material_fetch

What problem does it solve?

The Skill automates the generation and vetting of relevant materials by using keyword templates to populate a memory pool, reducing manual curation and ensuring consistent inputs for downstream tasks.

Core Features & Use Cases

• Template-driven keyword generation from memory/keyword_templates.yaml to produce curated queries.
• Hard screening with filters.yaml to discard low-quality or irrelevant materials before review.
• LLM secondary review (locks outside) to assign fit scores and persist vetted results into memory.
• Scheduled ingestion and lifecycle management including state tracking and failure handling for robust operations.
• Use Case: In a life-simulation workspace, periodically fetch and seed memory with high-quality sources for later storytelling or reasoning.

Quick Start

Ensure the material_fetch.yaml trigger is enabled (every 6 hours) and that memory/keyword_templates.yaml is prepared, then start the fetch cycle.