A sophisticated decision-support skill for scanning and analyzing Polymarket prediction markets with a focus on NBA and soccer data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install polymarket-tradingskill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install polymarket-tradingskill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Polymarket Trading Decision Support?
The Polymarket Trading Skill is a high-performance decision-support tool designed for users of Openclaw Skills who require rapid analysis of prediction markets. It functions as a read-only analytical layer that surfaces promising markets, organizes them by priority, and explains pricing contexts. By leveraging specialized API endpoints, it allows users to identify edges in sports, politics, and macro markets without managing the complexities of trade execution.
This skill is optimized for speed-to-shortlist, providing structured insights that help users make informed decisions. It bridges the gap between raw market data and actionable intelligence by calculating fair price versus executable ask, ensuring that every recommendation is backed by a technical pricing view and risk assessment.
Polymarket Trading Decision Support Use Cases
- Scanning NBA leagues and games for specific tradable opportunities within defined time windows.
- Generating prioritized opportunity lists for soccer markets using the soccer5 local universe.
- Performing deep-dive analysis on specific Polymarket events using URLs, market IDs, or event slugs.
- Accessing rapid fair-price shortcuts for NBA markets to identify pricing discrepancies instantly.
- Monitoring high-stakes politics and macro events for structural changes and orderbook shifts.
How Polymarket Trading Decision Support Works
- Intent Recognition: The skill analyzes the user prompt to determine if the goal is a broad scan, a fair price check, or a deep analysis of a specific market.
- API Integration: It connects to a local agent API backend using configured environment variables to pull real-time market data.
- Data Filtering: The skill filters the raw API responses to identify tradable candidates, separating market families such as moneyline, spread, and totals.
- Edge Calculation: It compares fair prices against the best executable asks (YES/NO) to calculate the potential edge and market spread.
- Priority Classification: Markets are ranked as high priority, watch, or low priority based on data freshness, edge strength, and liquidity.
- Structured Output: The skill returns a compact report including the pricing view, risk notes, and recommended next check times.
Polymarket Trading Decision Support Setup
To utilize this skill within Openclaw Skills, you must configure your local environment variables to point to your agent API backend:
# Set the base URL for the agent API
OPENCLAW_AGENT_API_BASE_URL=http://your-host:8080/api/v1/agent
# Set your secure bearer token
OPENCLAW_AGENT_API_KEY=your-own-bearer-token
Ensure these variables are loaded in your environment or secret store before initiating a scan or analysis request.
Polymarket Trading Decision Support Data Schema & Taxonomy
The skill organizes market data and metadata into structured classifications for clear decision-making:
| Data Type | Attributes Included |
|---|---|
| Market Metadata | market_id, event_id, event slug, market_domain |
| Pricing Data | fair_yes, fair_no, best_ask_yes, best_ask_no, spread |
| Status Indicators | data_status (tradable, watch, unpriced), freshness_bucket |
| Priority Tiers | high_priority_review, watch, low_priority |
| Change Tracking | new, upgraded, downgraded, removed, unchanged |
Polymarket Trading Decision Support Advanced Features
- Auto-Deepen Logic: Automatically triggers deep orderbook analysis for borderline markets with high edge but low data freshness.
- Cooldown & Dedup: Enforces specific cooldown periods (e.g., 5m for scans, 15m for reviews) to prevent redundant data output in Openclaw Skills.
- Domain Routing: Intelligent routing that treats NBA requests with specialized fair-price logic while handling soccer and politics via universal analysis.
- Relative Time Conversion: Automatically converts natural language timeframes like today or next 24h into explicit ISO timestamps for API precision.
- Multi-Step Discovery: Transitions from broad event discovery to specific market analysis seamlessly when high-value opportunities are identified.
SKILL.md
Loading
Related Openclaw Skills
Tianshu Image Generation
A Node.js-powered image generation skill for AI agents that integrates with Alibaba Cloud DashScope for high-quality text-to-image conversion.
OpenClaw Config Safe Edit
A specialized validation skill designed to prevent configuration errors and version incompatibility when modifying OpenClaw system files.
debate-4person
A professional-grade 4-person standard debate simulation tool where AI roles play 8 distinct debaters followed by expert adjudication.
AI Intelligent Knowledge Base
A professional-grade enterprise knowledge management system leveraging semantic search and knowledge graphs for intelligent information retrieval.
Group Summarizer
A specialized tool designed to synthesize fragmented member reports from parent directories into a single, cohesive team progress narrative.
Currency Forecast
A professional-grade currency exchange rate analysis tool providing technical indicators and predictive forecasting for global currency pairs.
Featured*
