polymarket
Comprehensive Polymarket skill covering prediction markets, API, trading, market data, and real-time WebSocket data streaming. Build applications with Polymarket services, monitor live trades, and integrate market predictions.
Best use case
polymarket is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Comprehensive Polymarket skill covering prediction markets, API, trading, market data, and real-time WebSocket data streaming. Build applications with Polymarket services, monitor live trades, and integrate market predictions.
Comprehensive Polymarket skill covering prediction markets, API, trading, market data, and real-time WebSocket data streaming. Build applications with Polymarket services, monitor live trades, and integrate market predictions.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "polymarket" skill to help with this workflow task. Context: Comprehensive Polymarket skill covering prediction markets, API, trading, market data, and real-time WebSocket data streaming. Build applications with Polymarket services, monitor live trades, and integrate market predictions.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/polymarket/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How polymarket Compares
| Feature / Agent | polymarket | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comprehensive Polymarket skill covering prediction markets, API, trading, market data, and real-time WebSocket data streaming. Build applications with Polymarket services, monitor live trades, and integrate market predictions.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Polymarket Comprehensive Skill
Complete assistance with Polymarket development - covering the full platform (API, trading, market data) and the real-time data streaming client (WebSocket subscriptions for live market activity).
## When to Use This Skill
This skill should be triggered when:
**Platform & API:**
- Working with Polymarket prediction markets
- Using Polymarket API for market data
- Implementing trading strategies
- Building applications with Polymarket services
- Learning Polymarket best practices
**Real-Time Data Streaming:**
- Connecting to Polymarket's WebSocket service
- Building prediction market monitoring tools
- Processing live trades, orders, and market updates
- Monitoring market comments and social reactions
- Tracking RFQ (Request for Quote) activity
- Integrating crypto price feeds
## Quick Reference
### Real-Time Data Client Setup
**Installation:**
```bash
npm install @polymarket/real-time-data-client
```
**Basic Usage:**
```typescript
import { RealTimeDataClient } from "@polymarket/real-time-data-client";
const onMessage = (message: Message): void => {
console.log(message.topic, message.type, message.payload);
};
const onConnect = (client: RealTimeDataClient): void => {
client.subscribe({
subscriptions: [{
topic: "activity",
type: "trades"
}]
});
};
new RealTimeDataClient({ onMessage, onConnect }).connect();
```
### Supported WebSocket Topics
**1. Activity (`activity`)**
- `trades` - Completed trades
- `orders_matched` - Order matching events
- Filters: `{"event_slug":"string"}` OR `{"market_slug":"string"}`
**2. Comments (`comments`)**
- `comment_created`, `comment_removed`
- `reaction_created`, `reaction_removed`
- Filters: `{"parentEntityID":number,"parentEntityType":"Event"}`
**3. RFQ (`rfq`)**
- Request/Quote lifecycle events
- No filters, no auth required
**4. Crypto Prices (`crypto_prices`, `crypto_prices_chainlink`)**
- `update` - Real-time price feeds
- Filters: `{"symbol":"BTC"}` (optional)
**5. CLOB User (`clob_user`)** ⚠️ Requires Auth
- `order` - User's order updates
- `trade` - User's trade executions
**6. CLOB Market (`clob_market`)**
- `price_change` - Price movements
- `agg_orderbook` - Aggregated order book
- `last_trade_price` - Latest prices
- `market_created`, `market_resolved`
### Authentication for User Data
```typescript
client.subscribe({
subscriptions: [{
topic: "clob_user",
type: "*",
clob_auth: {
key: "your-api-key",
secret: "your-api-secret",
passphrase: "your-passphrase"
}
}]
});
```
### Common Use Cases
**Monitor Specific Market:**
```typescript
client.subscribe({
subscriptions: [{
topic: "activity",
type: "trades",
filters: `{"market_slug":"btc-above-100k-2024"}`
}]
});
```
**Track Multiple Markets:**
```typescript
client.subscribe({
subscriptions: [{
topic: "clob_market",
type: "price_change",
filters: `["100","101","102"]`
}]
});
```
**Monitor Event Comments:**
```typescript
client.subscribe({
subscriptions: [{
topic: "comments",
type: "*",
filters: `{"parentEntityID":12345,"parentEntityType":"Event"}`
}]
});
```
## Reference Files
This skill includes comprehensive documentation in `references/`:
**Platform Documentation:**
- **api.md** - Polymarket API documentation
- **getting_started.md** - Getting started guide
- **guides.md** - Development guides
- **learn.md** - Learning resources
- **trading.md** - Trading documentation
- **other.md** - Additional resources
**Real-Time Client:**
- **README.md** - WebSocket client API and examples
- **llms.md** - LLM integration guide
- **llms-full.md** - Complete LLM documentation
Use `view` to read specific reference files for detailed information.
## Key Features
**Platform Capabilities:**
✅ Prediction market creation and resolution
✅ Trading API (REST & WebSocket)
✅ Market data queries
✅ User portfolio management
✅ Event and market discovery
**Real-Time Streaming:**
✅ WebSocket-based persistent connections
✅ Topic-based subscriptions
✅ Dynamic subscription management
✅ Filter support for targeted data
✅ User authentication for private data
✅ TypeScript with full type safety
✅ Initial data dumps on connection
## Best Practices
### WebSocket Connection Management
- Use `onConnect` callback for subscriptions
- Implement reconnection logic for production
- Clean up with `disconnect()` when done
- Handle authentication errors gracefully
### Subscription Strategy
- Use wildcards (`"*"`) sparingly
- Apply filters to reduce data volume
- Unsubscribe from unused streams
- Process messages asynchronously
### Performance
- Consider batching high-frequency data
- Use filters to minimize client processing
- Validate message payloads before use
## Requirements
- **Node.js**: 14+ recommended
- **TypeScript**: Optional but recommended
- **Package Manager**: npm or yarn
## Resources
### Official Links
- **Polymarket Platform**: https://polymarket.com
- **Real-Time Client Repo**: https://github.com/Polymarket/real-time-data-client
- **API Documentation**: See references/api.md
### Working with This Skill
**For Beginners:**
Start with `getting_started.md` for foundational concepts.
**For API Integration:**
Use `api.md` and `trading.md` for REST API details.
**For Real-Time Data:**
Use `README.md` for WebSocket client implementation.
**For LLM Integration:**
Use `llms.md` and `llms-full.md` for AI/ML use cases.
## Notes
- Real-Time Client is TypeScript/JavaScript (not Python)
- Some WebSocket topics require authentication
- Use filters to manage message volume effectively
- All timestamps are Unix timestamps
- Market IDs are strings (e.g., "100", "101")
- Platform documentation covers both REST API and WebSocket usage
---
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