idea-ingest

Ingest shared links and ideas into searchable, cited brain pages.

1|Updated May 9, 2026
One-click install
npx skills add https://github.com/weiping/gbrain-cn --skill idea-ingest-weiping
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-ingest
Source: https://github.com/weiping/gbrain-cn/tree/main/skills/idea-ingest
Command: npx skills add https://github.com/weiping/gbrain-cn --skill idea-ingest-weiping

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents valuable links and ideas from becoming lost fragments by converting them into well-analyzed, cross-linked brain pages you can query later.

Core Features & Use Cases

  • Content ingestion with provenance: Fetches content from links or user-provided items, uploads raw source for traceability, and preserves citations using an inline Source format.
  • Author-first knowledge organization: Creates or updates a mandatory author “people” page for anyone worth tracking, then cross-links source ↔ author.
  • Brain-graph cross-linking and filing rules: Files items by primary subject into people/companies/concepts/sources and creates bidirectional links to mentioned entities.

Quick Start

Use the idea-ingest skill when you share a URL so it fetches the content, files it into the brain with analysis and citations, and cross-links it to the author and relevant entities.

Frequently Asked Questions about idea-ingest

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

FAQPage Schema
How do I save links and ideas into a searchable knowledge graph with provenance?

To save links into a knowledge graph with provenance, you ingest shared URLs to fetch content, upload raw sources for traceability, and file them as cited brain pages. This process preserves original citations and cross-links items to relevant authors and entities.

What is the best way to organize ingested content by author in a knowledge graph?

Organizing ingested content by author requires creating or updating a mandatory author people page for each source. This author-first approach cross-links the source directly with the author and files items by primary subject into people, companies, or concepts.

How does content synthesis with citation-backed provenance work?

Citation-backed content synthesis works by fetching raw source material and preserving inline Source citations during analysis. Instead of generating a summary-only output, it converts links into well-analyzed, cross-linked brain pages that maintain full traceability to the original text.

Can I ingest tweets and articles and convert them into cross-linked knowledge pages?

Yes, you can ingest tweets and articles by providing their links. The system fetches the content, uploads the raw source, and converts the links into cross-linked knowledge pages filed under primary subjects with bidirectional links to mentioned entities.

Do I need to manually create author pages before ingesting a new source?

No, you do not need to manually create author pages before ingesting a source. The process automatically creates or updates a mandatory author people page for anyone worth tracking and establishes bidirectional links between the source and the author.