machina-sports
37 verified skills2,819 total stars
world-cup
Premium FIFA World Cup 2026 market & match intelligence — a hosted, read-only layer that fuses official match truth (fixtures, standings, squads, injuries, player performance) with live prediction markets (Kalshi + Polymarket: prices, order books, price history, movers, cross-venue edges) and AI-grounded context (prematch briefs, move explanations, fan/social pulse). Every entity carries a canonical machina URN cross-walked across api-football, sportradar, opta, entain and ESPN, so a market resolves to a fixture resolves to two teams. This skill is prompt-only and premium: it routes the agent to the hosted World Cup Intelligence project (a per-project Machina MCP server) via `machina-cli`. It runs no code locally and ships no API keys. Use when: the user wants World Cup 2026 odds + match context together, asks "what moved and why", wants a grounded market brief or fan-sentiment read on a fixture, or needs one stable id that joins markets ↔ fixtures ↔ teams across providers. Don't use when: the user wants free snapshot data from public APIs (use the `football-data`, `kalshi`, `polymarket`, or `markets` skills), or wants to place a bet/trade — this layer is read-only intelligence and never executes orders.
tools133
mlb-data
MLB data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, depth charts, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about MLB scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, depth charts, team/player statistics, or MLB news. Don't use when: user asks about minor league baseball, college baseball, or international baseball. For other sports use: nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), football-data (soccer), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news.
development127
nhl-data
NHL data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, injuries, transactions, futures, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about NHL scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, team/player statistics, or NHL news. Don't use when: user asks about other hockey leagues (AHL, KHL, college hockey). For other sports use: nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), mlb-data (MLB), football-data (soccer), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news.
development127
machina
Gateway to the Machina Sports premium platform — packaged agent workflows ("templates"), licensed real-time data, betting odds, and zero-latency live streams. This skill is prompt-only: it shells out to the separate `machina-cli` binary and routes the agent to a per-project Machina MCP server. Use when: the user asks for live odds, real-time telemetry, zero-latency match states, sub-second tick streams, packaged sports workflows (e.g., "Build a Bundesliga podcast bot", "Create a Polymarket arbitrage engine"), or when the open-source sports-skills are rate-limited or insufficient for the task. Don't use when: the user wants snapshot data from public APIs — use the sport-specific skill (nfl-data, polymarket, markets, …). Don't use to fetch data through raw HTTP — use the Machina MCP server, not a `requests` call.
tools127
cricket-data
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 registry (Cricsheet, ODC-BY 1.0). Zero config, no API keys. Use when: user asks about cricket scores, IPL/BBL/PSL/international series, points tables, match details, cricket news, ball-by-ball history, or player career stats. 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), tennis-data (tennis), golf-data (golf), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). For betting odds use polymarket or kalshi. For general news use sports-news. Don't use for ICC rankings — no free source exists (v1 limitation).
development127
volleyball-data
Dutch volleyball data (Eredivisie, Topdivisie, Superdivisie, and the full Dutch pyramid) via the Nevobo API. Standings, schedules, results, clubs, tournaments, and news. Zero config, no API keys. Use when: user asks about Dutch volleyball, Eredivisie volleyball, Nevobo, volleyball standings, volleyball match results, volleyball schedules, or Dutch volleyball clubs. 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), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), tennis-data (tennis), or fastf1 (F1). For betting odds use polymarket or kalshi. For general news use sports-news.
development127
xctf-data
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cricket-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi.
development127
sports-news
Sports news via RSS/Atom feeds and Google News. Fetch headlines, search by query, filter by date. Covers football news, transfer rumors, match reports, and any sport via Google News. Use when: user asks for recent news, headlines, transfer rumors, or articles about any sport. Good for "what's the latest on [team/player]" questions. Supports any Google News query and curated RSS feeds (BBC Sport, ESPN, The Athletic, Sky Sports). Don't use when: user asks for structured data like standings, scores, statistics, or xG — use the sport-specific skill instead: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for prediction market odds — use polymarket or kalshi. News results are text articles, not structured data.
