baidu-scholar-search-skill

What This Skill Does

The Baidu Scholar Search Skill is a powerful research tool designed for OpenClaw AI agents to retrieve scholarly information from a vast database of academic literature. It allows users to query Chinese and English journals, conference papers, and dissertations directly from Baidu Scholar. The skill acts as a bridge between the user's research needs and structured academic data. By adjusting parameters, the agent can either provide a rapid overview of available literature or perform a deep dive into specific topics by fetching full abstracts, enabling researchers and students to streamline their literature review process efficiently.

Installation

To integrate this skill into your OpenClaw environment, ensure you have the necessary permissions and environment variables configured. First, set your BAIDU_API_KEY to allow the agent to authenticate with the underlying service. Run the following command in your terminal:

clawhub install openclaw/skills/skills/ide-rea/baidu-scholar-search-skill

Once installed, the agent will have access to the search functions and will be able to map user intent to the correct API endpoints automatically.

Use Cases

• Literature Review: Quickly aggregate a list of recent papers on a specific topic like 'deep learning architecture' to identify key authors or seminal works.
• Academic Inquiry: Fetching detailed summaries (abstracts) for papers to determine their relevance before deciding to access the full source material.
• Bibliographic Discovery: Navigating through multiple pages of results to compile a comprehensive bibliography for a research project or academic assignment.

Example Prompts

1. "Find me the latest research papers on 'quantum computing' published this year."
2. "Search for 'transformer models in NLP' and provide me with the abstracts so I can compare the methodologies."
3. "List more papers on 'cardiovascular disease' from the next page of search results."

Tips & Limitations

• Response Time: Requesting abstracts increases the request payload and processing time significantly; use this only when necessary.
• Precision: Wrap your search keywords in double quotes to ensure the engine interprets them correctly, especially for multi-word phrases.
• Pagination: The search defaults to page 0 (the first page). If you do not find what you are looking for, increment the page number parameter to explore further results.
• Contextual Awareness: The agent is trained to decide whether to fetch an abstract based on your tone; be explicit if you require detailed content to ensure you get the right data format.