FeijiangHan/PaperForge
An active paper-reading skill that reconstructs author reasoning, explains methods mechanistically, stress-tests assumptions, and generates follow-up research ideas.
What it solves
PaperForge provides a structured framework for reading and analyzing academic papers using LLMs. It moves beyond simple summarization by forcing the AI to reconstruct the author's reasoning process, identify fragile assumptions, and propose novel follow-up research ideas, helping researchers avoid superficial understanding.
How it works
The project consists of a set of system prompts and "Skills" (formatted for Claude/Codex) that guide an LLM through a 12-13 step analysis pipeline. When provided with a paper's link, title, or PDF, the LLM follows a specific sequence of tasks:
- Contextualization: Identifying the research problem and its importance.
- Reasoning Reconstruction: Simulating the author's intuition and inspiration based on existing knowledge rather than just stating the paper's claims.
- Mechanistic Explanation: Breaking down the method's intuition, pipeline (input/processing/output), and mathematical derivations.
- Critical Analysis: Stress-testing the paper's claims by identifying the most fragile assumptions and designing potential counter-examples.
- Future Work: Researching follow-up studies via search tools and proposing a novel, non-incremental research idea.
Who it’s for
Researchers, students, and academics (primarily in STEM fields) who want to deeply understand the methodology and theoretical foundations of academic papers rather than just reading a summary.
Highlights
- Reasoning Reconstruction: Focuses on how the author arrived at the idea, not just what the result was.
- Critical Stress-Testing: Specifically prompts the AI to find the weakest point of the paper and design a minimal reproduction experiment.
- Idea Generation: Encourages the generation of novel research directions based on identified limitations.
- Flexible Deployment: Available as a system prompt for ChatGPT/Claude or as a predefined Skill.
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