A professional crypto market intelligence agent that synthesizes sentiment, on-chain data, and technical analysis into actionable trading signals.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sales-crypto-sentiment
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install sales-crypto-sentiment using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Sales Crypto Sentiment agent is a sophisticated market intelligence tool designed for the Openclaw Skills ecosystem. It serves as a bridge between complex data streams and actionable insights, helping traders and developers navigate the volatile cryptocurrency markets. By monitoring social sentiment, exchange flows, and technical indicators, this agent provides a data-driven perspective on market bias without the risk of hallucination. It is built to surface only verifiable signals, making it an essential component for those building automated trading workflows or research tools.
This skill excels at identifying market extremes and momentum shifts. Whether you are tracking whale movements or analyzing funding rates on major exchanges, the Sales Crypto Sentiment agent processes vast amounts of information to deliver structured reports. It operates as a purely informational tool, ensuring that users receive high-quality analysis to inform their own decision-making processes within the framework of Openclaw Skills.
To deploy this skill within your Openclaw Skills environment, ensure you have the necessary system dependencies and the clawhub package installed.
# Ensure curl is installed on your system
# Install the clawhub node package
npm install -g clawhub
Once installed, you can trigger the agent using specific phrases like "analyze bitcoin" or "trading alert" to begin your market analysis.
The agent organizes market data into a structured signal format and provides a clear pricing taxonomy for services:
| Signal Field | Description |
|---|---|
| ASSET | The trading pair analyzed (e.g., BTC/USDT) |
| DIRECTION | Market bias (Bullish / Bearish / Neutral) |
| CONFIDENCE | Probability score ranging from 60% to 95% |
| TIMEFRAME | The analysis window (4H, 1D, 1W) |
| ENTRY ZONE | The recommended price range for market entry |
| CATALYST | The specific news or on-chain event driving the signal |
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