corpus-ingest

Route URLs, files, and pasted articles into a Lorekit knowledge base.

5|1|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/GYF0311/lorekit --skill corpus-ingest
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: corpus-ingest
Source: https://github.com/GYF0311/lorekit/tree/main/skills/corpus-ingest
Command: npx skills add https://github.com/GYF0311/lorekit --skill corpus-ingest

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

corpus-ingest solves the problem of turning scattered external inputs (URLs, files, pasted articles, and PDFs) into durable, cross-linked knowledge inside a central Lorekit corpus instead of leaving them as unstructured one-off notes.

Core Features & Use Cases

  • Centralized ingest routing: Accepts user-provided sources and delegates the actual filing and wiki compilation behavior to the corpus-local rules.
  • Controlled archive + wiki compilation: Fetches URL content via the configured lorekit binary, archives sources into the corpus raw layer, and compiles them into the knowledge layer with backlinks and ingest state tracking.
  • Safety-first handling: Preserves fetched slugs when rules allow, prevents deletion, avoids bypassing duplicate/in-progress states, and stops if the corpus cannot be written.

Quick Start

Tell your AI: ingest this URL into your default Lorekit corpus using corpus-ingest.

Frequently Asked Questions about corpus-ingest

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

FAQPage Schema
How do I ingest URLs and articles into a centralized knowledge base?▼

To ingest URLs and articles into a centralized knowledge base, you route external source inputs into a central Lorekit corpus where they are preserved immutably and compiled into cross-linked wiki pages.

What is the best way to archive external documents while preserving the original source material?▼

Archiving external documents while preserving source material is best handled by routing inputs into a corpus raw layer, enforcing safety constraints that fetch content immutably and prevent deletion of the original sources.

Can I compile pasted articles and PDFs into cross-linked wiki pages automatically?▼

Yes, you can compile pasted articles and PDFs into cross-linked wiki pages by running the wiki-ingest process, which applies corpus-specific filing rules to generate the structured knowledge layer.

Does corpus ingestion require reading specific configuration and filing rules before fetching?▼

Yes, document ingestion requires reading global-corpus configuration and corpus-local AGENTS or CLAUDE filing rules before fetching URL content to ensure sources are compiled correctly under specific constraints.

Why does the wiki-ingest process stop when the corpus cannot be written?▼

The wiki-ingest process stops when the corpus cannot be written to enforce safety constraints, preventing the bypassing of duplicate or in-progress ingest states and protecting the existing knowledge base.

What happens if I try to ingest a duplicate URL that is already in progress?▼

When ingesting a duplicate URL already in progress, the process avoids bypassing existing ingest states, stopping safely to preserve the current archival workflow and prevent duplicate source material compilation.