Sports Reporter
machina-sports/sports-skills/skills/sports-reporter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
Generates original sports journalism articles by consuming real-time data from the sports-skills skills. Covers game previews, live reports, post-game, team analysis, and player profiles for all supported sports. Use when: the user asks to write, generate, create, or draft an article, preview, report, analysis, summary, or journalistic coverage about games, teams, players, scores, statistics, or sports results. Do not use when: the user only wants raw data without journalistic text — use the sport-specific skill directly (nfl-data, nba-data, football-data, etc.). Do not use when: the user wants to search for news published by third parties — use sports-news.
- 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/sports-reporter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。
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Writing & Content技能
Doc Coauthoring
anthropics
引導使用者透過三階段工作流程協作撰寫文件、提案、技術規格與決策文件。
Writing Guidelines
vercel-labs
依據取得的寫作指南審查文件與文稿，並回報風格問題。
Job Post Builder
anthropics
依職缺需求產出招募文件包：職缺公告、面試指南與評分表，以及錄取通知書範本。
Write Spec
anthropics
把功能構想或問題陳述轉成結構化 PRD，包含目標、使用者故事、需求與指標。
Draft Content
anthropics
撰寫部落格文章、社群貼文、電子報、到達頁、新聞稿與案例研究等行銷內容。
Brand Voice Enforcement
anthropics
將現有品牌語調指南套用於銷售與行銷內容，並說明所採用的品牌選擇。