total-recall

Search past conversations and decisions by keywords, date, or project context.

97|17|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/antoniolg/agent-kit --skill total-recall-antoniolg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: total-recall
Source: https://github.com/antoniolg/agent-kit/tree/main/skills/total-recall
Command: npx skills add https://github.com/antoniolg/agent-kit --skill total-recall-antoniolg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you quickly locate and recall past conversations and decisions across sessions to reduce context-switching and re-derivation.

Core Features & Use Cases

  • Retrieve relevant prior discussions by keywords, date, or project context to answer "what did we decide about X" or "what was discussed earlier".
  • Cross-session memory: search across multiple conversations to surface decisions, agreements, and action items.
  • Use Case: When preparing a briefing, pull together decisions from prior chats to ensure consistency and avoid duplicated work.

Quick Start

Ask it to retrieve the most relevant past conversation by keywords and date.

Frequently Asked Questions about total-recall

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

FAQPage Schema
How do I recall past conversations and decisions across multiple sessions?

To recall past conversations and decisions across multiple sessions, you can search prior context by keywords, date, or project topic. This surfaces relevant discussions and agreements to reduce context-switching and duplicated work.

What is the best way to search past chat context for a specific project decision?

The best way to search past chat context for a specific project decision is to query previous sessions using keywords and dates. This retrieves relevant prior discussions to answer what was decided about a specific topic without re-deriving the context.

Do I need the Contextify app to retrieve cross-session memory?

Yes, you need the Contextify app and CLI to retrieve cross-session memory. The system requires this environment to execute status, search, and context retrieval commands for past conversations and decisions.

How do I compile past decisions from prior chats for a project briefing?

To compile past decisions from prior chats for a project briefing, search across multiple conversations to surface action items and agreements. This ensures consistency and avoids duplicated work by pulling together relevant prior discussions.

Can I review long-running projects by searching decisions that span multiple conversations?

Yes, you can review long-running projects by searching decisions that span multiple conversations. The system applies cross-session memory to retrieve context, helping you locate prior discussions and ensure project continuity over time.

Why does recalling past context reduce context-switching during long-running projects?

Recalling past context reduces context-switching during long-running projects by quickly locating previous decisions and topics. This prevents re-deriving information and minimizes the cognitive load of manually searching through historical session logs.