ingest

Route and ingest diverse content into a gbrain instance with entity detection and citation preservation.

2|1|Updated Jun 16, 2026
One-click install
npx skills add https://github.com/bish-x/bx-gbrain --skill ingest-bish-x
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/bish-x/bx-gbrain/tree/main/skills/ingest
Command: npx skills add https://github.com/bish-x/bx-gbrain --skill ingest-bish-x

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The ingest skill streamlines the process of routing and ingesting diverse content like meetings, articles, media, and documents into your AI brain, enhancing your information processing capabilities.

Core Features & Use Cases

  • Content Routing: Directs various types of content to the appropriate specialized ingestion skills based on the input type.
  • Entity Detection: Automatically detects entities like people, companies, and dates, updating or creating brain pages as necessary.
  • Timeline and Linking: Ensures entities are properly linked across brain pages and that events are logged in timelines.
  • Citation Preservation: Captures source information for all facts, maintaining a clear record of information provenance.
  • Use Case: If you receive a document discussing a new product release, ingest will parse the document, create relevant brain pages, and link the entities discussed.

Quick Start

To ingest a new article, simply run: ingest this article.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I automate content ingestion into my AI brain from diverse sources?

Automating content ingestion into your AI brain involves routing diverse content types like meetings, articles, and documents to specialized processing skills that parse inputs and generate linked brain pages.

How does entity detection work when ingesting documents into an AI brain?

Entity detection during document ingestion automatically identifies people, companies, and dates, updating existing brain pages or creating new ones while logging events in timelines to link entities.

Can I preserve citation information when ingesting articles and media into my knowledge base?

Preserving citation information during content ingestion captures source details for all facts, maintaining a clear record of information provenance across your brain pages and timeline management.

Do I need a specific environment to route content and manage timelines for entity detection?

Routing content and managing timelines for entity detection requires access to a gbrain instance, which serves as the foundational environment for content management and brain page updates.

What is the best way to ingest a new article into my AI brain?

The best way to ingest a new article is to execute a direct command like `ingest this article`, which triggers automated content routing, entity detection, and brain page creation.

Are there limitations when routing diverse content types for AI brain ingestion?

Routing diverse content types for AI brain ingestion depends on specialized ingestion skills for each input format, meaning unsupported content types may not process correctly without a matching skill.