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corpus-ingest

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Route sources into a central Lorekit corpus.

Content & Communication#backlinks#archival#document ingestion#URL fetching#knowledge-base#wiki compilation#lorekit
AuthorGYF0311
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: corpus-ingest
Download link: https://github.com/GYF0311/lorekit/archive/main.zip#corpus-ingest

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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