·kalshi

Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers soccer, 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 football-data or fastf1 instead. 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.

25Installs·19Trend·@machina-sports

Installation

$npx skills add https://github.com/machina-sports/sports-skills --skill kalshi

SKILL.md

If pip install fails with a Python version error, the package requires Python 3.10+. Find a compatible Python:

Prefer the CLI — it avoids Python import path issues:

getexchangestatus Get exchange status (trading active, maintenance). No params.

Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers soccer, 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 football-data or fastf1 instead. 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. Source: machina-sports/sports-skills.

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Install command
npx skills add https://github.com/machina-sports/sports-skills --skill kalshi
Category
{}Data Analysis
Verified
First Seen
2026-02-17
Updated
2026-02-18

Quick answers

What is kalshi?

Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers soccer, 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 football-data or fastf1 instead. 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. Source: machina-sports/sports-skills.

How do I install kalshi?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/machina-sports/sports-skills --skill kalshi Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/machina-sports/sports-skills

Details

Category
{}Data Analysis
Source
skills.sh
First Seen
2026-02-17