skills.rest
FacuM
FacuMCOMMUNITY
Explore all skills by this author →
GitHub

remembering-conversations

Searches historical conversation data to retrieve relevant past interactions and solutions via MCP tools.

1|Updated Feb 24, 2026
Search Tags:#context#search#retrieval#memory#history#conversations
One-click install
npx skills add https://github.com/FacuM/yolo-agent --skill remembering-conversations-facum
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: remembering-conversations
Source: https://github.com/FacuM/yolo-agent/tree/main/.claude/skills/remembering-conversations
Command: npx skills add https://github.com/FacuM/yolo-agent --skill remembering-conversations-facum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you avoid reinventing the wheel or repeating past mistakes by searching your conversation history for relevant information, solutions, and patterns.

Core Features & Use Cases

  • Proactive Memory Search: Automatically searches past conversations when you're stuck, need guidance on unfamiliar workflows, or when historical context is referenced.
  • Efficient Information Retrieval: Uses a dedicated search agent to find and synthesize relevant insights from your conversation history, saving context window space.
  • Use Case: If you're trying to implement a complex feature and are unsure about the best approach, this Skill can search your past discussions to find similar problems and their solutions.

Quick Start

Use the remembering conversations skill to search for past discussions about implementing authentication in React.

Frequently Asked Questions about remembering-conversations

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

FAQPage Schema
How do I search past conversation history for relevant solutions?▼

To search past conversation history, this Skill dispatches a dedicated search agent that uses semantic and text-based retrieval to find and synthesize relevant past interactions and solutions, saving context window space.

When should I search historical conversations for context?▼

You should search historical conversations when your agent is stuck, needs guidance on unfamiliar workflows, or when a user references past work and requires historical context to proceed efficiently.

Can I retrieve past solutions without filling my context window?▼

Yes, you can retrieve past solutions efficiently because the Skill uses a dedicated search-conversations subagent to find and synthesize insights from your conversation history, preventing context window overload.

What's the best way to find previous discussions about implementing a feature?▼

The best way to find previous discussions about implementing a feature is to use this Skill's proactive memory search, which queries your episodic memory to locate similar problems and their solutions.

Does this conversation retrieval tool use semantic search?▼

Yes, this conversation retrieval tool uses semantic search alongside text-based searching through MCP tools to query your episodic memory and retrieve relevant historical data.

Related Skills

Explore More Software Engineering Skills→
zircotezircote
20

mnemonic

Store and retrieve semantic, episodic, and procedural memories in filesystem namespaces.

Community
Intermediate
EpiphyticEpiphytic
7

remembering-conversations

Retrieve historical conversation context to recover previous decisions and insights.

Official
Intermediate
zero3041zero3041
1

context-budget

Audits Claude Code context window usage and recommends token savings.

Community
Advanced
syxscottsyxscott
1

session-logs

Search and analyze JSONL conversation logs using jq and rg.

Community
Intermediate