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.

添加到 SourceWeft 工作区

  1. 在控制台中打开该技能,并将它添加到工作区。
  2. 为需要使用它的对话启用该技能。

该技能仅含说明:不附带任何可执行的脚本。

添加到 SourceWeft

系统会先要求你登录,然后直接带你回到这个技能。

让你的智能体来安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 或其他能运行命令的智能体中,也可以粘贴到 SourceWeft 对话里。智能体会阅读这个技能的安装说明,向你展示它的来源、许可证和脚本情况,在你同意后用 SourceWeft CLI 安装。

阅读 https://sourceweft.com/skills/gh-machina-sports-sports-skills-metadata/install.md 中的说明,按说明安装这个技能。安装前先告诉我它的来源、许可证以及是否附带脚本,等我确认。修改我电脑上的其他任何内容之前也要先问我。

查看智能体所遵循的安装说明

用命令行自行安装

适用于 Claude Code、Codex、Cursor 及其他本地智能体。SourceWeft CLI 会从源代码仓库中获取此处扫描过的那次提交,并根据扫描时记录的哈希值逐一校验每个文件。只要有任何不一致,就不会写入任何内容。

npx @sourceweft/cli skills install @machina-sports/metadata

添加 --agent claude-code、codex、cursor 或 universal 来选择安装给哪个智能体(默认为 Claude Code)。

上游安装器——未经 SourceWeft 校验

开源的 skills 安装器会获取同一个固定的提交,但不会根据 SourceWeft 记录的哈希值校验文件。

npx skills add https://github.com/machina-sports/sports-skills/tree/09eb7e8566f48c01d1ea7bf7b4ac62a477d37b19/skills/metadata

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。

举报或申请下架

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

待分类2423天前更新

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。

包含脚本
Data & Analytics2423天前更新

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。

包含脚本
Writing & Content2423天前更新

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。

Data & Analytics2423天前更新

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。

包含脚本
Business & Finance2423天前更新

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.

待分类2423天前更新