Agent skill

paper-parse-guide

Deep dual-mode reading of academic papers from PDF or URL sources

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill paper-parse-guide --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/tools/document/paper-parse-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Paper Parse Guide Perform structured, dual-mode deep reading of academic papers from PDF files or URLs. Mode A provides a rapid overview suitable for screening during literature reviews. Mode B delivers exhaustive section-by-section analysis for papers central to your research. ## Overview Reading academic papers efficiently is a core research skill, yet the density and conventions of scholarly writing make it time-consuming. A typical researcher reads dozens of papers per week during a literature review phase, requiring different levels of depth for different papers. Some need only a quick scan to determine relevance; others demand line-by-line scrutiny of methods and results. This skill implements a dual-mode reading system. Mode A (Survey Mode) extracts key metadata, the main argument, methods summary, and key findings in under two minutes of processing time. Mode B (Deep Analysis Mode) performs exhaustive section-by-section analysis including methodology critique, statistical evaluation, figure interpretation, and connection to broader literature. Both modes begin by parsing the paper's structure from its PDF or HTML source, extracting clean text with section boundaries, figu

What's inside
Steps it walks through
  1. Overview
  2. Paper Acquisition and Parsing
  3. Input Sources
  4. PDF Parsing Pipeline
  5. GROBID Integration
  6. Mode A: Survey Reading
  7. 1. Identity Card
  8. 2. Core Argument (1-2 sentences)
  9. 3. Methods Snapshot
  10. 4. Key Findings (3-5 bullets)
  11. 5. Relevance Assessment
  12. Mode B: Deep Analysis
  13. Introduction Analysis
  14. Literature Review Evaluation
Commands it runs
Start GROBID server
docker run --rm -p 8070:8070 lfoppiano/grobid:0.8.0
Parse a paper
curl -X POST "http://localhost:8070/api/processFulltextDocument" \
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About this skill
What does the paper-parse-guide skill do?

Deep dual-mode reading of academic papers from PDF or URL sources

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill paper-parse-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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