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.

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.md7.6 KBtext/markdown
references/article-templates.md6.5 KBtext/markdown
references/sport-mapping.md5 KBtext/markdown
scripts/validate_params.sh283 Btext/plain
SKILL.md12.6 KBtext/markdown

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。

檢舉或申請下架

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

待分類2423 天前更新

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。

包含腳本
Data & Analytics2423 天前更新

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。

Data & Analytics2423 天前更新

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。

包含腳本
Business & Finance2423 天前更新

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。

Research & Analysis2423 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.

待分類2423 天前更新