Metadata
machina-sports/sports-skills/skills/metadata作者 machina-sports09eb7e8566f4MIT242 个星标收录于 2026年10月8日更新于 2026年10月8日仓库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当前提交 09eb7e8发布于 2026年10月8日
来源与署名
来源：machina-sports/sports-skills位于skills/metadata提交09eb7e8
许可证： MIT
内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。
更多来自 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
从 TFRRS 获取 NCAA 越野跑和田径运动员数据，并从 The Stride Report 获取新闻。
Sports Reporter
machina-sports
通过 sports-skills 命令行工具获取实时数据，生成原创体育新闻文章。
Volleyball Data
machina-sports
通过 Nevobo API 获取荷兰排球数据：积分榜、赛程、赛果、俱乐部、赛事和新闻。
Polymarket
machina-sports
只读访问 Polymarket 体育预测市场：赔率、价格、订单簿、赛事与市场搜索。
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.
更多Research & Analysis技能
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Equity Research
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根据分析师一致预期、公司基本面、历史价格与宏观数据，生成结构化的股票研究快照。
Sector Overview
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