A professional AI agent designed to ingest, translate, and analyze academic papers from ArXiv or local PDFs with deep technical context.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install academic-translator
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 academic-translator 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 Translator & Research Assistant?
The Academic Translator & Research Assistant is a specialized tool optimized for researchers, academics, and students, particularly in the Computer Science domain. It provides high-fidelity translation between English and Chinese while strictly adhering to academic writing standards. By utilizing Openclaw Skills, the agent ensures that technical terminology remains consistent, LaTeX formulas are preserved, and model names stay in their original English form for clarity.
Beyond simple translation, this skill acts as a comprehensive research partner. It can synthesize information from a paper's text with real-time web research to explain complex concepts, find implementation repositories on GitHub, and compare methodology across multiple documents. It is built to handle the structural nuances of scholarly work, maintaining the flow from Abstract through to the Conclusion.
Academic Translator & Research Assistant Use Cases
- Translating complex ArXiv papers while preserving mathematical LaTeX notation and technical terms.
- Generating structured summaries of research papers to quickly grasp core contributions and key results.
- Conducting deep Q&A sessions where the agent synthesizes information from the paper and live web search results.
- Comparing multiple research papers to identify differences in methodology and performance benchmarks.
- Translating specific sections of a document, such as the Introduction or Experimental results, on demand.
How Academic Translator & Research Assistant Works
- The agent ingests content by either fetching data from an ArXiv URL/ID or extracting text from a local PDF upload.
- It processes the document using specialized scripts to extract metadata like authors, abstracts, and page-by-page content.
- For translation tasks, the agent applies professional academic guidelines, ensuring terminology consistency and formal tone.
- If a user asks a question, the agent first searches the extracted paper text and then supplements findings with a web search for broader context.
- It maintains a stateful conversation by storing metadata and extracted text in a temporary workspace, allowing for multi-turn research without re-processing files.
Academic Translator & Research Assistant Setup
To utilize this skill, ensure your Openclaw environment is active and the necessary python scripts are accessible in the skill directory. No additional external API keys are required beyond the standard LLM configuration.
source /home/kjp/.openclaw/workspace/.venv/bin/activate
# The agent will automatically call fetch_arxiv.py or extract_pdf.py as needed.
Academic Translator & Research Assistant Data Schema & Taxonomy
The skill manages persistent session data within the /tmp/academic_papers/ directory to facilitate multi-turn analysis without redundant extraction.
| File Path | Description |
|---|---|
/tmp/academic_papers/current_paper.json |
Stores active paper metadata (title, authors, source ID). |
/tmp/academic_papers/current_text.txt |
Contains the full extracted text of the current document. |
/tmp/arxiv_papers/ |
Default download location for PDF binaries fetched from ArXiv. |
Academic Translator & Research Assistant Advanced Features
- Sub-agent support via sessions_spawn to handle lengthy full-paper translations without blocking the main interaction thread.
- Proactive web search integration to explain cutting-edge concepts or locate relevant GitHub implementation details.
- Automated batch processing for documents exceeding 30 pages to maintain context window efficiency.
- Strict mathematical notation preservation to ensure LaTeX formulas remain functional and accurate during translation.
- Cross-paper comparison logic to analyze similarities and differences between different research entries.
SKILL.md
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