What problem does it solve?
This Skill automates the structured saving of research, investigation, and discussion content from conversations into the Supabase research_items table, preventing data loss and ensuring easy retrieval.
Core Features & Use Cases
- Structured Data Storage: Saves conversationally derived research into a Supabase table with fields like
title, summary, facts, insights, and raw_content.
- Sub-Agent Delegation: Offloads heavy processing (analysis, structuring, INSERT) to a dedicated
research-save-analyzer sub-agent, optimizing main agent performance.
- Duplicate Prevention: Utilizes
content_hash to avoid saving identical research items.
- Use Case: After a team meeting discussing market research, use this skill to automatically save the key findings, data points, and insights into your central knowledge base without manual copy-pasting.
Quick Start
Use the research-save skill to save the discussion about the new marketing strategy.