research-processing

Normalize external sources, extract insights, assign topics, and write entries to datasets/research/{topic}/.

1|2|Updated Dec 3, 2025
One-click install
npx skills add https://github.com/jayhjenkins/ProductOSv0.2 --skill research-processing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-processing
Source: https://github.com/jayhjenkins/ProductOSv0.2/tree/main/.claude/skills/workflows/research-processing
Command: npx skills add https://github.com/jayhjenkins/ProductOSv0.2 --skill research-processing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you add external sources to a structured research library by normalizing input formats, extracting key insights, assigning topics, validating data integrity, and writing entries to datasets/research/{topic}/.

Core Features & Use Cases

  • Normalize source formats (URL, file, or note) for consistent cataloging.
  • Extract metadata and key insights, and classify sources by topic.
  • Validate integrity and write to datasets/research/{topic}/ for organized retrieval.
  • Use Case: You’ve gathered a URL and a PDF; this skill standardizes metadata, derives insights, assigns a topic like 'market-analysis', and stores it in the correct library folder for later strategy sessions.

Quick Start

Use the research-processing skill to add an article URL to your research library, e.g. /research:process-source --url='https://example.com/article' --topic='market-analysis'

Frequently Asked Questions about research-processing

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

FAQPage Schema
How do I normalize external research sources for a structured library?

Source normalization standardizes URLs, local files, and notes into consistent metadata for your research library. It standardizes disparate inputs to ensure uniform cataloging across your library.

Can I extract insights and assign topics to articles automatically?

Yes, the skill automatically extracts key insights from content and classifies sources by topic. It assigns topics like 'market-analysis' to support literature reviews and topic mapping during retrieval.

How do I add a URL to my research library for a literature review?

Use the process-source command with the target URL and a specified topic. The skill extracts metadata, validates data integrity, and writes the structured entry to datasets/research/{topic}/ for retrieval.

Does this research cataloging tool support local files and notes?

Yes, the skill supports local files and notes alongside URLs. It normalizes all supported input types, extracts metadata, and writes entries to structured datasets/research/{topic}/ directories.

What is data integrity validation in research library management?

Data integrity validation verifies the accuracy and consistency of extracted metadata and source content. The skill performs integrity verification steps before writing entries to your research datasets.

What are the limitations of automated topic assignment for research sources?

A limitation of automated topic assignment is its reliance on the normalization and content extraction steps. If source content is inaccessible or poorly structured, the accuracy of topic classification and insight derivation decreases.