Route paper search queries and figure-generation prompts to Wentor academic endpoints.
npx skills add https://github.com/wentorai/Research-Claw --skill wentor-api
Please help me install this Agent Skill. Skill: Wentor API Source: https://github.com/wentorai/Research-Claw/tree/main/skills/wentor-api Command: npx skills add https://github.com/wentorai/Research-Claw --skill wentor-api
It removes the friction of discovering relevant academic papers and producing structured, publication-ready figures by providing direct access to Wentor’s academic services through a token-secured API.
Use the Wentor Academic API with your API token to run a natural-language question search like: find papers about attention mechanisms in transformers and return the top 10 most relevant results.
High-intent search queries and answers about installing and using this skill.
Academic paper search via natural language queries is supported through the paper Q&A feature, which retrieves relevant publications by answering research questions with configurable ranking and metadata filters.
Structured metadata search queries papers by specific fields like title, keywords, author, organization, or venue, returning results with pagination and sorting options for precise academic discovery.
Academic figure generation from text prompts is supported to produce text-to-image charts, enabling quick visualization of research results for publication-ready research workflows.
A valid Wentor API Bearer token is required to access academic search and figure generation endpoints, along with service enablement configured in the dashboard.
Academic paper search and plotting enforce endpoint-specific quota and rate-limit constraints, meaning API requests are throttled per endpoint to manage service usage and prevent excessive calls.
Integrating paper retrieval into a research workflow is best achieved by combining natural-language Q&A for discovery and structured metadata search for targeted filtering, yielding relevant papers for downstream visualization.
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