A specialized AI skill for analyzing news headlines and market reports to identify high-potential thematic stock selections.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install content-stock
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 content-stock 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 Content-Stock Analysis?
Content-Stock is a high-performance analysis tool designed for the modern investor and developer. As part of the Openclaw Skills library, it bridges the gap between raw financial news and actionable market intelligence. By processing keywords, news titles, and comprehensive reports, the skill identifies underlying market themes and matches them with relevant stock opportunities.
Built to be flexible and efficient, this skill allows users to toggle between quick surface-level scans and deep analytical dives. It integrates seamlessly into automated financial workflows, providing a programmatic way to extract investment signals from the noise of daily financial content through the Openclaw Skills framework.
Content-Stock Analysis Use Cases
- Identifying stocks related to emerging technologies like renewable energy or AI through Openclaw Skills automated analysis.
- Scanning daily financial news headlines to detect sudden thematic shifts in the market.
- Generating deep-dive reports on specific investment queries for portfolio diversification.
- Automating the research phase of quantitative trading strategies based on qualitative content.
How Content-Stock Analysis Works
- The user provides a query string and specifies an analysis depth level (fast or deep).
- The skill authenticates with the EasyAlpha API using the provided environment credentials.
- Content-Stock parses news titles, reports, and thematic keywords relevant to the query.
- The AI model analyzes the sentiment and relevance of the content to specific stock tickers.
- The skill streams the resulting stock selection analysis back to the developer in real-time.
Content-Stock Analysis Setup
To use this skill within the Openclaw Skills environment, ensure you have Node.js installed and set your API key.
# Export the required API key
export EASYALPHA_API_KEY="your_api_key_here"
# Install dependencies (if applicable)
npm install
Content-Stock Analysis Data Schema & Taxonomy
The Content-Stock skill processes structured requests and returns a stream of analytical data. The metadata and request structure are organized as follows:
| Parameter | Type | Description |
|---|---|---|
| query | string | The keyword, news headline, or report theme to analyze. |
| type | string | Analysis depth: "fast" (quick overview) or "deep" (comprehensive analysis). |
Output Format:
- Streams plain-text or Markdown-formatted analysis lines containing thematic insights and stock recommendations.
Content-Stock Analysis Advanced Features
- Dual-mode analysis depth allowing for cost and time optimization between rapid scans and deep research.
- Real-time response streaming for immediate data visualization in dashboards.
- Seamless integration with other Openclaw Skills for multi-agent financial research pipelines.
- Native support for environment-based credential management for secure deployment.
SKILL.md
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