paperforge
CommunityTri-model paper reading, synthesized insights
AuthorNitrogen216
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Paperforge enables researchers to rapidly understand academic papers by running three AI models in parallel and synthesizing their outputs into a single, coherent English report.
Core Features & Use Cases
- Parallel tri-model analysis: Three models (ChatGPT via Oracle, Gemini, Claude) evaluate the same paper concurrently to produce diverse perspectives.
- Structured synthesis: The output is a synthesized report with consensus scores and actionable takeaways.
- Use Case: Ideal for quick triage of new papers across ML, theory, systems, surveys, or HCI, especially when time is limited.
Quick Start
Ask Paperforge to read this paper and generate a triangulated summary.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: paperforge Download link: https://github.com/Nitrogen216/paperforge/archive/main.zip#paperforge Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.