AI导哈

数据与研究

nba-data

machina-sports/…s-skills

NBA data via ESPN public endpoints, the NBA live CDN, and NBA Stats (stats.nba.com) — scores, standings, rosters, schedules, game summaries, play-by-play, injuries, futures, depth charts, leaders, and news, plus an analytics backend: advanced ratings, per-shot court coordinates, career splits, and history to 1946. Zero config, no API keys. Use when: user asks about NBA scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, depth charts, team/player statistics, NBA news, shot charts, advanced ratings/pace, career stats, or historical NBA seasons. Don't use when: user asks about WNBA (use wnba-data), college basketball (use cbb-data), or other sports.

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安装命令

npx skills add https://github.com/machina-sports/sports-skills --skill nba-data

SKILL.md

NBA Data

Before writing queries, consult references/api-reference.md for endpoints, ID conventions, and data shapes.

Setup

Before first use, check if the CLI is available:

which sports-skills || pip install sports-skills

If pip install fails with a Python version error, the package requires Python 3.10+. Find a compatible Python:

python3 --version  # check version
# If < 3.10, try: python3.12 -m pip install sports-skills
# On macOS with Homebrew: /opt/homebrew/bin/python3.12 -m pip install sports-skills

No API keys required.

Quick Start

相关 Skills

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