Xctf Data
machina-sports/sports-skills/skills/xctf-data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
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cricket-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi.
僅公開檔案列表。將技能安裝到工作區後即可檢視檔案內容。
| 路徑 | 大小 | 類型 |
|---|---|---|
| references/api-reference.md | 7.2 KB | text/markdown |
| scripts/validate_params.sh | 1.2 KB | text/plain |
| SKILL.md | 8 KB | text/markdown |
來源與署名
來源：machina-sports/sports-skills位於skills/xctf-data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
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
machina-sports
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。
Metadata
machina-sports
透過 TheSportsDB 查詢球隊隊徽、球員照片、球場與俱樂部資訊，並支援球隊與球員名稱搜尋。
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.
更多Data & Analytics技能
Audit Xls
anthropics
稽核試算表公式與財務模型，找出錯誤、硬編碼和完整性問題並產出報告。
Comps Analysis
anthropics
以 Excel 試算表形式建立機構級可比公司分析，涵蓋營運指標、估值倍數與統計基準。
Audit Xls
anthropics
稽核試算表公式與財務模型，找出錯誤、硬編碼和完整性問題並產出報告。
Audit Xls
anthropics
稽核試算表公式與財務模型，找出錯誤、硬編碼和完整性問題並產出報告。
Comps Analysis
anthropics
以 Excel 試算表形式建立機構級可比公司分析，涵蓋營運指標、估值倍數與統計基準。
Audit Xls
anthropics
稽核試算表公式與財務模型，找出錯誤、硬編碼和完整性問題並產出報告。