A high-performance investment research tool that distills complex reports into concise, expectation-driven market alerts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-summary
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 research-summary using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The research-summary skill is a specialized tool designed for professional analysts and investors in the technology, internet, and semiconductor sectors. It serves as a digital senior researcher that doesn't just translate content, but actively synthesizes sell-side reports into the 180k style—a direct, high-impact communication format favored by top-tier investment circles. By focusing on incremental information and expectation gaps, it provides a significant edge for users of Openclaw Skills.
This skill excels at converting dense English or Chinese research papers, PDFs, and web links into structured Chinese alerts optimized for social sharing and professional decision-making. It prioritizes market catalysts, pricing discrepancies, and structural industry changes over generic summaries, ensuring that the output is immediately actionable for the secondary market.
To integrate this capability into your environment, ensure you have the core agent framework installed. You can add this specific skill to your configuration to start processing financial documents immediately. In your terminal, you can initialize the skill via the Openclaw Skills interface:
# Install the research-summary skill
openclaw install research-summary
# Provide a report for analysis
openclaw run research-summary --input ./morgan-stanley-nvda.pdf
The skill organizes research data into a strictly tiered taxonomy to ensure clarity and speed of reading:
| Data Layer | Description | Key Fields |
|---|---|---|
| Metadata | Source and provenance | Title, Source, URL, Date |
| Classification | Analytical framework type | Type A-E Categories |
| Core Logic | The central investment thesis | Main Exam Question |
| Actionable Bullets | Supporting evidence and judgment | Conclusion, Numbers, Impact |
| Market Sentiment | Directional bias | Winner vs. Loser, Long-term Winner |
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