memory-read

Name: memory-read
Availability: InStock
Author: iketomo

Searches past Supabase memory records using keywords, tags, categories, and vector similarity via SQL execution.

Updated Aug 23, 2026

Search Tags:#search #knowledge base #supabase #retrieval #memory #discussion history

Ready to run

npx skills add https://github.com/iketomo/cowork_x_plugin --skill memory-read

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-read
Source: https://github.com/iketomo/cowork_x_plugin/tree/main/work-utils/skills/memory-read
Command: npx skills add https://github.com/iketomo/cowork_x_plugin --skill memory-read

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill allows you to easily search and retrieve past discussions, insights, and design decisions stored in a long-term memory database, preventing redundant work and fostering knowledge sharing.

Core Features & Use Cases

Search Past Discussions: Find previous conversations and decisions related to specific topics.
Retrieve Knowledge: Access stored insights and design choices for reference.
Categorized & Tagged Search: Filter memories by category or tags for more precise retrieval.
Use Case: If you're about to start a new feature development, you can use this skill to search for "past design decisions for user authentication" to ensure you're not reinventing the wheel.

Quick Start

Use the memory-read skill to search for recent discussions about 'database schema changes'.

Frequently Asked Questions about memory-read

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

FAQPage Schema

How do I search past discussions and design decisions from a knowledge base?▼

You can search past discussions by querying a Supabase long-term memory table, filtering records through keywords, categories, tags, or embedding vector similarity to retrieve relevant design decisions.

Can I filter my Supabase memory records using tags and categories?▼

Yes, you can filter Supabase memory records by applying category filtering and tag-based filtering via SQL execution, allowing you to precisely retrieve past insights and stored discussions.

Does memory-read support embedding vector similarity search for retrieving knowledge?▼

Yes, memory-read supports embedding vector similarity search via SQL execution, enabling you to retrieve past discussions and knowledge from the Supabase database based on semantic relevance.

How do I retrieve recent records from a Supabase long-term memory table?▼

You can retrieve recent records by executing a search pattern within the Supabase long-term memory table that specifically targets and fetches the most recently stored discussions and insights.

What is the best way to prevent reinventing the wheel when starting new feature development?▼

The best way is to search a long-term memory database for past design decisions related to your feature topic, retrieving stored insights to prevent redundant work and foster knowledge sharing.

Do I need a Supabase database to search past discussion history?▼

Yes, you need a Supabase database configured with a long-term memory table, as this Skill relies on executing SQL queries against it to retrieve your stored discussion history and insights.