tokens.
.claude/skills/mlb-data/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Before writing queries, consult references/api-reference.md for endpoints, ID conventions, and data shapes.
Before first use, check if the CLI is available:
which sports-skills || pip install sports-skillsIf pip install fails with a Python version error, the package requires Python 3.10+. Find a compatible Python:
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-skillsNo API keys required.
Prefer the CLI — it avoids Python import path issues:
sports-skills mlb get_scoreboard
sports-skills mlb get_standings --season=2025
sports-skills mlb get_teamsCRITICAL: Before calling any data endpoint, verify:
currentDate — never hardcoded.get_teams to resolve the team ID before using team-specific commands.Derive the active season from the system prompt's date — not just the calendar year.
| Command | Description |
|---|---|
get_scoreboard | Live/recent MLB scores |
get_standings | Standings by league and division |
get_teams | All 30 MLB teams |
get_team_roster | Full roster for a team |
get_team_schedule | Schedule for a specific team |
get_game_summary | Detailed box score and scoring plays |
get_leaders | MLB statistical leaders |
get_news | MLB news articles |
get_play_by_play | Full play-by-play for a game |
get_win_probability | Win probability chart data |
get_schedule | Games on a specific date (no season filter; see get_team_schedule) |
get_injuries | Injury reports across all teams |
get_transactions | Recent transactions |
get_futures | Futures/odds markets |
get_depth_chart | Depth chart for a team |
get_team_stats | Team statistical profile |
get_player_stats | Player statistical profile |
find_mlb_player | Search MLB's player registry by name |
get_mlbstats_schedule | Games via the MLB Stats API — history to 1901, carries gamePk ids |
get_mlbstats_player_stats | Season/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_play | Pitch-level PBP — velocity, spin, plate coords, exit velo, launch angle |
get_mlbstats_boxscore | Full box score with per-player batting/pitching via MLB Stats API |
get_mlbstats_standings | Standings by division via MLB Stats API |
get_mlbstats_leaders | League leaders for any stat category via MLB Stats API |
See references/api-reference.md for full parameter lists and return shapes.
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:
sports-skills mlb get_mlbstats_play_by_play --game_pk=775296 --fields=event,rbisort_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.sort_by/fields column returns an error listing the valid columns.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.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:
gamePk (e.g. 775296); ESPN uses event ids
(e.g. 401570367). No shared column — join on the game date plus teams.ARI/CHW vs MLB AZ/CWS.
Every get_mlbstats_* team filter accepts either spelling, and rows carry
both (team_abbreviation, team_abbreviation_espn).660271) and ESPN athlete ids are unrelated.
Resolve names with find_mlb_player; ASCII spellings match accented names
("acuna" finds "Ronald Acuña Jr.").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.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.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.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.
Example 1: Today's scores User says: "What are today's MLB scores?" Actions:
get_scoreboard()
Result: All live and recent MLB games with scores by inning and statusExample 2: Division standings User says: "Show me the AL East standings" Actions:
currentDateget_standings(season=<derived_year>)Example 3: Team roster User says: "Who's on the Yankees roster?" Actions:
get_team_roster(team_id="10")
Result: Full Yankees roster with name, position, bats/throws, height, weightExample 4: Game box score User says: "Show me the full box score for last night's Dodgers game" Actions:
get_scoreboard(date="<yesterday>") to find the event_idget_game_summary(event_id=<id>) for full box score
Result: Complete box score with batting/pitching stats per playerExample 5: Injury report User says: "Who's on the IL for the Yankees?" Actions:
get_injuries()Example 6: Player statistics User says: "Show me Shohei Ohtani's stats" Actions:
currentDateget_player_stats(player_id="39832", season_year=<derived_year>)
Result: Season stats by category (batting, pitching) with value, rank, and per-game averagesExample 7: World Series odds User says: "Who's favored to win the World Series?" Actions:
get_futures(limit=10)
Result: Top World Series contenders with odds valuesget_oddsget_betting_oddssearch_teamsget_teams instead.get_box_scoreget_game_summary instead.get_player_ratingsget_player_stats instead.If a command is not listed in the Commands table above, it does not exist.
When a command fails, do not surface raw errors to the user. Instead:
get_teams to find the ID firstError: 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
© machina-sports, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/mlb-data of machina-sports/sports-skills.
Open the folder on GitHubat commit 0420a7c
Mlb Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mlb Data this skillmachina-sports/sports-skills | 245 | — | ~2.6k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Rota Bench Regression Analysisoracle/graalpython | 1.7k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| MatlabzLanqing/codex-claude-academic-skills | 4.7k | 8 repos | ~2.3k | Automated safety check: Notes | GPL-3.0 | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Meridian MMM Model Buildinggoogle/meridian | 1.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 |
zLanqing/codex-claude-academic-skills
Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.
oracle/graalpython
Analyze recent GraalPy benchmark regressions on master as part of the weekly rota.
zLanqing/codex-claude-academic-skills
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.
livetennisapi/livetennisapi-mcp
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier.
google/meridian
Takes a user through building a Meridian marketing mix model, from loading CSV data and mapping columns to running EDA, fitting and saving the model.
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
machina-sports/sports-skills
College Basketball (CBB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, rankings, futures…
machina-sports/sports-skills
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…
machina-sports/sports-skills
Cricket data via ESPN public endpoints and Cricsheet open data — live-ish series scoreboards, standings, match summaries and news (ESPN), plus historical ball-by-ball, player stats, and player…
machina-sports/sports-skills
Formula 1 data — race schedules, results, lap timing, driver and team info.
machina-sports/sports-skills
PGA Tour, LPGA, and DP World Tour golf data via ESPN public endpoints — tournament leaderboards, scorecards, season schedules, golfer profiles/overviews, and news.
machina-sports/sports-skills
Kalshi prediction markets — events, series, markets, trades, and candlestick data.
Works with
Categories
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…. Mlb Data is an agent skill from machina-sports/sports-skills. 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.
Mlb Data fits situations like: : user asks about MLB scores; team/player statistics; pitch speeds/spin/exit velocity; historical MLB seasons.
Run `npx skills add machina-sports/sports-skills --skill mlb-data -a claude-code`. Or copy the skill folder (skills/mlb-data in machina-sports/sports-skills) into .claude/skills/mlb-data in your project. Claude Code loads it when a task matches its description.
Run `npx skills add machina-sports/sports-skills --skill mlb-data -a codex`. Or copy the skill folder (skills/mlb-data in machina-sports/sports-skills) into .agents/skills/mlb-data in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add machina-sports/sports-skills --skill mlb-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mlb-data, .gemini/skills/mlb-data, .github/skills/mlb-data and .opencode/skills/mlb-data in your project.
Going by SKILL.md and its folder, Mlb Data needs a shell for the scripts in its folder and the command-line tools its instructions call (pip and python3). Our summary lists: Python 3; A Bash shell.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Mlb Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Mlb Data: Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars), Rota Bench Regression Analysis (oracle/graalpython, 1.7k stars), Matlab (zLanqing/codex-claude-academic-skills, 4.7k stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
machina-sports (a GitHub organization) maintains it in machina-sports/sports-skills, which has 245 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 2026.
Source: machina-sports/sports-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.