development127
polymarket
Polymarket sports prediction markets — live odds, prices, order books, events, series, and market search. No auth required. Covers NFL, NBA, MLB, football (EPL, UCL, La Liga), tennis, cricket, MMA, esports. Supports moneyline, spreads, totals, and player props. Use when: user asks about sports betting odds, prediction markets, win probabilities, market sentiment, or "who is favored to win" questions. Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for historical match data. Don't use for news — use sports-news instead. Don't confuse with Kalshi — Polymarket focuses on crypto-native prediction markets with deeper sports coverage; Kalshi is a US-regulated exchange with different market structure.
development127
tennis-data
ATP and WTA tennis data via ESPN public endpoints — tournament scores, season calendars, player rankings, player profiles, and news. Zero config, no API keys. Use when: user asks about tennis scores, match results, tournament draws, ATP/WTA rankings, tennis player info, or tennis 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), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news. Don't use for live point-by-point data — scores update after each set/match.
development127
markets
Markets orchestration — connects ESPN live schedules with Kalshi and Polymarket prediction markets. Unified dashboards, odds comparison, entity search, and bet evaluation across platforms. Use when: user wants to see prediction market odds alongside ESPN game schedules, compare odds across platforms, search for a team/player on Kalshi or Polymarket, check for arbitrage between ESPN odds and prediction markets, or evaluate a specific game's market value. Don't use when: user wants raw prediction market data without ESPN context — use polymarket or kalshi directly. For pure odds math (conversion, de-vigging, Kelly) — use betting. For live scores without market data — use the sport-specific skill.
testing127
kalshi
Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers football (EPL, UCL, La Liga), basketball, baseball, tennis, NFL, hockey event contracts. Use when: user asks about Kalshi-specific markets, event contracts, CFTC-regulated prediction markets, or candlestick/OHLC price history on sports outcomes. Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for general "who will win" questions unless Kalshi is specifically mentioned — try polymarket first (broader sports coverage). Don't use for news — use sports-news instead.
development127
metadata
Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biographical data across 100+ leagues. No API key required, zero config. Use when: user asks for a team logo, crest, badge, banner, jersey, kit, player photo or headshot, stadium info, club description, or wants to search for teams or players by name across sports. Good for enriching responses from other skills with images and visual identifiers. Don't use when: user asks for scores, standings, fixtures, stats, or odds — use the sport-specific skill instead: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1), volleyball-data (Dutch volleyball), xctf-data (NCAA XC/TF). Don't use for prediction markets — use polymarket or kalshi.
development127
football-data
Football (soccer) data across 13 leagues — standings, schedules, match stats, xG, transfers, player profiles. Zero config, no API keys. Covers Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, Champions League, World Cup, Championship, Eredivisie, Primeira Liga, Serie A Brazil, European Championship. Use when: user asks about football/soccer standings, fixtures, match stats, xG, lineups, player values, transfers, injury news, league tables, daily fixtures, or player profiles. Don't use when: user asks about American football/NFL (use nfl-data), college football (use cfb-data), NBA (use nba-data), WNBA (use wnba-data), college basketball (use cbb-data), NHL (use nhl-data), MLB (use mlb-data), tennis (use tennis-data), golf (use golf-data), cricket (use cricket-data), Formula 1 (use fastf1), or betting odds (use polymarket or kalshi). Don't use for live/real-time scores — data updates post-match. Don't use get_season_leaders or get_missing_players for non-Premier League leagues (they return empty). Don't use get_event_xg for leagues outside the top 5 (EPL, La Liga, Bundesliga, Serie A, Ligue 1).
development127
golf-data
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), tennis-data (tennis), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news.
development127
fastf1
Formula 1 data — race schedules, results, lap timing, driver and team info. Powered by the FastF1 library. Covers F1 sessions, qualifying, practice, race results, sector times, tire strategy. Use when: user asks about F1 race results, qualifying, lap times, driver stats, team info, the F1 calendar, or Formula 1 data. Don't use when: user asks about other motorsports (MotoGP, NASCAR, IndyCar, WEC, Formula E). Don't use for F1 betting odds or predictions — use kalshi or polymarket instead. Don't use for F1 news articles — use sports-news instead.
