entity-materialization

Extract operational state from captured entities and update entity properties.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/deachne/BizzyForge --skill entity-materialization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: entity-materialization
Source: https://github.com/deachne/BizzyForge/tree/main/.claude/skills/entity-materialization
Command: npx skills add https://github.com/deachne/BizzyForge --skill entity-materialization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Rules for extracting operational state from captures and updating entity properties. Use when working on capture processing, entity extraction, property updates, or materialization logic.

Core Features & Use Cases

  • Transform extracted entity mentions into operational state updates in entities.properties.
  • Link extracted entities to canonical records and apply materialization logic to update system state.
  • Works across farm, financial, and personal context domains through defined prompts and extraction rules.
  • Example scenario: from a capture, update a Field's operational state and linked equipment/entity properties.

Quick Start

Process a capture containing Field 7 and Roundup to immediately update the corresponding entity states.

Frequently Asked Questions about entity-materialization

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

FAQPage Schema
How do I update entity properties from extracted capture data?

You update entity properties by extracting operational state from captured entities and applying materialization logic to write updates into entities.properties. The Skill links extracted mentions to canonical records and preserves provenance for every state update.

What is entity materialization in capture processing?

Entity materialization in capture processing is the deterministic transformation of extracted entity mentions into live operational state updates. It applies during AI-based entity extraction and linkage to canonical records to keep system state synchronized with captured data.

Can I use this entity state update logic for financial and farm contexts?

Yes, this entity state update logic works across farm, financial, and personal contexts. It uses defined extraction prompts and linkage rules to update operational states and linked entity properties across these domains.

How does deterministic materialization preserve provenance for entity updates?

Deterministic materialization preserves provenance by applying structured materializer and linker rules to extract state and update entities.properties. It ensures every property modification is traced back to its source capture and linked canonical record.

Do I need canonical records to link extracted entities during property updates?

Yes, linking extracted entities to canonical records is required for property updates. The materialization logic relies on these linkages to accurately apply operational state updates in entities.properties.