An AI-driven academic research assistant that programmatically accesses the CORE API to automate literature reviews, analyze scholarly papers, and format citations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install core-researcher
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 core-researcher 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 Academic Researcher?
The Academic Researcher skill transforms your AI agent into a sophisticated scholarly assistant. By leveraging direct integration with the CORE API v3, it allows for seamless programmatic access to millions of open-access research papers, authors, and journals. This skill is essential for researchers who need to move beyond simple web searches into deep, verifiable academic databases using Openclaw Skills.
Beyond data retrieval, it provides a structured framework for analyzing research methodologies, identifying scholarly gaps, and synthesizing complex arguments. Whether you are drafting a thesis or conducting a systematic review, this addition to your Openclaw Skills library ensures your writing meets the highest academic standards with precise citation formatting in APA, MLA, or Chicago styles.
Academic Researcher Use Cases
- Conducting comprehensive literature reviews across multiple disciplines.
- Programmatically fetching metadata and abstracts for specific DOIs or keywords.
- Analyzing research methodologies and identifying limitations in existing studies.
- Structuring academic arguments and research proposals.
- Generating accurate citations and bibliographies automatically using Openclaw Skills.
How Academic Researcher Works
- The agent authenticates with the CORE API v3 using a securely provided API key.
- Users provide a query, DOI, or specific research question to trigger a search within the Openclaw Skills environment.
- The skill queries the CORE endpoints to retrieve works, authors, or source data.
- Retrieved data is processed through a specialized paper analysis framework to extract findings and significance.
- Results are formatted into structured markdown reports or literature reviews based on user-defined templates.
Academic Researcher Setup
To get started with this skill in your Openclaw Skills environment, you must first obtain a CORE API key. Pass the key at runtime using an environment variable to ensure security.
export CORE_API_KEY="your_api_key_here"
The skill interacts with the base URL https://api.core.ac.uk/v3/ and requires the Authorization: Bearer <key> header for all requests.
Academic Researcher Data Schema & Taxonomy
The Academic Researcher skill organizes retrieved research data into a standardized format before rendering. This ensures consistency across different Openclaw Skills outputs.
| Field | Description |
|---|---|
| title | The full title of the academic work |
| authors | An array of contributing researchers |
| yearPublished | The four-digit publication year |
| doi | Digital Object Identifier for direct linking |
| abstract | A summary of the research content |
| isOa | Boolean flag indicating Open Access status |
Academic Researcher Advanced Features
- Multi-endpoint search capabilities including authors, works, and publishers via Openclaw Skills.
- Automated citation generation for APA 7th, MLA 9th, and Chicago 17th editions.
- Integration of a five-point paper analysis framework for deep critical review.
- Support for programmatic pagination and offset management for large-scale data harvesting.
- Standardized output templates for consistent academic writing and personal research notes.
SKILL.md
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