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machina-sports/sports-skills

Open-Source-Agentenfähigkeiten für Live-Sportdaten und Vorhersagemärkte. Fußball, Formel 1, Kalshi, Polymarket. Keine API-Schlüssel. SKILL.md-Format.

Was ist sports-skills?

Diese Sammlung von Open-Source-Agentenfähigkeiten ermöglicht es KI-Agenten (wie Claude Code, Cursor, Codex) auf Live-Sportdaten und Vorhersagemärkte zuzugreifen, ohne dass API-Schlüssel erforderlich sind. Sie unterstützt Fußball, Formel 1 und die Märkte Kalshi und Polymarket. Jede Fähigkeit wird im SKILL.md-Format definiert, das strukturierte Anweisungen und Ausgabeformate bereitstellt. Entwickler können diese Fähigkeiten in ihre Agenten-Workflows integrieren, um Echtzeitinformationen zu erhalten und Vorhersagen zu treffen.

Funktioniert mit✓Claude Code~Codex CLI~Cursor
npx skills add machina-sports/sports-skills

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Dokumentation

Was macht sports-skills?

Open-Source-Agentenfähigkeiten für Live-Sportdaten und Vorhersagemärkte. Fußball, Formel 1, Kalshi, Polymarket. Keine API-Schlüssel. SKILL.md-Format.

Individual skills in this repo

This repo contains 1 individual skill — each has its own dedicated page.

machina-sports/football-data

Football (soccer) data across 13 leagues — standings, schedules, match stats, xG, transfers, player profiles. Zero config, no API keys. Covers Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, Champions League, World Cup, Championship, Eredivisie, Primeira Liga, Serie A Brazil, European Championship. Use when: user asks about football/soccer standings, fixtures, match stats, xG, lineups, player values, transfers, injury news, league tables, daily fixtures, or player profiles. Don't use when: user asks about American football/NFL (use nfl-data), college football (use cfb-data), NBA (use nba-data), WNBA (use wnba-data), college basketball (use cbb-data), NHL (use nhl-data), MLB (use mlb-data), tennis (use tennis-data), golf (use golf-data), cricket (use cricket-data), Formula 1 (use fastf1), or betting odds (use polymarket or kalshi). Don't use for live/real-time scores — data updates post-match. Don't use get_season_leaders or get_missing_players for non-Premier League leagues (they return empty). Do

Verwandte Skills

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

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affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

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affaan-m/everything-claude-code

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

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forrestchang/andrej-karpathy-skills

Agent skill repository discovered by 10x-chat research.

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langgenius/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

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