remembering-conversations

Name: remembering-conversations
Availability: InStock
Author: sunchendd

Searches past episodic conversations and synthesizes sourced briefings for specified topics.

3|1|Updated Feb 2, 2026

Search Tags:#context #recall #search #memory #synthesis #conversations #episodic-memory

Ready to run

npx skills add https://github.com/sunchendd/good_skills --skill remembering-conversations-sunchendd

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: remembering-conversations
Source: https://github.com/sunchendd/good_skills/tree/main/remembering-conversations
Command: npx skills add https://github.com/sunchendd/good_skills --skill remembering-conversations-sunchendd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps you quickly recall relevant past conversations to inform decisions, design choices, or debugging efforts without re-reading long histories.

Core Features & Use Cases

Orchestrates memory search using episodic memory tools, retrieves top results, and synthesizes actionable insights.
Use cases include architecture decisions after exploring code, project retrospectives, and locating prior decisions and rationale.
Real-world example: you just finished a complex refactor and want to surface what was decided previously about similar patterns to guide the next step.

Quick Start

Instruct the AI to dispatch the search agent and retrieve relevant conversations on the topic of interest.

Frequently Asked Questions about remembering-conversations

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

FAQPage Schema

How do I recall past conversations to find previous architecture decisions?▼

To recall past conversations for architecture decisions, you dispatch a memory search workflow that retrieves top relevant episodic memories and synthesizes them into a concise, sourced briefing for immediate action.

What is the best way to search chat history for project retrospectives?▼

The best way to search chat history for retrospectives is using episodic memory tools that orchestrate a targeted search, show top results, and synthesize actionable insights from the retrieved conversations.

How does episodic memory synthesis work for resolving knowledge gaps?▼

Episodic memory synthesis works by orchestrating a search to retrieve top relevant past conversations, then synthesizing those results into an actionable briefing that resolves your current knowledge gaps.

Can I retrieve prior code review rationale without reading full chat histories?▼

You can retrieve prior code review rationale without reading full chat histories by instructing the AI to dispatch a memory search agent, which extracts and synthesizes only the top relevant conversations.

Does recalling past workflow references require manual search setup?▼

Recalling past workflow references does not require manual setup; you simply instruct the AI to dispatch the search agent, which automatically retrieves and synthesizes top relevant conversations.