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Found 20 Skills
Real-time sports & events data for AI agents via Shipp. Use when the user wants live scores, schedules, or game events for NBA, NFL, NCAA Football, MLB, or Soccer — especially to power prediction market trading strategies on Polymarket or Kalshi using a MoonPay wallet.
케이리그 경기 결과와 현재 순위를 날짜/팀 기준으로 조회한다. 공식 JSON 엔드포인트와 kleague-results npm 패키지를 사용한다.
Fetch KBO game schedules and results for a specific date with the kbo-game npm package. Use when the user asks for today's KBO games, yesterday's scores, or a date-specific scoreboard.
Riot 공식 LoL Esports 데이터와 Oracle's Elixir 스타일 historical 데이터로 LCK 경기 결과, 현재 순위, live turning point, 밴픽 matchup/synergy, patch meta, 팀 파워 레이팅을 조회한다.
Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.
API Sports integration. Manage Sports. Use when the user wants to interact with API Sports data.
Use this skill whenever the user asks about live sports scores, standings, team stats, game summaries (with box score, leaders, scoring plays, odds, and win probability), NFL / NBA / MLB / NHL / NCAA / MLS / EPL / WNBA games, team schedules, polls, or rankings. ESPN sports CLI with live scores across 10 leagues, offline search, head-to-head comparisons, and rich per-game summary payloads. No API key required. Triggers on natural phrasings like 'what's the score of the Lakers game', 'Patriots schedule this week', 'NFL standings', 'box score for tonight's Mavs game', 'Chiefs vs Eagles head to head', 'who's on top of the AP poll'.
NBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, statistical leaders, and news. Zero config, no API keys. Use when: user asks about NBA scores, standings, team rosters, schedules, game stats, box scores, or NBA news. Don't use when: user asks about WNBA (use wnba-data), basketball in other leagues, college basketball, or other sports. Don't use for live play-by-play — data updates post-play.
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.
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.
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 anything football analytics related. Routes to specialised sub-skills automatically. Also handles first-time setup and profile management.
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 — qualifier IDs, coordinate systems, event types, API schemas, field mappings — or wants to compare providers, look something up in the docs, or find out what data a provider offers.