Metadata
machina-sports/sports-skills/skills/metadata作者 machina-sports09eb7e8566f4MIT242 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫3 天前更新
Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biographical data across 100+ leagues. No API key required, zero config. Use when: user asks for a team logo, crest, badge, banner, jersey, kit, player photo or headshot, stadium info, club description, or wants to search for teams or players by name across sports. Good for enriching responses from other skills with images and visual identifiers. Don't use when: user asks for scores, standings, fixtures, stats, or odds — use the sport-specific skill instead: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1), volleyball-data (Dutch volleyball), xctf-data (NCAA XC/TF). Don't use for prediction markets — use polymarket or kalshi.
- 09eb7e8566f4目前提交 09eb7e8發布於 2026年10月8日
來源與署名
來源：machina-sports/sports-skills位於skills/metadata提交09eb7e8
授權條款： MIT
內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。
更多來自 machina-sports/sports-skills 的技能
World Cup
machina-sports
Premium FIFA World Cup 2026 market & match intelligence — a hosted, read-only layer that fuses official match truth (fixtures, standings, squads, injuries, player performance) with live prediction markets (Kalshi + Polymarket: prices, order books, price history, movers, cross-venue edges) and AI-grounded context (prematch briefs, move explanations, fan/social pulse). Every entity carries a canonical machina URN cross-walked across api-football, sportradar, opta, entain and ESPN, so a market resolves to a fixture resolves to two teams. This skill is prompt-only and premium: it routes the agent to the hosted World Cup Intelligence project (a per-project Machina MCP server) via `machina-cli`. It runs no code locally and ships no API keys. Use when: the user wants World Cup 2026 odds + match context together, asks "what moved and why", wants a grounded market brief or fan-sentiment read on a fixture, or needs one stable id that joins markets ↔ fixtures ↔ teams across providers. Don't use when: the user wants fr
Xctf Data
machina-sports
從 TFRRS 擷取 NCAA 越野賽與田徑運動員資料，並從 The Stride Report 取得新聞。
Sports Reporter
machina-sports
透過 sports-skills 命令列工具取得即時資料，產生原創體育新聞文章。
Volleyball Data
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透過 Nevobo API 取得荷蘭排球資料：積分榜、賽程、賽果、俱樂部、賽事與新聞。
Polymarket
machina-sports
以唯讀方式存取 Polymarket 運動預測市場：賠率、價格、委託簿、賽事與市場搜尋。
Markets
machina-sports
Markets orchestration — connects ESPN live schedules with Kalshi and Polymarket prediction markets. Unified dashboards, odds comparison, entity search, and bet evaluation across platforms. Use when: user wants to see prediction market odds alongside ESPN game schedules, compare odds across platforms, search for a team/player on Kalshi or Polymarket, check for arbitrage between ESPN odds and prediction markets, or evaluate a specific game's market value. Don't use when: user wants raw prediction market data without ESPN context — use polymarket or kalshi directly. For pure odds math (conversion, de-vigging, Kelly) — use betting. For live scores without market data — use the sport-specific skill.
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