Soccer data across 13 leagues with standings, schedules, match stats, xG, transfers, and player profiles — no API keys required.
Works with
Covers 13 leagues including Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, Champions League, World Cup, and others
Provides match-level data: lineups, team statistics, timelines (goals, cards, substitutions), and expected goals (xG) for top 5 leagues only
Includes player profiles, season leaders, transfer history via Transfermarkt, and injury/d
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfootball-dataExecute the skills CLI command in your project's root directory to begin installation:
Fetches football-data from machina-sports/sports-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate football-data. Access via /football-data in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
65
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
65
stars
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-skills
If pip install fails (package not found or Python version error), install from GitHub:
pip install git+https://github.com/machina-sports/sports-skills.git
The package requires Python 3.10+. If your default Python is older, use a specific version:
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.
Prefer the CLI — it avoids Python import path issues:
sports-skills football get_daily_schedule
sports-skills football get_season_standings --season_id=premier-league-2025
Python SDK (alternative):
from sports_skills import football
standings = football.get_season_standings(season_id="premier-league-2025")
schedule = football.get_daily_schedule()
CRITICAL: Before calling any data endpoint, verify:
get_current_season(competition_id="...") — never hardcoded.search_team(query="...") if only a name is provided.get_event_xg and get_event_players_statistics (with xG) are only called for top-5 leagues (EPL, La Liga, Bundesliga, Serie A, Ligue 1).get_season_leaders and get_missing_players are only called for Premier League seasons (season_id must start with premier-league-).Derive the current year from the system prompt's date (e.g., currentDate: 2026-02-16 → current year is 2026).
get_current_season(competition_id="...") to get the active season_id. Do NOT guess or hardcode the year.{league-slug}-{year} (e.g., "premier-league-2025" for the 2025-26 season). The year is the start year of the season, not the end year.get_current_season(competition_id="mls").| Command | Description |
|---|---|
get_current_season |
Detect current season for a competition |
get_competitions |
List available competitions with current season info |
get_competition_seasons |
Available seasons for a competition |
get_season_schedule |
Full season match schedule |
get_season_standings |
League table for a season |
get_season_leaders |
Top scorers/leaders (Premier League only) |
get_season_teams |
Teams in a season |
search_team |
Search for a team by name |
search_player |
Search for a player by name |
get_team_profile |
Basic team info (no squad/roster) |
get_daily_schedule |
All matches for a date across all leagues |
get_event_summary |
Match summary with scores |
get_event_lineups |
Match lineups |
get_event_statistics |
Match team statistics |
get_event_timeline |
Match timeline (goals, cards, subs) |
get_team_schedule |
Schedule for a specific team |
get_head_to_head |
UNAVAILABLE — returns empty |
get_event_xg |
xG data (top 5 leagues only) |
get_event_players_statistics |
Player-level match stats with optional xG |
get_missing_players |
Injured/doubtful players (Premier League only) |
get_season_transfers |
Transfer history via Transfermarkt |
get_player_season_stats |
Player season stats via ESPN |
get_player_profile |
Player profile (FPL and/or Transfermarkt) |
See references/api-reference.md for full parameter lists, return shapes, and data coverage table.
Example 1: Premier League table User says: "Show me the Premier League table" Actions:
get_current_season(competition_id="premier-league") to get the current season_idget_season_standings(season_id=<season_id from step 1>)
Result: Standings table with position, team, played, won, drawn, lost, GD, pointsExample 2: Match report User says: "How did Arsenal vs Liverpool go?" Actions:
get_daily_schedule() or get_team_schedule(team_id="359") to find the event_idget_event_summary(event_id="...") for the scoreget_event_statistics(event_id="...") for possession, shots, etc.get_event_xg(event_id="...") for xG comparison (EPL — top 5 only)
Result: Match report with scores, key stats, and xGExample 3: Team deep dive User says: "Deep dive on Chelsea's recent form" Actions:
search_team(query="Chelsea") → team_id=363, competition=premier-leagueget_team_schedule(team_id="363", competition_id="premier-league") → find recent closed eventsget_event_xg, get_event_statistics, get_event_players_statisticsget_missing_players(season_id=<season_id>) → filter Chelsea's injured/doubtful players
Result: xG trend across matches, key player stats, and injury reportExample 4: Player market value User says: "What's Saka's market value?" Actions:
get_player_profile(tm_player_id="433177") for Transfermarkt datafpl_id for FPL stats
Result: Market value, value history, and transfer historyExample 5: Non-PL club User says: "Tell me about Corinthians" Actions:
search_team(query="Corinthians") → team_id=874, competition=serie-a-brazilget_team_schedule(team_id="874", competition_id="serie-a-brazil") for fixturesget_event_timeline(event_id="...") for goals, cards, subs
Result: Fixtures, timeline events (note: xG, FPL stats, and season leaders NOT available for Brazilian Serie A)get_standingsget_season_standings (requires season_id).get_live_scoresget_daily_schedule() for today's matches.get_team_squadget_team_rosterget_team_profile does NOT return players. Use get_season_leaders for PL player IDs, then get_player_profile.get_transfersget_season_transfers (requires season_id + tm_player_ids).get_match_resultsget_matchget_event_summary with an event_id.get_player_statsget_event_players_statistics for match-level stats, or get_player_profile for career data.get_scoresget_resultsget_event_summary with an event_id.get_fixturesget_daily_schedule for today's matches or get_season_schedule for a full season.get_league_tableget_season_standings with a season_id.If a command is not in the Commands table above, it does not exist. Do not try commands not listed.
When a command fails (wrong event_id, missing data, network error, etc.), do not surface the raw error to the user. Instead:
get_daily_schedule() or get_team_schedule() to discover the correct ID.Error: sports-skills command not found
Cause: Package not installed
Solution: Run pip install sports-skills. If not on PyPI, install from GitHub: pip install git+https://github.com/machina-sports/sports-skills.git
Error: ModuleNotFoundError: No module named 'sports_skills'
Cause: Package not installed or path issue
Solution: Install the package. Prefer the CLI over Python imports to avoid path issues
Error: get_season_leaders or get_missing_players returns empty for a non-PL league
Cause: These commands only work for Premier League; they silently return empty for other leagues
Solution: Check the Data Coverage table in references/api-reference.md. For other leagues, use get_event_players_statistics for player data
Error: get_team_profile returns no players
Cause: This command does not return squad rosters — this is expected behavior
Solution: For PL teams, use get_season_leaders to find player FPL IDs, then get_player_profile(fpl_id="...")
Error: Wrong season_id format
Cause: Season ID must follow the {league-slug}-{year} format
Solution: Use get_current_season(competition_id="...") to discover the correct format. Example: "premier-league-2025", not "2025-2026" or "EPL-2025"
Error: No xG data for a recent match
Cause: Understat data may lag 24-48 hours after a match ends
Solution: If get_event_xg returns empty for a recent top-5 match, retry later. Only available for EPL, La Liga, Bundesliga, Serie A, Ligue 1
Error: Team or event ID unknown
Cause: ID was guessed instead of looked up
Solution: Use search_team(query="team name") to find team IDs, or get_daily_schedule / get_season_schedule to find event IDs. Never guess IDs.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Useful defaults in football-data — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added football-data from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: football-data is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: football-data is focused, and the summary matches what you get after install.
football-data reduced setup friction for our internal harness; good balance of opinion and flexibility.
football-data is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: football-data is focused, and the summary matches what you get after install.
I recommend football-data for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added football-data from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in football-data — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 45