Sports Reporter
machina-sports/sports-skills/skills/sports-reporter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
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/sports-reporter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。
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。
Metadata
machina-sports
通过 TheSportsDB 查询球队队徽、球员照片、球场与俱乐部信息，并支持球队和球员名称搜索。
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Writing & Content技能
Doc Coauthoring
anthropics
引导用户通过三阶段工作流协作撰写文档、提案、技术规格与决策文档。
Writing Guidelines
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依据获取的写作指南审查文档与文稿，并报告风格问题。
Job Post Builder
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根据职位需求生成招聘材料包：职位发布、面试指南与评分表、录用通知书模板。
Write Spec
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把功能想法或问题陈述转化为结构化 PRD，包含目标、用户故事、需求与指标。
Draft Content
anthropics
撰写博客文章、社交媒体帖文、邮件通讯、落地页、新闻稿和案例研究等营销内容。
Brand Voice Enforcement
anthropics
将现有品牌语调指南应用于销售和营销内容，并说明所采用的品牌选择。