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remembering-conversations

Dispatch a search agent to retrieve and synthesize past discussions with sources.

7|1|Updated Mar 26, 2026
Search Tags:#context#memory#code#conversations#knowledge-management#memory-search#remembering
One-click install
npx skills add https://github.com/robertphyatt/ironclaude --skill remembering-conversations-robertphyatt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: remembering-conversations
Source: https://github.com/robertphyatt/ironclaude/tree/main/worker/skills/remembering-conversations
Command: npx skills add https://github.com/robertphyatt/ironclaude --skill remembering-conversations-robertphyatt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Remembering conversations helps teams avoid reinventing the wheel by surfacing relevant past decisions, rationale, and context when starting a new task or resuming after a break.

Core Features & Use Cases

  • ** Episodic memory lookup**: Dispatches a memory search agent to locate relevant past discussions and decisions.
  • Context restoration: Synthesizes findings into concise briefs with sources to restore continuity after sessions.
  • Decision support: Reduces cognitive load by surfacing patterns and decisions from prior work to inform current work.

Quick Start

Ask the AI to recall related decisions by launching the memory search and requesting a concise summary with sources.

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 restore context for a coding task?▼

To restore context, this Skill dispatches a memory search agent to retrieve relevant past discussions, synthesizing findings with sources to inform current work.

When should I search past conversations for historical context during development?▼

Search past conversations after understanding the task, exploring the codebase, or when context feels incomplete and historical signals are present.

What is the best way to surface past decisions and rationale for software engineering tasks?▼

The best way is to launch a memory search agent to locate past decisions, returning synthesized findings with actionable insights to reduce cognitive load.

Does retrieving episodic memory require any dependencies?▼

No, retrieving episodic memory requires no external dependencies, operating independently to dispatch its search agent and synthesize historical context.

How does memory search handle context restoration after a break?▼

Memory search restores context by locating past discussions and synthesizing them into concise briefs with sources to rebuild continuity after a break.

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