wiki-ingest-external-docs
OfficialAutomate external document ingestion into the LLM-Wiki, enhance knowledge base.
Software Engineering#knowledge base#metadata extraction#document ingestion#LLM-Wiki#content addressing
Authorthisisqubika
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the ingestion of external documents into the LLM-Wiki, ensuring that the knowledge base is continuously updated and enriched with external information.
Core Features & Use Cases
- External Document Ingestion: Automates the process of ingesting documents like PDFs, DOCX, HTML, and more into the LLM-Wiki.
- Content Addressing: Utilizes SHA-256 for content addressing to ensure immutability and deduplication.
- Metadata Extraction: Extracts metadata such as subject, service, and authoritativeness to enrich the knowledge base.
- Use Case: For a software development team, this Skill can automatically ingest technical specifications and documentation, keeping the team's knowledge base up-to-date.
Quick Start
Use the wiki-ingest-external-docs skill to ingest a new document 'new-spec.pdf' into the LLM-Wiki.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: wiki-ingest-external-docs Download link: https://github.com/thisisqubika/ai-mast-challenge-promptazo/archive/main.zip#wiki-ingest-external-docs Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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