Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
machina-sports avatar

Wnba Data

  • 519 installs
  • 201 repo stars
  • Updated August 5, 2026
  • machina-sports/sports-skills

wnba-data is a Claude agent skill that accesses and shapes WNBA box scores, standings, rosters, and play-by-play data for developers building betting analytics, media tools, or women's basketball fan experiences.

About

wnba-data is a sports-skills agent skill for fetching and structuring Women's National Basketball Association datasets inside developer applications. The skill covers box scores, league standings, team rosters, and play-by-play event feeds that power betting analytics dashboards, media widgets, or fan-facing stats experiences. Developers reach for wnba-data when a product needs current-season WNBA metrics without manually scraping league sites or maintaining fragile HTML parsers. The workflow normalizes game, player, and team records into consumable shapes for APIs, charts, or recommendation engines. Use it when building sports data features focused on the WNBA rather than generic multi-league aggregators.

  • WNBA schedule and standings feeds
  • Box score and play-by-play parsing
  • Roster and player stat joins
  • Season and playoff context handling
  • Structured exports for downstream apps

Wnba Data by the numbers

  • 519 all-time installs (skills.sh)
  • +7 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #442 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/machina-sports/sports-skills --skill wnba-data

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs519
repo stars201
Last updatedAugust 5, 2026
Repositorymachina-sports/sports-skills

How do you integrate WNBA stats into an API?

Access and shape WNBA box scores, standings, rosters, and play-by-play data for betting insights, media tools, or women's basketball fan experiences.

Who is it for?

Developers building WNBA-focused sports APIs, betting analytics, or fan apps that need structured box scores, standings, rosters, and play-by-play feeds.

Skip if: General sports products covering many leagues without WNBA-specific data requirements or teams avoiding licensed sports statistics integrations.

When should I use this skill?

An app needs WNBA box scores, standings, rosters, or play-by-play data shaped for APIs, analytics, or fan experiences.

What you get

Normalized WNBA box scores, standings tables, roster records, and play-by-play datasets ready for API or UI consumption.

  • Normalized WNBA datasets
  • API-ready stat records
  • Play-by-play event structures

Files

SKILL.mdMarkdownGitHub ↗

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.

Choosing the Season

Derive the current year from the system prompt's date (e.g., currentDate: 2026-02-18 → current year is 2026).

  • If the user specifies a season, use it as-is.
  • If the user says "current", "this season", or doesn't specify: The WNBA season runs May–October. If the current month is May–October, use season = current_year. If November–April (offseason), use season = current_year - 1.

Commands

CommandDescription
get_scoreboardLive/recent WNBA scores
get_standingsStandings by conference
get_teamsAll WNBA teams
get_team_rosterFull roster for a team
get_team_scheduleSchedule for a specific team
get_game_summaryDetailed box score and scoring plays
get_leadersWNBA statistical leaders
get_newsWNBA news articles
get_play_by_playFull play-by-play for a game
get_win_probabilityWin probability chart data
get_scheduleSchedule for a specific date or season
get_injuriesInjury reports across all teams
get_transactionsRecent transactions
get_futuresFutures/odds markets
get_team_statsTeam statistical profile
get_player_statsPlayer statistical profile

See references/api-reference.md for full parameter lists and return shapes.

Examples

Example 1: Today's scores User says: "What are today's WNBA scores?" Actions: 1. Call get_scoreboard() Result: All live and recent WNBA games with scores and status

Example 2: Standings User says: "Show me the WNBA standings" Actions: 1. Derive season year from currentDate 2. Call get_standings(season=<derived_year>) Result: Eastern and Western conference standings with W-L, PCT, GB

Example 3: Team roster User says: "Who's on the Indiana Fever roster?" Actions: 1. Call get_team_roster(team_id="5") Result: Full Indiana Fever roster with name, position, jersey number

Example 4: Statistical leaders User says: "Show me WNBA statistical leaders" Actions: 1. Derive season year from currentDate 2. Call get_leaders(season=<derived_year>) Result: Leaders ranked by stat category (points, rebounds, assists, etc.)

Example 5: Championship odds User says: "What are the WNBA championship odds?" Actions: 1. Call get_futures(limit=10) Result: Top WNBA championship contenders with odds values

Example 6: Player statistics User says: "Show me A'ja Wilson's stats" Actions: 1. Derive season year from currentDate 2. Call get_player_stats(player_id="3149391", season_year=<derived_year>) Result: Season stats by category with value, rank, and per-game averages

Commands that DO NOT exist — never call these

  • ~~get_odds~~ / ~~get_betting_odds~~ — not available. For prediction market odds, use the polymarket or kalshi skill.
  • ~~search_teams~~ — does not exist. Use get_teams instead.
  • ~~get_box_score~~ — does not exist. Use get_game_summary instead.
  • ~~get_player_ratings~~ — does not exist. Use get_player_stats instead.

If a command is not listed in the Commands table above, it does not exist.

Error Handling

When a command fails, do not surface raw errors to the user. Instead: 1. Catch silently and try alternatives 2. If team name given instead of ID, use get_teams to find the ID first 3. Only report failure with a clean message after exhausting alternatives

Troubleshooting

Error: sports-skills command not found Cause: Package not installed Solution: Run pip install sports-skills

Error: Team not found by ID Cause: Wrong or outdated ESPN team ID used Solution: Call get_teams to get the current list of all WNBA teams with their IDs

Error: No data returned for a future game Cause: ESPN only returns data for completed or in-progress games Solution: Use get_schedule to see upcoming game details; get_scoreboard only covers active/recent games

Error: Offseason (November–April) — scoreboard returns 0 events Cause: No games scheduled during the offseason Solution: Use get_standings(season=<prior_year>) or get_news instead

Related skills

FAQ

What WNBA datasets does wnba-data provide?

wnba-data provides access and shaping for WNBA box scores, league standings, team rosters, and play-by-play data so developers can power betting insights, media tools, or fan-facing basketball experiences.

When should developers use wnba-data?

Developers should use wnba-data when building applications that need structured Women's National Basketball Association statistics instead of maintaining custom scrapers for scores, rosters, and play-by-play events.

Data Science & MLanalyticspipelines

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.