development123
wnba-data
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.
development106
betting
Betting analysis — odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage detection, parlay analysis, and line movement. Pure computation, no API calls. Works with odds from any source: ESPN (American odds), Polymarket (decimal probabilities), Kalshi (integer probabilities). Use when: user asks about bet sizing, expected value, edge analysis, Kelly criterion, arbitrage, parlays, line movement, odds conversion, or comparing odds across sources. Also use when you have odds from ESPN and a prediction market price and want to evaluate whether a bet has positive expected value. Don't use when: user asks for live odds or market data — use polymarket, kalshi, or the sport-specific skill to fetch odds first, then use this skill to analyze them.
development106
cfb-data
College Football (CFB) data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for NCAA Division I FBS. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, play-by-play, injuries, betting futures, team/player statistics, or CFB news. Don't use when: user asks about NFL (use nfl-data), college basketball (use cbb-data), or non-sports topics.
development106
nba-data
NBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, depth charts, team/player stats, leaders, and news. 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, or NBA news. Don't use when: user asks about WNBA (use wnba-data), college basketball (use cbb-data), or other sports.
development106
nfl-data
NFL data via ESPN public endpoints plus an nflverse backend for schedules, weekly rosters, play-by-play, and normalized player/team stat tables. Zero config, no API keys. Use when: user asks about NFL scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, depth charts, team/player statistics, or NFL news. Don't use when: user asks about football/soccer (use football-data), college football (use cfb-data), or other sports.
development106
sports-reporter
Generates original sports journalism articles by consuming real-time data from the sports-skills skills. Covers game previews, live reports, post-game, team analysis, and player profiles for all supported sports. Use when: the user asks to write, generate, create, or draft an article, preview, report, analysis, summary, or journalistic coverage about games, teams, players, scores, statistics, or sports results. Do not use when: the user only wants raw data without journalistic text — use the sport-specific skill directly (nfl-data, nba-data, football-data, etc.). Do not use when: the user wants to search for news published by third parties — use sports-news.
testing106
cbb-data
College Basketball (CBB) data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, rankings, futures, team/player stats, and news for NCAA Division I men's basketball. Zero config, no API keys. Use when: user asks about college basketball scores, March Madness, NCAA tournament, standings, rankings, team rosters, schedules, play-by-play, betting futures, team/player statistics, or CBB news. Don't use when: user asks about NBA/WNBA (use nba-data/wnba-data), college football (use cfb-data), or non-sports topics.
development106
skills/world-cup-intelligence
# World Cup 2026 Intelligence Skill This skill organizes and packages the real-time predictive analytics, market data aggregation, and social sentiment indexing capabilities of the FIFA World Cup 2026 pod into a cohesive, SDK-discoverable, and Studio-renderable capability. ## Overview The `world-cup-intelligence` skill wraps low-level background workflows (ingestion, identity crosswalking, Dixon-Coles model solving) into high-level, client-facing methods exposed via the `@machina-sports/sdk`
tools4
polymarket-sync-events
Sync sports events from Polymarket. Use when users ask to "sync polymarket events", "fetch sports events", "import polymarket event data", or "get prediction market events". Fetches active events with embedded markets, maps to documents, and stores with embeddings.
documentation3
mkn-constructor
Construct and scaffold Machina agent-templates and connectors with correct YAML structure, then install them via MCP. Use when users ask to "create a template", "scaffold an agent", "init template", "build a new connector", "install template", "validate template", "analyze template", "trace agent", or "configure secrets".
