SINGULARITY-MBP-DATAWEAVE

Community

Transforms 183+ tables into graph-ready data.

Authorfatcrapinmybutt
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Data provenance and complexity from large litigation data sources are hard to convert into a usable graph representation. SINGULARITY-MBP-DATAWEAVE provides a deterministic pipeline that ingests a multi-table SQLite/DuckDB-backed dataset and outputs a structured, graph-ready format with typed nodes and relationships, enabling advanced graph analytics and visualization.

Core Features & Use Cases

  • End-to-end graph construction: Converts 183+ tables into a 13-layer graph with nodes and links, including quality gates and delta updates.
  • Integrated analytics stack: Leverages SQLite, DuckDB, LanceDB, Polars, and FTS5 to support analytics, vector enrichment, and fast search over large datasets.
  • Export-ready outputs: Produces graph representations suitable for Neo4j, GraphML, and D3 JSON exports for downstream visualization and exploration.
  • Use Case: A litigation research team ingests a patent/claims context database and rapidly derives an interconnected graph for evidence tracking, entity resolution, and timeline analysis.

Quick Start

Run the DataWeave pipeline to transform the litigation_context.db into a graph-ready dataset.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: SINGULARITY-MBP-DATAWEAVE
Download link: https://github.com/fatcrapinmybutt/cortex-osint/archive/main.zip#singularity-mbp-dataweave

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