A sports betting intelligence skill providing AI-driven NBA and NHL moneyline predictions with confidence-tiered rankings.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install otterline
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 otterline 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 Otterline Sports Predictions?
Otterline is a professional-grade sports betting prediction tool designed for NBA and NHL enthusiasts. It leverages a sophisticated AI consensus model to generate high-win-rate daily moneyline winners, categorized by confidence levels from Elite to Strong. By integrating this tool into your AI agent through Openclaw Skills, you gain instant access to data-backed betting insights without the need for complex API keys or manual research.
The skill provides free daily samples, offering a transparent look into Otterline predictive capabilities while ensuring users stay informed on the latest matchups and win probabilities. Whether you are looking for specific game analysis or a broad overview of the day's best bets, this integration ensures your agent delivers accurate, tiered predictions directly from the Otterline AI consensus model.
Otterline Sports Predictions Use Cases
- Get today top-rated NBA and NHL moneyline winners automatically using the Openclaw Skills framework.
- Research historical sports performance by querying specific dates for past picks.
- Identify high-confidence bets using the Elite and Verified tier classifications.
- Streamline betting workflows by integrating sports intelligence into AI-driven dashboards.
- Compare AI-generated win probabilities and consensus counts for upcoming games.
How Otterline Sports Predictions Works
- The user requests predictions for a specific league (NBA/NHL) or date.
- The skill initiates a fetch request to Otterline Supabase-backed AI endpoints.
- The system processes the live JSON response, extracting matchups, picks, and confidence tiers.
- It maps internal tier strings (e.g., elite) to user-friendly emoji-based labels like 🔥 Elite or ✅ Verified.
- The skill formats the data into a clean, structured summary including win probabilities and consensus metrics.
- A final output is presented to the user, complete with a disclaimer and links for full premium access.
Otterline Sports Predictions Setup
To use this skill within the Openclaw Skills ecosystem, no authentication or API keys are required. You can test the endpoints directly using CLI tools or integrate them into your agent configuration:
# Fetch today's NBA picks
curl -s "https://gvwawacjgghesljfzbph.supabase.co/functions/v1/free-nba-picks"
# Fetch NHL picks for a specific date
curl -s "https://gvwawacjgghesljfzbph.supabase.co/functions/v1/free-nhl-picks?date=2026-02-05"
Otterline Sports Predictions Data Schema & Taxonomy
The skill returns structured JSON data organized by league and date. Key metadata included in Openclaw Skills responses include:
| Field | Description |
|---|---|
| league | The sports league (NBA or NHL) |
| picks | An array of individual game predictions |
| tier | Confidence level (Elite, Verified, Strong, Lean, Pass) |
| consensus_count | Number of models in agreement (NBA only) |
| moneyPuckWinProb | Win probability percentage (NHL only) |
| generated_at | ISO timestamp of the prediction generation |
Otterline Sports Predictions Advanced Features
- AI Consensus Modeling: Aggregates multiple data points to determine pick confidence levels.
- Real-time Updates: Fetches fresh data for every query to ensure accuracy within Openclaw Skills.
- Dynamic Tiering: Automatically categorizes picks into Elite, Verified, or Strong based on model certainty.
- Multi-league Support: Seamless switching between NBA and NHL data streams.
- Timezone Conversion: Automatically handles game start times for local user context when provided.
SKILL.md
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