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YesIamGodt
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data-pipeline

Ingest multimodal documents into a structured knowledge wiki with graph visualization.

38|12|Updated Apr 11, 2026
Search Tags:#knowledge-graph#document-ingestion#contradiction-detection#knowledge-wiki#multimodal-ingestion#cross-source-analysis
One-click install
npx skills add https://github.com/YesIamGodt/knowledge-pipline --skill data-pipeline-yesiamgodt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-pipeline
Source: https://github.com/YesIamGodt/knowledge-pipline/tree/main/packages/create-data-pipeline/skill
Command: npx skills add https://github.com/YesIamGodt/knowledge-pipline --skill data-pipeline-yesiamgodt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ingests documents from multiple modalities into a persistent structured knowledge wiki, enabling automatic knowledge fusion, cross-source contradiction detection, multi-source queries, and knowledge graph visualization.

Core Features & Use Cases

  • Multimodal ingestion: PDF, images, videos, Word, Excel, PPT, HTML, and more into wiki sources.
  • Knowledge fusion: new content merges with existing entity/concept pages instead of overwriting.
  • Active contradiction detection: automatically flags cross-source inconsistencies and preserves sources.
  • Cross-source aggregation and multi-view queries: compare perspectives from multiple sources and reveal consensus and disagreements.
  • Knowledge graph: automatically builds and visualizes an interactive graph of wiki pages.

Quick Start

Ingest a sample document to populate wiki sources and trigger initial knowledge graph construction.

Frequently Asked Questions about data-pipeline

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

FAQPage Schema
How do I ingest multimodal documents into a structured knowledge wiki?▼

To ingest multimodal documents into a knowledge wiki, this Skill processes PDFs, images, videos, Word, Excel, PPT, and HTML files into persistent, structured wiki sources with metadata frontmatter.

What is cross-source contradiction detection in a knowledge graph?▼

Cross-source contradiction detection automatically flags inconsistencies between ingested documents. It preserves original sources while merging new content into existing entity pages to highlight disagreements.

Can I merge new content with existing wiki pages without overwriting data?▼

Yes, knowledge fusion merges new content with existing entity and concept pages instead of overwriting them. This ensures previous data is preserved during multimodal document ingestion.

How do I visualize a knowledge graph from multiple ingested documents?▼

You can visualize a knowledge graph from ingested documents by using the automatic graph construction feature, which builds and displays an interactive graph of structured wiki pages.

Does this knowledge wiki support cross-source aggregation and multi-view queries?▼

Yes, cross-source aggregation supports multi-view queries to compare perspectives from multiple sources. This reveals consensus and disagreements across ingested multimodal documents.

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