Wnba Data

This pulls WNBA data straight from ESPN's public endpoints with zero configuration. You get scores, standings, rosters, schedules, play-by-play, win probability charts, injury reports, transactions, futures odds, and statistical leaders. No API keys, no auth dance. The skill handles season logic automatically (May through October is current season, otherwise it rolls back a year), and it ships with a CLI that sidesteps Python import issues. Worth noting: there's no get_odds command despite what you might expect, and the docs explicitly tell you to resolve team names to IDs via get_teams before hitting team-specific endpoints. Clean for building WNBA dashboards or chat interfaces during the season.

skills.sh installs: 699
GitHub stars: 268
last updated: Aug 21, 2026

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Install

$ npx -y skills add machina-sports/sports-skills --skill wnba-data --agent claude-code

Installs into .claude/skills of the current project.

Files

WNBA 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

Prefer the CLI — it avoids Python import path issues:

sports-skills wnba get_scoreboard
sports-skills wnba get_standings --season=2025
sports-skills wnba get_teams

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

Season year is derived from the system prompt's currentDate — never hardcoded.
If only a team name is provided, call get_teams to resolve the team ID before using team-specific commands.