inbox-parser

Extract and classify PDF papers from inbox/ into literature/papers/ and bibliography.bib.

3|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/RamanEbrahimi/raman-marketplace --skill inbox-parser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inbox-parser
Source: https://github.com/RamanEbrahimi/raman-marketplace/tree/main/plugins/agentic-research/skills/inbox-parser
Command: npx skills add https://github.com/RamanEbrahimi/raman-marketplace --skill inbox-parser

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Manages the workflow of extracting, classifying, and integrating PDF papers from the project inbox into the literature pipeline, ensuring that all locally stored papers are incorporated efficiently.

Core Features & Use Cases

  • PDF Extraction: Automatically extract text and metadata from PDF papers.
  • Classification: Classify papers against the active literature map.
  • Integration: File papers into the project's literature pipeline for use by downstream agents.
  • Use Case: Before a literature or ideation pass, use this skill to incorporate locally stored papers into the project's knowledge base.

Quick Start

Activate the 'inbox-parser' skill to process new PDFs in the 'inbox/' folder.

Frequently Asked Questions about inbox-parser

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

FAQPage Schema
What is the best way to extract text and metadata from PDF papers for a literature pipeline?

Extracting text and metadata from PDF papers is done by processing files placed in a specified 'inbox/' directory. The system parses the content, classifies it against an active literature map, and outputs the structured data into 'literature/papers/' and 'literature/bibliography.bib'.

How do I integrate locally stored PDF files into a project bibliography?

You can integrate locally stored PDF files by placing them in the 'inbox/' directory and activating the extraction process. The system automatically extracts text, classifies the papers, and moves the structured outputs to 'literature/papers/' and 'literature/bibliography.bib'.

How does PDF paper classification against an active literature map work?

Classification works by parsing extracted text and metadata from new PDF documents, then comparing those features against your project's active literature map. This categorizes the incoming papers so they can be filed correctly into the literature pipeline for downstream use.

Do I need a specific directory structure to parse PDF papers for literature management?

Yes, a specific structured directory environment is required. The workflow expects incoming PDFs in an 'inbox/' folder and outputs the extracted text, metadata, and classification data directly into 'literature/papers/' and 'literature/bibliography.bib'.

When should I run PDF text extraction for my research project?

You should run PDF text extraction before starting a literature review or ideation pass. Activating the parser ensures all newly downloaded papers in your inbox are incorporated into the project's knowledge base and are fully prepared for downstream analysis.