literature-workflow

Organize local academic PDFs and generate scoped survey manifests.

20|Updated May 26, 2026
One-click install
npx skills add https://github.com/hwang847/codex-paper-reader --skill literature-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: literature-workflow
Source: https://github.com/hwang847/codex-paper-reader/tree/main
Command: npx skills add https://github.com/hwang847/codex-paper-reader --skill literature-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, PyMuPDF, Pillow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the fragmentation of academic research by bridging the gap between local PDF files and AI-assisted synthesis, eliminating the need for manual file renaming, indexing, or registry maintenance.

Core Features & Use Cases

  • Intelligent Paper Management: Automatically identifies, renames, and categorizes local PDFs based on their content, not just filenames.
  • Contextual Synthesis: Generates concise HTML notes and scoped survey manifests that link directly to your local source documents.
  • Cloud Integration: Securely deposits research artifacts into Feishu/Lark only when explicitly requested, maintaining local control.

Quick Start

Use the literature-workflow skill to set up the current folder as a research workspace and index all existing papers.

Frequently Asked Questions about literature-workflow

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

FAQPage Schema
How do I automate indexing and organizing local academic PDFs for a literature review?

Automate local academic literature indexing by using content-based identification to rename, categorize, and index PDFs without manual file management. This bridges local documents and AI-assisted synthesis, eliminating research fragmentation.

Can I generate a scoped survey manifest from my local research papers?

Yes, you can generate scoped survey manifests and concise HTML notes from local research papers. This contextual synthesis links directly to your local source documents to create an organized research workspace.

Do I need Python 3.9+ and specific dependencies to extract text from PDF files?

Yes, extracting text from local PDF files requires Python 3.9+ along with standard PDF text extraction tools like pypdf, PyMuPDF, and Pillow. These dependencies enable local document processing and content identification.

How does cloud integration work when depositing research artifacts to Feishu or Lark?

Cloud integration securely deposits research artifacts into Feishu or Lark only when explicitly requested, maintaining local control over your documents. Artifacts are handed off securely without automatic cloud syncing.

What is the best way to set up a research workspace for existing academic literature?

The best way to set up a research workspace is to initialize the current folder, which automatically indexes all existing papers. This process identifies and categorizes local PDFs based on their content rather than filenames.