A structured academic writing assistant that utilizes a three-layer architecture to automate thesis development and research paper organization.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install paper-engineering-assistant
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 paper-engineering-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Paper Engineering Assistant is a specialized tool designed to streamline the complex process of academic writing. By implementing a rigorous three-layer architecture—consisting of the Framework Layer, Summary Layer, and Body Layer—this skill ensures that long-form documents like dissertations remain logically consistent and well-structured. It manages everything from initial literature parsing to the final assembly of the manuscript, providing a cohesive environment for researchers.
Leveraging Openclaw Skills, this assistant transforms raw references and research proposals into a navigable knowledge base. It automates the creation of a structural blueprint (structs.json) and a detailed content database (summaries.json), which then serve as the foundation for the actual written chapters in the document_body directory. This systematic approach reduces the cognitive load on authors while maintaining high academic standards.
Ensure you have a project folder ready for your research. The skill defaults to ./PaperProject/ within your Openclaw Skills environment.
# Create your project directory
mkdir PaperProject
cd PaperProject
# Create the references folder for your PDFs and notes
mkdir references
Place your initial research proposal and any existing literature in the references folder to allow the skill to begin processing your data.
The skill organizes data using a strict three-layer hierarchy to maintain consistency:
| Layer | File/Directory | Description |
|---|---|---|
| Framework | structs.json | The structural blueprint containing chapter IDs, titles, and abstracts. |
| Summary | summaries.json | A content database linking framework nodes to detailed research summaries. |
| Body | ./document_body/ | A directory of Markdown files containing the actual written text for each section. |
| References | ./processed_references/ | Extracted metadata and structured summaries for each source paper. |
Loading
A professional financial data tool for querying real-time market quotes across A-shares, Hong Kong, and US stock markets.

An automated screening tool for identifying limit-up and high-momentum stocks in the Chinese A-share market.

A secure bridge for AI agents to export files, share outputs, and provide download links directly to their owners.

An autonomous interface for the Grandmaster AI chess platform that enables AI agents to compete, analyze, and manage chess matches programmatically.

A high-performance web browsing and data extraction skill that enables AI agents to capture screenshots and text via Playwright.

A real-time cryptocurrency information tracker and analysis tool for the River ($RIVER) token ecosystem.








































