ingest

Parse inbound content and route it into the brain with entity detection and provenance.

174|144|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/inbrainfun/inbrain --skill ingest-inbrainfun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/inbrainfun/inbrain/tree/main/skills/ingest
Command: npx skills add https://github.com/inbrainfun/inbrain --skill ingest-inbrainfun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ingest Skill routes content (meetings, articles, media, documents, and conversations) into the brain with automatic entity detection, cross-linking, and provenance.

Core Features & Use Cases

  • Router for ingestion: parse sources, detect entities, link pages, and update timelines.
  • Enforces provenance: inline citations, back-links, and raw source preservation.
  • Flexible routing: handles meetings, articles, media, and conversations with consistent filing rules.

Quick Start

Say 'ingest this meeting' to route content into the brain using the Ingest Skill.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I automatically route inbound content with entity detection and provenance?

To route inbound content with entity detection and provenance, you can use an automated ingestion router to parse sources, detect notable entities, create cross-linked pages, and update timelines while enforcing mandatory citations and preserving raw source data.

What is the best way to ingest meeting notes and articles into a knowledge base with backlinks?

The best way to ingest meeting notes and articles with backlinks is to use an automated filing workflow that applies consistent routing rules, generates cross-links between detected entities, and enforces inline citations for every inbound item.

Can I apply consistent filing rules to conversations and media files?

Yes, you can apply consistent filing rules to conversations and media files. The ingestion router handles various inbound formats uniformly by detecting entities, updating timelines, and preserving raw sources across all content types.

How do I enforce mandatory citations and raw source preservation when processing inbound documents?

You can enforce mandatory citations and raw source preservation during automated content ingestion by configuring a router-like workflow that requires provenance tracking, generates back-links, and stores original source data alongside extracted entities.

Does automated content ingestion work with timeline updates and cross-linking for notable entities?

Yes, automated content ingestion works with timeline updates and cross-linking. The parsing process automatically identifies notable entities, creates dedicated pages for them, establishes cross-links, and integrates the information into existing timelines.

How do I configure a router-like workflow for content ingestion using frontmatter?

You can configure a router-like workflow for content ingestion by defining filing rules and routing logic through frontmatter configuration and agent calls, allowing the system to automatically parse and process inbound items.