ollama-multi-model-writer
OfficialLocal AI for research paper drafting.
Authoraviskaar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables users to draft research paper sections entirely on their local GPU using Ollama, avoiding cloud API costs and ensuring data privacy. It intelligently routes different sections to specialized local models for optimal results.
Core Features & Use Cases
- Local LLM Integration: Leverages Ollama for offline AI model execution.
- Multi-Model Routing: Assigns sections (Methods, Results, Abstract, Intro, Conclusion) to the most suitable local model (DeepSeek-R1, Phi-4-reasoning, GLM-4.7-Flash).
- Structured Drafting: Follows a phased approach for reasoning, structuring, and synthesis.
- Use Case: A researcher wants to draft a paper on a new algorithm but needs to keep all experimental data and drafts offline. They activate this skill, provide their research idea, and receive a structured draft of their paper.
Quick Start
Use the ollama-multi-model-writer skill to draft the methodology section of a research paper based on the provided research idea.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ollama-multi-model-writer Download link: https://github.com/aviskaar/open-org/archive/main.zip#ollama-multi-model-writer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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