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ingest

Extract and structure raw content into knowledge nodes with frontmatter for Context OS domains.

104|31|Updated Dec 10, 2025
Search Tags:#content analysis#content processing#structured knowledge#knowledge node creation#context os
One-click install
npx skills add https://github.com/jacob-dietle/context-os --skill ingest-jacob-dietle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/jacob-dietle/context-os/tree/main/.claude/skills/ingest
Command: npx skills add https://github.com/jacob-dietle/context-os --skill ingest-jacob-dietle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) components.

What problem does it solve?

This Skill solves the challenge of converting unstructured raw content into structured knowledge nodes, which are essential for building a Context OS.

Core Features & Use Cases

  • Content Analysis: Automatically analyze transcripts, documents, notes, and current conversations to extract concepts.
  • Node Creation: Generate knowledge nodes with complete frontmatter, including tags and relationships.
  • Domain Routing: Route each node to the correct knowledge_base/ domain based on content type.
  • Use Case: When you have a large amount of raw content and need to quickly structure it for further analysis or inclusion in a knowledge graph.

Quick Start

Use the ingest skill to process the content of the file 'meeting_notes.md' into knowledge nodes.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I convert unstructured raw content into structured knowledge nodes?▼

You convert raw content into structured knowledge nodes by using the ingest skill to analyze documents, generate frontmatter with tags and relationships, and route nodes to appropriate knowledge_base domains.

What is the best way to process meeting notes into a knowledge graph?▼

The best way to process meeting notes for a knowledge graph is extracting concepts and generating structured knowledge nodes with frontmatter, tags, and relationships that route to specific knowledge_base domains.

Do I need Python to analyze documents and create knowledge nodes?▼

Yes, Python is required to analyze documents and create knowledge nodes because the ingest skill utilizes Python scripts for processing raw content and extracting structured concepts.

Can I use content analysis scripts to route transcripts to specific knowledge domains?▼

Yes, content analysis scripts can route transcripts to specific knowledge domains by analyzing the content type and directing generated knowledge nodes to the correct knowledge_base directory.

Does structured knowledge node creation work with current conversations and notes?▼

Structured knowledge node creation works with current conversations and notes by analyzing the text to extract concepts, establish relationships, and generate complete frontmatter for your Context OS.

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