ingest

Parse inbound content and route it into brain pages with citations and back-links.

Updated May 4, 2026
One-click install
npx skills add https://github.com/Postergully/11mirror-plugin --skill ingest-postergully
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/Postergully/11mirror-plugin/tree/main/skills/ingest
Command: npx skills add https://github.com/Postergully/11mirror-plugin --skill ingest-postergully

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The ingest skill routes inbound content (meetings, articles, media, documents, and conversations) into the brain with proper citations, back-links, and filing rules.

Core Features & Use Cases

  • Parse and classify inbound content to extract people, companies, concepts, dates, and events.
  • Create or update brain pages, add timeline entries, and enforce provenance through inline citations.
  • Enforce back-links (Iron Law) by linking mentions to their respective pages and generating cross-references.

Quick Start

Ingest the provided content into the brain with citations and back-links.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I automatically extract entities and file documents into a knowledge base with citations?

To extract entities and file documents with citations, you can parse and route inbound content into the brain, automatically classifying people, companies, and concepts while enforcing inline citations and raw-source preservation.

What is the best way to create back-links for meeting transcripts and conversations?

Creating back-links for meeting transcripts involves linking extracted mentions to their respective brain pages and generating cross-references, enforcing an Iron Law of provenance and accountability for all conversations.

Can I ingest media and articles while preserving their raw source?

Yes, you can ingest media and articles while preserving their raw source, as the ingestion process enforces raw-source preservation to ensure full provenance and accountability for all routed content.

How do I add timeline entries when parsing inbound documents and events?

To add timeline entries when parsing inbound documents, the ingestion process extracts dates and events from the content, creating or updating brain pages and attaching timeline entries as needed.

Does the content ingestion process support meeting notes and conversations?

Yes, the content ingestion process supports meeting notes and conversations, parsing and classifying these inputs to extract entities, enforce citations, and route the data into the brain.

Why does my content ingestion not maintain proper provenance and accountability?

Content ingestion fails to maintain provenance when inline citations and back-links are not enforced; applying strict filing rules and raw-source preservation ensures accountability for all parsed documents.