A specialized agent for creating scholarly papers, literature reviews, and research methodology with strict adherence to academic integrity.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install academic-writing
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 academic-writing using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Academic Writing skill is designed for researchers, students, and academics who require high-precision content generation. It transforms AI into a scholarly writing expert that strictly follows academic standards, ensuring that every output is professional and properly cited. By focusing on peer-reviewed sources and verifiable data, it helps users build credible thesis papers, journals, and reports within the Openclaw Skills ecosystem.
This skill enforces a formal technical tone and utilizes specialized output formatting using Markdown and
To integrate this skill into your agent, ensure you have the Openclaw Skills environment configured. Install the skill by adding the following configuration to your skill manifest:
# Example of referencing the skill in your environment
openclaw install academic-writing
Ensure that runtime variables such as $DATE$ and $SESSION_GROUP_ID$ are available for substitution if required by your specific agent implementation.
The skill produces structured Markdown documents with the following data taxonomy:
| Component | Format | Description |
|---|---|---|
| Body Content | Markdown | Formal academic text wrapped in |
| Citations | [n] | Sequential, numbered in-text citations starting from [1]. |
| References | List | Full bibliographic details (Author, Year, Title, Journal, URL). |
| Visuals | Mermaid | Code blocks for diagrams and flowcharts. |
| Data | Tables | Markdown tables for comparative and systematic data analysis. |
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