Agent skill

Wnba Data

by machina-sports in machina-sports/sports-skills

WNBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, team/player stats, leaders, and news.

MITAuto-check passedData & Analytics

Install Wnba Data

skills CLI

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

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills wnba-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wnba-data .claude/skills/wnba-data && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "wnba-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/wnba-data into .claude/skills/wnba-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wnba-data", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/machina-sports/sports-skills/tree/main/skills/wnba-data

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add machina-sports/sports-skills --skill wnba-data -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills wnba-data --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/wnba-data .agents/skills/wnba-data && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "wnba-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/wnba-data into .agents/skills/wnba-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wnba-data", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add machina-sports/sports-skills --skill wnba-data -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills wnba-data --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/wnba-data .cursor/skills/wnba-data && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "wnba-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/wnba-data into .cursor/skills/wnba-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wnba-data", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/machina-sports/sports-skills.git --path skills/wnba-data

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add machina-sports/sports-skills --skill wnba-data -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills wnba-data --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/wnba-data .gemini/skills/wnba-data && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "wnba-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/wnba-data into .gemini/skills/wnba-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wnba-data", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install machina-sports/sports-skills wnba-data

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add machina-sports/sports-skills --skill wnba-data -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/wnba-data .github/skills/wnba-data && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "wnba-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/wnba-data into .github/skills/wnba-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wnba-data", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add machina-sports/sports-skills --skill wnba-data -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills wnba-data --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/wnba-data .opencode/skills/wnba-data && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "wnba-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/wnba-data into .opencode/skills/wnba-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wnba-data", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: wnba-data
GitHub stars: 243
Token cost: ~1.4k tokens
SKILL.md length: 617 words
Files: 4 (incl. scripts, references)
Skills in repo: 23
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

WNBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, team/player stats, leaders, and news.

Works in 2 steps: Derive season year from currentDate → Call get_standings(season=)
: user asks about WNBA scores
SKILL.md covers Setup, Quick Start, CRITICAL: Before Any Query and Choosing the Season, plus 5 more sections
Runs Shell scripts from its folder; calls pip and python3

What it does

Wnba Data is an agent skill from machina-sports/sports-skills. WNBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about WNBA scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, team/player statistics, or WNBA news. Don't use when: user asks about NBA (use nba-data), college basketball (use cbb-data), or other sports.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md`, `references/team-ids.md` and `scripts/validate_params.sh`).

It sits in Data & Analytics, covering Statistics. It works with Python. The repository describes itself as: Open-source agent skills for live sports data and prediction markets. Football, F1, Kalshi, Polymarket. Zero API keys. SKILL.md format. The licence is MIT.

When your agent uses it

: user asks about WNBA scores
Betting futures
Team/player statistics
: user asks about NBA (use nba-data)

Example prompts

“/wnba-data”

Requirements

Python 3
A Bash shell

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

Derive season year from currentDate
Call get_standings(season=)

What it can do on your machine

Read from SKILL.md and the folder at commit 09eb7e8. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
- pip
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wnba Data loads about 1.4k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 617 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~132
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from machina-sports/sports-skills at commit 09eb7e8, republished under its MIT licence (© machina-sports). 617 words, ~1,432 tokens.

Download SKILL.mdSave it as .claude/skills/wnba-data/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: wnba-data
description: WNBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about WNBA scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, team/player statistics, or WNBA news. Don't use when: user asks about NBA (use nba-data), college basketball (use cbb-data), or other sports.
license: MIT
metadata.author: machina-sports
metadata.version: 0.1.0

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:

bash

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:

bash

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:

bash

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

Command	Description
`get_scoreboard`	Live/recent WNBA scores
`get_standings`	Standings by conference
`get_teams`	All WNBA teams
`get_team_roster`	Full roster for a team
`get_team_schedule`	Schedule for a specific team
`get_game_summary`	Detailed box score and scoring plays
`get_leaders`	WNBA statistical leaders
`get_news`	WNBA news articles
`get_play_by_play`	Full play-by-play for a game
`get_win_probability`	Win probability chart data
`get_schedule`	Schedule for a specific date or season
`get_injuries`	Injury reports across all teams
`get_transactions`	Recent transactions
`get_futures`	Futures/odds markets
`get_team_stats`	Team statistical profile
`get_player_stats`	Player 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:

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:

Derive season year from currentDate
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:

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:

Derive season year from currentDate
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:

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:

Derive season year from currentDate
Call get_player_stats(player_id="3149391", season_year=<derived_year>) Result: Season stats by category with value, rank, and per-game averages

Show full SKILL.md (200 more words)Show less

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:

Catch silently and try alternatives
If team name given instead of ID, use get_teams to find the ID first
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

Files

SKILL.md and 3 other files (scripts, references) in skills/wnba-data of machina-sports/sports-skills.

SKILL.md
references/api-reference.md
references/team-ids.md
scripts/validate_params.sh

Open the folder on GitHubat commit 09eb7e8

Compare with similar skills

Wnba Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wnba Data compared with similar skills
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MatlabzLanqing/codex-claude-academic-skills	4.7k	8 repos	~2.3k	Automated safety check: Notes	GPL-3.0	5 mo ago
Meridian MMM Model Buildinggoogle/meridian	1.6k	—	~2.5k	Automated safety check: Pass	Apache-2.0	yesterday
Statistical Data Analysislingzhi227/agent-research-skills	390	—	~886	Automated safety check: Pass	None	7 mo ago

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Questions about Wnba Data

What does Wnba Data do?

WNBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, team/player stats, leaders, and news. Wnba Data is an agent skill from machina-sports/sports-skills. WNBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, team/player stats, leaders, and news.

When should I use Wnba Data?

Wnba Data fits situations like: : user asks about WNBA scores; betting futures; team/player statistics; : user asks about NBA (use nba-data).

How do I install Wnba Data in Claude Code?

Run `npx skills add machina-sports/sports-skills --skill wnba-data -a claude-code`. Or copy the skill folder (skills/wnba-data in machina-sports/sports-skills) into .claude/skills/wnba-data in your project. Claude Code loads it when a task matches its description.

How do I install Wnba Data in Codex?

Run `npx skills add machina-sports/sports-skills --skill wnba-data -a codex`. Or copy the skill folder (skills/wnba-data in machina-sports/sports-skills) into .agents/skills/wnba-data in your project. Codex loads it when a task matches its description.

Can I use Wnba Data in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add machina-sports/sports-skills --skill wnba-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wnba-data, .gemini/skills/wnba-data, .github/skills/wnba-data and .opencode/skills/wnba-data in your project.

What does Wnba Data need to run?

Going by SKILL.md and its folder, Wnba Data needs a shell for the scripts in its folder and the command-line tools its instructions call (pip and python3). Our summary lists: Python 3; A Bash shell.

Does Wnba Data access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Wnba Data safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Wnba Data use?

Wnba Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wnba Data use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Wnba Data?

Skills that share tags, products or a category with Wnba Data: Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars), Rota Bench Regression Analysis (oracle/graalpython, 1.7k stars), Matlab (zLanqing/codex-claude-academic-skills, 4.7k stars) and Meridian MMM Model Building (google/meridian, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wnba Data?

machina-sports (a GitHub organization) maintains it in machina-sports/sports-skills, which has 243 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 5, 2026.

Source: machina-sports/sports-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Wnba Data

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

WNBA Data

Setup

Quick Start

CRITICAL: Before Any Query

Choosing the Season

Commands

Examples

Commands that DO NOT exist — never call these

Error Handling

Troubleshooting

Files

Compare with similar skills

Similar skills

More from machina-sports/sports-skills

Related

Questions about Wnba Data