paper-reader

Convert academic papers into overview and deep-read Markdown files.

7|1|Updated Apr 1, 2026

Search Tags:#markdown #structured-output #paper-reading #self-check #academic-papers #knowledge-mapping

Ready to run

npx skills add https://github.com/gyy0592/claude-config --skill paper-reader-gyy0592

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paper-reader
Source: https://github.com/gyy0592/claude-config/tree/main/skills/paper-reader
Command: npx skills add https://github.com/gyy0592/claude-config --skill paper-reader-gyy0592

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reads academic papers end to end and outputs two structured Markdown files: a reader-friendly overview and a mathematically rigorous deep read.

Core Features & Use Cases

Eight-subskill orchestration (pdf-ingest, prereq-probe, paper-overview, contrib-extract, pipeline-walk, math-explain, zero-jump-check, concise-complete) to transform a paper into structured outputs.
Ensures fidelity to the source with per-chunk self-checks and knowledge-map tailored explanations.
Use case: researchers produce quick overviews and formal, citation-ready deep reads for publication or review.

Quick Start

Invoke with a user request to read a specified paper and produce the overview and the deep-read output.

Frequently Asked Questions about paper-reader

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert an academic paper into a structured Markdown summary?▼

To convert academic papers into structured Markdown, this skill ingests the document and outputs a reader-friendly overview alongside a mathematically rigorous deep read. It processes the paper end to end, ensuring fidelity through per-chunk self-checks and knowledge mapping.

Can I generate citation-ready deep reads directly from a PDF?▼

Yes, you can generate citation-ready deep reads from academic papers. The skill performs equation-aligned, image-grounded verification and runs a recursive self-check loop to ensure formal traceability and mathematical rigor for publication or review.

What is the best way to extract contributions and methodologies from research papers?▼

Extracting contributions and methodologies involves orchestrated sub-skills that probe prerequisites, walk pipelines, and explain math. This approach transforms the paper into structured outputs, mapping knowledge to ensure explanations are tailored and verified against the source.

How does knowledge mapping improve academic paper reading fidelity?▼

Knowledge mapping improves paper reading fidelity by aligning explanations to the document's specific equation numbers and images. It enforces a strict protocol with a recursive self-check loop, verifying each chunk to maintain traceability and prevent misinterpretation.

Are there limitations when processing complex mathematical papers for structured output?▼

When processing complex mathematical papers, the structured output relies on explicit triggers and eight sub-skills. While it enforces per-chunk self-checks and image-grounded verification, complex papers require strict alignment to equation numbers to maintain fidelity and avoid traceability issues.