polymarket-prediction-market

Understand Polymarket's prediction markets—binary event contracts, CLOB pricing, order books, conditional tokens, and API integration.

axwelbrand-byte/arbibot|Updated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodex

Installation Guide

Select your AI agent

How to use polymarket-prediction-market on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add polymarket-prediction-market

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/axwelbrand-byte/arbibot --skill polymarket-prediction-market

Fetches polymarket-prediction-market from axwelbrand-byte/arbibot and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/polymarket-prediction-market

Restart Cursor to activate polymarket-prediction-market. Access via /polymarket-prediction-market in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Field	Description
`condition_id`	Unique identifier for the condition/event
`question`	The market question text
`tokens`	Array of outcome tokens (YES/NO)
`token_id`	Unique ID for each outcome token
`outcome`	Token outcome name ("Yes" or "No")
`price`	Current mid-market price ($0.00-$1.00)
`volume`	Total trading volume in USDC
`liquidity`	Available liquidity in the order book
`end_date_iso`	When the market closes for trading
`active`	Whether market is currently tradeable
`closed`	Whether market has been resolved
`resolved`	Settlement status
`resolution`	Final outcome if resolved

Type	Description
GTC	Good-Til-Cancelled - stays until filled or cancelled
GTD	Good-Til-Date - expires at specified time
FOK	Fill-Or-Kill - must fill entirely or cancel

Environment	URL
CLOB API	`https://clob.polymarket.com`
Gamma API	`https://gamma-api.polymarket.com`

Endpoint	Description
`GET /markets`	List all markets
`GET /markets/{condition_id}`	Get specific market
`GET /book`	Get order book for a token
`GET /price`	Get current prices
`GET /midpoint`	Get mid-market price

Endpoint	Description
`POST /order`	Place a new order
`DELETE /order/{order_id}`	Cancel an order
`GET /orders`	Get user's open orders
`GET /trades`	Get user's trade history

Category	Examples
Esports	CS2, League of Legends, Valorant, Dota 2, Call of Duty
Basketball	NBA games, playoffs, championships
Soccer	Premier League, UEFA, Champions League, World Cup
American Football	NFL games, Super Bowl
Tennis	ATP, WTA, Grand Slams (Wimbledon, US Open, etc.)
MMA/Fighting	UFC events, Bellator

Polymarket	Kalshi	Notes
Team Liquid	Team Liquid, TL	Abbreviations
G2 Esports	G2, G2 eSports	Spacing/capitalization
FaZe Clan	FaZe, Faze Clan	Case sensitivity
Natus Vincere	NaVi, Na'Vi	Common nicknames
Manchester United	Man United, Man U	Shortened names
Los Angeles Lakers	LA Lakers, Lakers	City abbreviations

polymarket-prediction-market

Installation Guide

How to use polymarket-prediction-market on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

List & Monetize Your Skill

Use Cases

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Install Skill

polymarket-prediction-market

Allowed Tools

Core Mental Model

Data Hierarchy

Market Objects

Order Book Structure

Trading Mechanics

Order Types

Position Management

Fees

Settlement & Resolution

API Conventions

Base URLs

Public Endpoints (No Auth)

Authenticated Endpoints

Authentication

WebSocket (Real-time Updates)

API Response Examples

Market Object

Order Book Response

Sports & Esports Markets

Supported Categories

Market Naming Conventions

Common Name Variations

Esports-Specific Patterns

CS2 (Counter-Strike 2)

League of Legends

Valorant

Call of Duty

Traditional Sports Patterns

NBA Basketball

Soccer/Football

NFL Football

Tennis

MMA/UFC

API Filtering for Sports Markets

Market Matching Strategy

Stakeholder Communication

Implementation Guide

Best Practices

When to Use This

Learning Path

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Reviews

Discussion