mh-lw-source-ingestor

Automate source ingestion into domain wikis and update pages, index, and log.

2|Updated Apr 5, 2026

Search Tags:#knowledge base #knowledge integration #source ingestion #wiki management #wiki automation

Ready to run

npx skills add https://github.com/Imad-Oute/MicroHard --skill mh-lw-source-ingestor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mh-lw-source-ingestor
Source: https://github.com/Imad-Oute/MicroHard/tree/main/src/modules/lw/2-ingest/mh-lw-source-ingestor
Command: npx skills add https://github.com/Imad-Oute/MicroHard --skill mh-lw-source-ingestor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, numpy, pandas, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of integrating new sources into domain wikis, saving time and ensuring consistency in knowledge management.

Core Features & Use Cases

Source Ingestion: Automates the reading, discussion, and integration of various types of sources (articles, chapters, transcripts, documents) into domain wikis.
Multi-Modal: Supports different source types with specific processing modes.
Wiki Update: Updates all affected wiki pages, index, and log upon ingestion.
Use Case: Use this Skill to ingest a new research paper into your domain wiki, ensuring that the paper's key points, concepts, and references are properly integrated.

Quick Start

Run the ingestor for a new source by providing the domain name, source content, and source type: /mh-lw-source-ingestor --domain <domain> --content <content> --type <type>

Frequently Asked Questions about mh-lw-source-ingestor

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

FAQPage Schema

How do I automate knowledge integration into a domain wiki?▼

Source ingestion for wiki management works by reading provided source content, discussing its key concepts, and then automatically updating the corresponding wiki pages, index, and log to integrate the new information.

Can I ingest different source types like articles and transcripts into my wiki?▼

You can ingest various source types including articles, chapters, transcripts, and documents. The system applies specific processing modes for each source type to properly extract and integrate content into your wiki pages.

What Python libraries do I need for source ingestion into wiki pages?▼

Source ingestion requires Python along with the numpy, pandas, and requests libraries. These dependencies support processing various source types and managing the content before updating your domain wiki pages.

How do I ingest a research paper into my domain wiki?▼

Ingest a research paper by running the ingestor with the domain name, source content, and source type parameters. The tool reads the paper, extracts key points and references, and integrates them into your wiki pages and index.

Does automated wiki management update the index and log automatically?▼

Automated wiki management updates the index and log automatically upon ingestion. When a new source is integrated into the wiki pages, the system simultaneously refreshes the index and appends to the log for consistent tracking.

What are the limitations of using Python for wiki source ingestion?▼

Using Python for wiki source ingestion requires strict dependency management, specifically needing numpy, pandas, and requests installed. Without these exact libraries, the multi-modal processing of different source types cannot execute successfully.