# markets

A skill that pairs ESPN schedules with Kalshi and Polymarket prediction markets: dashboards, odds comparison and bet evaluation.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 861 installs · ★ 258
- Author: machina-sports
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/machina-sports/sports-skills/tree/HEAD/skills/markets/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/markets

## What it does

The `markets` skill pulls ESPN schedules for NBA, NFL, MLB, NHL, WNBA, CFB and CBB, then matches them against Kalshi and Polymarket prediction markets. Running `get_todays_markets --sport=nba` returns the day's games with DraftKings odds and the markets found for each one. Prices are normalised to implied probability, so venues sit on the same scale.

Under the hood it is a CLI (`sports-skills`) plus a Python SDK (`sports_skills.markets`). You get entity search, odds comparison for a single event, market URL parsing, price history, and bet evaluation that takes a fee per contract. The skill tells you to read `references/api-reference.md` first for sport codes, command parameters and price normalisation formats.

One caveat matters: raw market lists are search hits, not verified equivalents of a given game's contract. Only `side_prices` from `compare_odds` and `evaluate_market` are identity-checked. Arbitrage figures come from reference prices (`price_basis: "reference"`), so confirm both legs on each venue's order book before trading. Gemini comparison is NBA-only until settlement equivalence is verified for other sports.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add machina-sports/sports-skills --skill markets -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/markets/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/markets/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add machina-sports/sports-skills --skill markets -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/markets/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add machina-sports/sports-skills --skill markets -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/markets/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install machina-sports/sports-skills markets
```

2. **Manually: put the files in place**
- File: `.github/skills/markets/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add machina-sports/sports-skills --skill markets -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/machina-sports/sports-skills --path skills/markets
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/markets/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add machina-sports/sports-skills --skill markets -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/machina-sports/sports-skills/tree/HEAD/skills/markets/SKILL.md

## When to use it
- line up ESPN schedules and prediction market odds in one view
- compare prices for the same game across Kalshi and Polymarket
- find a team or player on Kalshi and Polymarket by sport
- check for arbitrage between ESPN odds and prediction markets
- evaluate a game's market value with the venue fee included

## Example prompts
- show today's NBA prediction market odds next to the ESPN schedule
- compare odds for the NBA game with event_id 401234567 across venues
- search for the Lakers across NBA prediction markets

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: c629573897527326.

BEGIN THIRD-PARTY FILE c629573897527326
````text
---
name: markets
description: |
  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.
license: MIT
metadata:
  author: machina-sports
  version: "0.3.0"
---

# Markets Orchestration

Bridges ESPN live schedules (NBA, NFL, MLB, NHL, WNBA, CFB, CBB) with Kalshi and Polymarket prediction markets. Before writing queries, consult `references/api-reference.md` for supported sport codes, command parameters, and price normalization formats.

## Quick Start

```bash
sports-skills markets get_todays_markets --sport=nba
sports-skills markets search_entity --query="Lakers" --sport=nba
sports-skills markets compare_odds --sport=nba --event_id=401234567
sports-skills markets compare_market_url --url=https://polymarket.com/event/nfl-sf-sea-2026-10-11
sports-skills markets get_sport_markets --sport=nfl
sports-skills markets get_sport_schedule --sport=nba
sports-skills markets normalize_price --price=0.65 --source=polymarket
sports-skills markets evaluate_market --sport=nba --event_id=401234567 --fee_per_contract=<verified fee>
sports-skills markets match_markets --sport=mlb --date=2026-06-06
sports-skills markets get_market_price --venue=kalshi --ticker=KXMENWORLDCUP-26-FR
sports-skills markets get_price_history --venue=kalshi --ticker=KXMENWORLDCUP-26-FR --interval=1d
```

Python SDK:
```python
from sports_skills import markets

markets.get_todays_markets(sport="nba")
markets.search_entity(query="Lakers", sport="nba")
markets.compare_odds(sport="nba", event_id="401234567")
markets.compare_market_url(url="https://kalshi.com/markets/kxnflgame/sf-vs-sea/kxnflgame-26oct11sfsea")
markets.get_sport_markets(sport="nfl")
markets.get_sport_schedule(sport="nba", date="2025-02-26")
markets.normalize_price(price=0.65, source="polymarket")
markets.evaluate_market(sport="nba", event_id="401234567", fee_per_contract=fee)  # fee: verified (user-stated or documented venue fee)
markets.match_markets(sport="mlb", date="2026-06-06")
````
END THIRD-PARTY FILE c629573897527326

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