ingest

Compile raw documents and transcripts into structured knowledge articles.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/ysgdepaula/x-deep-os --skill ingest-ysgdepaula
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/ysgdepaula/x-deep-os/tree/main/.claude/skills/ingest
Command: npx skills add https://github.com/ysgdepaula/x-deep-os --skill ingest-ysgdepaula

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the transformation of raw sources into structured, immediately accessible knowledge, removing manual curation bottlenecks and accelerating knowledge circulation.

Core Features & Use Cases

  • Source → compile → health check → available: end-to-end pipeline that ingests documents, transcripts, corrections, and decisions, preserving provenance and metadata.
  • Deterministic compilation: converts raw inputs into ready-to-use articles with traceable sources and consistent structure.
  • Use Case: a team uploads a PDF or chat transcript and receives a compiled knowledge article with sources and health status.

Quick Start

Ingest a source to compile it into a live knowledge article.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I turn raw documents and transcripts into structured knowledge articles?

To turn raw documents and transcripts into structured knowledge articles, use an automated ingestion pipeline that compiles sources with deterministic structuring, preserving provenance and applying health checks for immediate accessibility.

What is source provenance and traceability in knowledge assembly?

Source provenance and traceability in knowledge assembly ensure every compiled article preserves its original raw inputs and metadata, allowing users to verify information origins and maintain strict frontmatter standards.

How do I compile raw PDFs and chat transcripts into ready-to-use articles?

Compile raw PDFs and chat transcripts into ready-to-use articles by uploading them to an ingestion pipeline that performs deterministic compilation, outputs structured knowledge, and runs a health check.

Does knowledge assembly work with screenshots and diverse input formats?

Knowledge assembly works with diverse inputs including screenshots, documents, and transcripts, transforming them into structured knowledge articles while requiring strict frontmatter metadata for traceable compilation.

What is the best way to automate knowledge curation from raw sources?

The best way to automate knowledge curation from raw sources is deploying an end-to-end pipeline that handles source ingestion, deterministic compilation, and health checks, eliminating manual curation bottlenecks.

Why does compiled knowledge require strict frontmatter metadata?

Compiled knowledge requires strict frontmatter metadata to guarantee traceable compilation, preserve raw source provenance, and ensure the health check validates article availability instantly.