A specialized AI tool designed to transform rough research drafts into publication-ready manuscripts for top-tier computer science conferences.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install academic-writing-refiner
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-refiner 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 Refiner is a sophisticated utility within the Openclaw Skills ecosystem tailored specifically for computer science researchers and academics. It focuses on converting rough or intermediate drafts into clear, precise, and high-impact prose suitable for prestigious venues like NeurIPS, ICML, CVPR, and ACL. By prioritizing clarity over cleverness and economy over verbosity, the skill ensures that complex technical ideas are communicated efficiently to reviewers and the broader scientific community.
Whether you are preparing a first draft or finalizing a camera-ready version, this skill integrates seamlessly into your research workflow. It understands the nuances of different paper sections—from the abstract to the methodology—and adapts its refinement strategy based on the specific requirements of the target conference, making it an essential addition to your collection of Openclaw Skills.
To install the Academic Writing Refiner as part of your Openclaw Skills library, follow these steps:
# Clone the repository containing the skill
git clone https://github.com/openclaw/skills-registry.git
# Copy the academic-writing-refiner directory to your agent's skills path
cp -r skills-registry/academic-writing-refiner ~/.openclaw/skills/
# Refresh your AI agent to recognize the new skill
openclaw skills reload
| Component | Description | Format |
|---|---|---|
| Input Prose | Raw text or LaTeX source of the research paper. | Plain Text / .tex |
| Metadata | Inferred venue (e.g., CVPR, ACL) and section type. | Key-Value Pairs |
| Refined Output | Polished version of the input preserving original formatting. | Markdown / LaTeX |
| Marginal Notes | Explanations for specific editorial choices and restructuring. | Sidebar / Comments |
| Flagged Issues | List of missing citations, unclear details, or factual concerns. | Unordered List |
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