An advanced research agent skill that leverages Exa's neural search to find, retrieve, and synthesize academic papers and scientific studies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install abm-exa-research-papers
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 abm-exa-research-papers 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 Exa Research Papers?
Exa Research Papers is a specialized tool designed for academic excellence within the Openclaw Skills ecosystem. Unlike general search engines, this skill utilizes category-specific neural search to pinpoint peer-reviewed literature, scientific studies, and foundational academic works. It streamlines the discovery process by filtering for high-relevance content across various disciplines including computer science, psychology, and economics.
The skill goes beyond mere link discovery by providing automated synthesis of findings. It enables developers and researchers to extract abstracts, identify key highlights, and understand the consensus or divergence within a particular field of study. By integrating Openclaw Skills into your workflow, you transform a manual literature review into a high-speed data operation.
Exa Research Papers Use Cases
- Conducting deep literature reviews for academic publications or theses.
- Validating scientific claims or finding evidence-based data for product development.
- Tracking the latest breakthroughs in specific technical fields using date-filtered searches.
- Synthesizing complex research topics into concise summaries for stakeholders.
- Identifying seminal papers and foundational works in a new area of study.
How Exa Research Papers Works
- Context Analysis: The skill checks for existing product or marketing context to minimize redundant questions.
- Parameter Definition: Identifies the research topic, specific questions, discipline, and preferred recency.
- Targeted Search: Executes a categorized search via the Exa API specifically targeting the research paper metadata.
- Content Extraction: Fetches full text, abstracts, and highlights from the most relevant paper IDs.
- Synthesis: Correlates findings across multiple sources to highlight common themes and research gaps.
Exa Research Papers Setup
To use this within the Openclaw Skills framework, ensure you have the Exa CLI tools configured.
# Basic academic search
exa.js search --query "quantum computing efficiency" --category "research paper" --num-results 10
# Search for papers published in the current year
exa.js search --query "LLM architectures" --category "research paper" --num-results 10 --start-date 2026-01-01
Exa Research Papers Data Schema & Taxonomy
The skill organizes research data into a structured format for easy ingestion:
| Attribute | Description |
|---|---|
| Metadata | Includes Title, Authors, and Publication Year. |
| Key Findings | A 2-3 sentence technical summary of the main results. |
| Relevance | Contextual mapping of the paper to the user's specific query. |
| Synthesis | A higher-level taxonomy of themes, agreements, and research gaps. |
Exa Research Papers Advanced Features
- Neural Highlighting: Automatically extracts the most important sentences from academic abstracts using AI.
- Date-Range Filtering: Precisely target current-year breakthroughs or ignore recent trends to find foundational papers.
- Cross-Disciplinary Comparison: Run parallel searches across different fields and merge the findings into a single report.
- Dry Run Support: Validate query syntax and estimated result counts without consuming API credits.
SKILL.md
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