article-enrichment

Name: article-enrichment
Availability: InStock
Author: Nina

Transform raw article text dumps into structured brain pages with summaries and quotes.

Updated Jun 2, 2026

Search Tags:#summarization #markdown #synthesis #knowledge-management #enrichment #brain-pages

Ready to run

npx skills add https://github.com/Ninatuzi/gbrain --skill article-enrichment-ninatuzi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: article-enrichment
Source: https://github.com/Ninatuzi/gbrain/tree/main/skills/article-enrichment
Command: npx skills add https://github.com/Ninatuzi/gbrain --skill article-enrichment-ninatuzi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of information overload by converting raw, unformatted article text dumps into highly structured, actionable brain pages that are easy to reference and synthesize.

Core Features & Use Cases

Structured Synthesis: Automatically generates executive summaries, key insights, and verbatim quotes from raw text.
Contextual Grounding: Connects article content to your existing brain context to explain why specific information matters to your projects.
Use Case: When you ingest a long, messy article dump into your brain, this skill cleans it up, adds back-links to relevant people or companies, and ensures the content is actually useful for future retrieval.

Quick Start

Ask the agent to enrich the article page located at media/articles/example-slug to transform the raw content into a structured brain page.

Frequently Asked Questions about article-enrichment

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

FAQPage Schema

How do I convert raw article text dumps into structured markdown insights?▼

To convert raw article text dumps into structured markdown insights, the Skill parses unformatted content to automatically generate executive summaries, verbatim quotes, and key insights for actionable brain pages.

What is the best way to summarize articles for knowledge management?▼

Summarizing articles for knowledge management involves transforming raw text into structured brain pages that enhance graph connectivity, adding back-links to relevant entities, and enforcing citation conventions for future retrieval.

How do I enrich article pages in the media/articles directory?▼

To enrich article pages in the media/articles directory, you ask the agent to process the specific page path, which triggers LLM-based parsing to extract entities and synthesize the unformatted text.

Can I connect ingested article content to my existing brain context?▼

Yes, you can connect ingested article content to your existing brain context by grounding the synthesized information, which explains why specific details matter to your projects and adds relevant back-links.

Does article enrichment require LLM-based parsing for entity extraction?▼

Yes, article enrichment requires LLM-based parsing because the system relies on language models to extract entities, generate contextual summaries, and enforce strict citation conventions from unformatted text dumps.

What limitations exist when transforming unformatted article dumps into brain pages?▼

A limitation when transforming unformatted article dumps is that the Skill specifically operates on article pages within the media/articles directory, requiring raw text to be ingested into this path before structured synthesis can occur.