K-Dense-AI/claude-scientific-writer is a versatile AI-powered tool designed to automate the creation of publication-ready scientific documents. It targets researchers, engineers, and academics by integrating deep, real-time literature research with structured writing, ensuring all claims are supported by verifiable sources. The project offers significant benefits by streamlining complex academic writing tasks, from initial research to final document formatting.

How It Works

The system leverages AI to perform comprehensive research using tools like Perplexity Sonar Pro Search before generating content. It combines this with intelligent document conversion and AI-powered diagram generation (Nano Banana Pro) to produce outputs such as scientific papers, grant proposals, and reports. This approach ensures factual accuracy and proper citation, a key advantage over traditional AI writing tools that may lack real-time research validation.

Quick Start & Requirements

• Installation: Recommended as a Claude Code Plugin. Alternatives include pip install scientific-writer or installation from source using uv.
• Prerequisites: Python 3.10-3.12, ANTHROPIC_API_KEY (required), OPENROUTER_API_KEY (optional).
• Documentation: Links to comprehensive user guides, API references, and troubleshooting are available within the README.
• Project Repository: https://github.com/K-Dense-AI/claude-scientific-writer

Highlighted Details

• Document Generation: Supports a wide range of academic outputs including Nature/Science papers, clinical reports, grant proposals (NSF, NIH, DOE), research posters (LaTeX), literature reviews, and scientific schematics.
• AI-Powered Capabilities: Features real-time literature search, AI diagram generation via Nano Banana Pro, intelligent paper detection, and quantitative peer review feedback using the ScholarEval framework.
• Data & File Integration: Automatically handles diverse data and document formats (CSV, XLSX, PDF, DOCX, etc.), converts them, manages bibliographies (BibTeX), and integrates figures seamlessly into outputs.
• Flexible Usage: Offers a recommended IDE-integrated Claude Code plugin, a programmatic Python API with async support, and a command-line interface (CLI).

Maintenance & Community

The project is actively maintained, with clear instructions for versioning and publishing using uv. Community support is available via a dedicated Slack channel, and users are encouraged to report issues on GitHub.

Licensing & Compatibility

The project is released under the MIT License, which permits broad use, modification, and distribution, including for commercial purposes and integration into closed-source applications.

Limitations & Caveats

The README does not explicitly detail known bugs or alpha status. However, it notes that advanced capabilities and enterprise solutions are available via www.k-dense.ai, suggesting potential feature differences between the open-source offering and commercial products. Reliance on external API keys (Anthropic, OpenRouter) implies associated costs and potential rate limits.