tools3
skills/manifest-generator
# Project Manifest Generator Generates a draft `project.manifest.yml` for a Machina template by statically scanning a list of workflows and aggregating the credentials, connectors, datasets and agents they reference. Built to scale **Sprint 1A** of the Pipeline Platform Cleanup (the hand-written botandwin manifest at `entain-templates`) to every template in `machina-templates` without writing each one by hand. ## What it does 1. **Deterministic extraction (always)** — a pyscript connector wa
devops3
mkn-constructor/schemas
# Skill YAML Schema Skills register capabilities in the SDK/Studio for discoverability. They link reference documents and define entry points (workflows or agents) that users can invoke. **Location**: `skills/<skill-name>/skill.yml` or `agent-templates/<template-name>/skill.yml` --- ## Root Structure ```yaml skill: name: <string> # Required. Unique identifier (kebab-case) title: <string> # Required. Human-readable title description: <string> # Required.
development3
skills/press-conference-extractor
# Press Conference Extractor Skill This skill processes a raw transcript from a press conference and extracts structured insights. ## Use Case Use this skill when you have a long text of a press conference and need to quickly identify the key topics discussed, who said what, and which quotes are the most impactful for news reporting or analysis. ## Inputs - `transcript`: A single long string containing the full text of the press conference. ## Example Output The skill returns a JSON objec
data-ai3
skills/post-match-tweet-thread
# Post-Match Tweet Thread Skill Receives a raw match object and returns a structured 5-tweet thread in Brazilian Portuguese ready to be scheduled on the team's social account. ## Workflow: `generate-tweet-thread` Takes a single input `match_data` (a JSON object with the match facts) and returns a thread of exactly 5 perspective-tagged tweets. Each tweet is character-counted server-side so the publisher doesn't have to. ### Tweet positions | # | role | content angle
testing3
skills/news-monitor-storylines
# News Monitor: Storylines Skill This skill monitors news articles for a given entity and clusters them into distinct storylines. ## Use Cases - Tracking media coverage for a specific player, team, or league. - Identifying emerging narratives and trending topics. - Summarizing key events over a specific time period. ## How to Use Invoke the skill through its entry-point workflow, `news-monitor-workflow`, providing the following inputs: - `entity` (string): The name of the entity to search
testing3
mkn-constructor
Construct and scaffold Machina agent-templates and connectors with correct YAML structure, then install them via MCP. Use when users ask to "create a template", "scaffold an agent", "init template", "build a new connector", "install template", "validate template", "analyze template", "trace agent", or "configure secrets".
tools3
skills/match-stats-formatter
# Match Stats Formatter Skill This skill provides a workflow to format raw match statistics into a human-readable summary suitable for chat applications. ## Workflow: `format-match-stats` This workflow takes a single input, `match_data`, which is expected to be a JSON object containing the raw statistics of a sports match. It uses an AI prompt to transform this data into a natural language summary. ### Inputs - `match_data` (object): A JSON object containing the raw match data. **Example I
development3
skills/mkn-constructor/schemas
# Skill YAML Schema Skills register capabilities in the SDK/Studio for discoverability. They link reference documents and define entry points (workflows or agents) that users can invoke. **Location**: `skills/<skill-name>/skill.yml` or `agent-templates/<template-name>/skill.yml` --- ## Root Structure ```yaml skill: name: <string> # Required. Unique identifier (kebab-case) title: <string> # Required. Human-readable title description: <string> # Required.
development3
polymarket-sync-series
Sync series (leagues/competitions) from Polymarket. Use when users ask to "sync polymarket series", "fetch leagues", "import polymarket leagues", or "get prediction market competitions". Fetches series data, maps to documents, and stores with embeddings.
documentation3
polymarket-sync-markets
Sync sports prediction markets from Polymarket. Use when users ask to "sync polymarket markets", "fetch prediction markets", "get sports odds", or "import polymarket market data". Fetches active markets with prices, maps to documents, and stores with embeddings.
documentation3
skills/match-headline-generator
# Match Headline Generator Takes raw match facts and returns 5 differentiated headlines for various content team needs. ## When to use Use this skill when you have structured data about a sports match and need a variety of headlines quickly. It provides several angles (neutral, analytical, fan-focused, clickbait) to cater to different audiences and platforms. This contrasts with `match-stats-formatter`, which generates a single, neutral, prose-style summary of the match. ## Example Input (m
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