skills.rest
matanrak
matanrakCOMMUNITY
Explore all skills by this author →
GitHub

agentuidb

Extracts structured data from conversational text into typed collections using MCP tools.

1|Updated Feb 8, 2026
Search Tags:#structured data#data extraction#database#memory#conversation analysis#ai assistant
One-click install
npx skills add https://github.com/matanrak/agentuidb --skill agentuidb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agentuidb
Source: https://github.com/matanrak/agentuidb/tree/main
Command: npx skills add https://github.com/matanrak/agentuidb --skill agentuidb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires npx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the tedious process of manually extracting and organizing structured data from conversations, saving you time and ensuring data is always accessible.

Core Features & Use Cases

  • Silent Data Extraction: Automatically detects and stores discrete facts (meals, contacts, expenses, etc.) from any message without interrupting the user.
  • Schema Design & Evolution: Intelligently designs typed collections and adapts schemas as new data types emerge.
  • Use Case: Imagine you're chatting with an AI assistant about your day. This Skill ensures that mentions of your meals, workouts, or meetings are automatically saved into a structured database, ready for later review or analysis.

Quick Start

Use the agentuidb skill to scan the current message for storable structured data and save it silently.

Frequently Asked Questions about agentuidb

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

FAQPage Schema
How do I extract structured data from conversational text automatically?▼

To extract structured data from conversational text, this Skill scans messages for discrete facts and silently saves them into typed, queryable collections without interrupting your workflow.

What is the best way to turn chat conversations into a queryable database?▼

Turning chat conversations into a queryable database involves using MCP tools to store extracted facts into typed collections. This Skill handles schema design and temporal data backdating, making conversation history structured and accessible.

Do I need npx to run the agentuidb package for conversation analysis?▼

Yes, you need npx and the agentuidb npm package to run conversation analysis. These dependencies are required for the Skill to interface with MCP tools and manage database operations.

Can schemas evolve automatically when new data types emerge in conversations?▼

Schemas can evolve automatically as new data types emerge in conversations. The Skill intelligently designs typed collections and adapts its schema structure to accommodate multi-entity extraction without manual updates.

How does silent data extraction work without interrupting the AI assistant?▼

Silent data extraction works by automatically detecting discrete facts in messages and storing them without interrupting the user. The Skill scans for storable structured data and saves it directly to the database.

Related Skills

Explore More Product & Management Skills→
mindmorassmindmorass
2

video-upload-patterns

Automate video uploads to YouTube, TikTok, and Vimeo with metadata and scheduling.

Community
Advanced
shopsysshopsys
349

harvest-memory

Extract key learnings and architectural discoveries into a knowledge graph via Memory MCP tools.

Official
Intermediate
shobhit-16shobhit-16

conversation-ux

Integrate conversation UX patterns for AI chat interfaces with branching threads.

Community
Advanced
bloknayrbbloknayrb
2

memory-router

Route conversational data to SimpleMem or OpenMemory memory systems.

Community
Intermediate