Polymarket Tennis
livetennisapi/livetennisapi-mcp
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier.
PGA Tour, LPGA, and DP World Tour golf data via ESPN public endpoints — tournament leaderboards, scorecards, season schedules, golfer profiles/overviews, and news.
$ npx skills add machina-sports/sports-skills --skill golf-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install machina-sports/sports-skills golf-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/golf-data .claude/skills/golf-data && rm -rf skills-srcUse ~/.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/
Install the "golf-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/golf-data into .claude/skills/golf-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "golf-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 install https://github.com/machina-sports/sports-skills/tree/main/skills/golf-dataType 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.
$ npx skills add machina-sports/sports-skills --skill golf-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install machina-sports/sports-skills golf-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/golf-data .agents/skills/golf-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "golf-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/golf-data into .agents/skills/golf-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "golf-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.
$ npx skills add machina-sports/sports-skills --skill golf-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install machina-sports/sports-skills golf-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/golf-data .cursor/skills/golf-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "golf-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/golf-data into .cursor/skills/golf-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "golf-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 https://github.com/machina-sports/sports-skills.git --path skills/golf-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add machina-sports/sports-skills --skill golf-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install machina-sports/sports-skills golf-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/golf-data .gemini/skills/golf-data && rm -rf skills-srcUse ~/.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/
Install the "golf-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/golf-data into .gemini/skills/golf-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "golf-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.
$ gh skill install machina-sports/sports-skills golf-dataInstalls 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).
$ npx skills add machina-sports/sports-skills --skill golf-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/golf-data .github/skills/golf-data && rm -rf skills-srcUse ~/.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/
Install the "golf-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/golf-data into .github/skills/golf-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "golf-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.
$ npx skills add machina-sports/sports-skills --skill golf-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install machina-sports/sports-skills golf-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/golf-data .opencode/skills/golf-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "golf-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/golf-data into .opencode/skills/golf-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "golf-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.
golf-dataPGA Tour, LPGA, and DP World Tour golf data via ESPN public endpoints — tournament leaderboards, scorecards, season schedules, golfer profiles/overviews, and news.
Golf Data is an agent skill from machina-sports/sports-skills. PGA Tour, LPGA, and DP World Tour golf data via ESPN public endpoints — tournament leaderboards, scorecards, season schedules, golfer profiles/overviews, and news. Zero config, no API keys. Use when: user asks about golf scores, tournament leaderboards, scorecards, PGA Tour schedule, golfer profiles, golfer season stats, LPGA results, or golf news. Don't use when: user asks about other sports — use football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB)…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api-reference.md`, `references/majors.md` and `references/player-ids.md`).
It sits in Data & Analytics. It works with Kalshi, Polymarket and 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0420a7c. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
pippython3From the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Golf Data loads about 1.7k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 177 tokens; SKILL.md has 723 words of instructions outside code blocks.
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.
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.
The full file from machina-sports/sports-skills at commit 0420a7c, republished under its MIT licence (© machina-sports). 723 words, ~1,655 tokens.
.claude/skills/golf-data/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Before writing queries, consult references/api-reference.md for endpoints, player IDs, and score formats.
Before first use, check if the CLI is available:
which sports-skills || pip install sports-skillsIf 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-skillsNo API keys required.
Prefer the CLI — it avoids Python import path issues:
sports-skills golf get_leaderboard --tour=pga
sports-skills golf get_schedule --tour=pga --year=2026
sports-skills golf get_news --tour=pgaCRITICAL: Before calling any data endpoint, verify:
tour parameter is specified (pga, lpga, or eur) — there is no default tour.get_leaderboard results or ESPN golf URLs — never guessed.tour ParameterMost commands require --tour=pga, --tour=lpga, or --tour=eur:
If the user doesn't specify, default to pga. If they say "women's golf" or "LPGA", use lpga. If they mention the European Tour or DP World Tour, use eur.
| Command | Description |
|---|---|
get_leaderboard | Tournament leaderboard with all golfer scores (current, or event_id / date) |
get_schedule | Full season tournament schedule |
get_player_info | Individual golfer profile |
get_player_overview | Detailed overview with season stats, rankings, recent results |
get_scorecard | Hole-by-hole scorecard for a golfer (current, or event_id / date) |
get_news | Golf news articles |
See references/api-reference.md for full parameter lists and return shapes.
Example 1: Current leaderboard User says: "What's the PGA leaderboard right now?" Actions:
get_leaderboard(tour="pga")
Result: Current tournament leaderboard sorted by position with each golfer's score and round-by-round breakdownExample 2: Season schedule User says: "Show me the LPGA schedule for 2026" Actions:
get_schedule(tour="lpga", year=2026)
Result: Full LPGA tournament calendar with names, dates, and venuesExample 3: Golfer profile User says: "Tell me about Scottie Scheffler" Actions:
get_player_info(player_id="9478", tour="pga")
Result: Scheffler's profile with age, nationality, height/weight, turned pro yearExample 4: Upcoming major User says: "When is the Masters this year?" Actions:
currentDateget_schedule(tour="pga", year=<derived_year>)Example 5: Player scorecard User says: "Show me Scottie Scheffler's scorecard" Actions:
get_scorecard(tour="pga", player_id="9478")
Result: Hole-by-hole scores for each completed round with strokes and score-to-parExample 6: Player season form User says: "How has Rory McIlroy been playing this season?" Actions:
get_player_overview(player_id="3470", tour="pga")
Result: Season stats (scoring average, earnings, wins, top-10s), world ranking, and recent resultsget_tournament_resultsget_leaderboard (with event_id from get_schedule for a past tournament).get_rankingsget_player_overview for individual rankings.get_oddsget_betting_oddssearch_playerget_leaderboard to find player IDs from the current field.If a command is not listed in the Commands table above, it does not exist.
When a command fails, do not surface raw errors to the user. Instead:
get_leaderboard to find current player IDsError: sports-skills command not found
Cause: Package not installed
Solution: Run pip install sports-skills
Error: No active tournament on leaderboard
Cause: Golf tournaments run Thursday–Sunday; between events the leaderboard may show no active tournament
Solution: Call get_schedule(tour="pga") to find the next upcoming event
Error: Limited round data — scores are empty
Cause: Before a tournament starts, round scores will be empty. During the tournament, only completed rounds have scores.
Solution: Check get_leaderboard for tournament status and current round; wait for rounds to complete
Error: Player not found by ID
Cause: Player ID is incorrect or the player is not in the current tournament field
Solution: Get player IDs from get_leaderboard results, or look up ESPN golf URLs (espn.com/golf/player/_/id/<id>/player-name)
© machina-sports, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in skills/golf-data of machina-sports/sports-skills.
Open the folder on GitHubat commit 0420a7c
Golf 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Golf Data this skillmachina-sports/sports-skills | 245 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Prediction MarketsBlockRunAI/blockrun-mcp | 391 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Predexon Prediction Market DataBlockRunAI/ClawRouter | 6.6k | — | ~4.7k | Automated safety check: Pass | MIT | |
| Surf Crypto Data APIBlockRunAI/blockrun-mcp | 391 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause |
livetennisapi/livetennisapi-mcp
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier.
BlockRunAI/blockrun-mcp
A skill your agent uses when the user asks about event probabilities, prediction market odds, what people are betting on, Polymarket/Kalshi prices, sports markets — or about the things you CANNOT…
BlockRunAI/ClawRouter
Reads structured prediction market data for Polymarket, Kalshi and other venues through a local BlockRun gateway: markets, search, leaderboards, wallet analytics and odds.
BlockRunAI/blockrun-mcp
Routes crypto market, on-chain, wallet and prediction-market lookups to the Surf data API through a local ClawRouter, paid per call.
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
machina-sports/sports-skills
College Basketball (CBB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, rankings, futures…
machina-sports/sports-skills
College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures…
machina-sports/sports-skills
Cricket data via ESPN public endpoints and Cricsheet open data — live-ish series scoreboards, standings, match summaries and news (ESPN), plus historical ball-by-ball, player stats, and player…
machina-sports/sports-skills
Formula 1 data — race schedules, results, lap timing, driver and team info.
machina-sports/sports-skills
Kalshi prediction markets — events, series, markets, trades, and candlestick data.
machina-sports/sports-skills
MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level…
Works with
Categories
PGA Tour, LPGA, and DP World Tour golf data via ESPN public endpoints — tournament leaderboards, scorecards, season schedules, golfer profiles/overviews, and news. Golf Data is an agent skill from machina-sports/sports-skills. PGA Tour, LPGA, and DP World Tour golf data via ESPN public endpoints — tournament leaderboards, scorecards, season schedules, golfer profiles/overviews, and news.
Golf Data fits situations like: : user asks about golf scores; tournament leaderboards; PGA Tour schedule; golfer profiles.
Run `npx skills add machina-sports/sports-skills --skill golf-data -a claude-code`. Or copy the skill folder (skills/golf-data in machina-sports/sports-skills) into .claude/skills/golf-data in your project. Claude Code loads it when a task matches its description.
Run `npx skills add machina-sports/sports-skills --skill golf-data -a codex`. Or copy the skill folder (skills/golf-data in machina-sports/sports-skills) into .agents/skills/golf-data in your project. Codex loads it when a task matches its description.
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 golf-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/golf-data, .gemini/skills/golf-data, .github/skills/golf-data and .opencode/skills/golf-data in your project.
Going by SKILL.md and its folder, Golf 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.
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.
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.
Golf Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.6k 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 1.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Golf Data: Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars), Prediction Markets (BlockRunAI/blockrun-mcp, 391 stars), Predexon Prediction Market Data (BlockRunAI/ClawRouter, 6.6k stars) and Surf Crypto Data API (BlockRunAI/blockrun-mcp, 391 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
machina-sports (a GitHub organization) maintains it in machina-sports/sports-skills, which has 245 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 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.