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memory-recall

Search semantic, episodic, and procedural memories to identify patterns and past learnings.

Updated Aug 23, 2026
Search Tags:#recall#search#patterns#memory#past-work#tri-memory#recall-command
One-click install
npx skills add https://github.com/vincenttresno/luke-brain-template --skill memory-recall-vincenttresno
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-recall
Source: https://github.com/vincenttresno/luke-brain-template/tree/main/.claude/skills/memory-recall
Command: npx skills add https://github.com/vincenttresno/luke-brain-template --skill memory-recall-vincenttresno

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Surface patterns, past examples, and proven workflows by searching semantic, episodic, and procedural memory during work sessions.

Core Features & Use Cases

  • On-demand memory search: semantic, episodic, and procedural memories are scanned for patterns and past results.
  • Structured output: ranked results with summaries, confidence, and last-used dates to inform next steps.
  • Integration-ready: complements proactive planning with on-demand recall to inspire actions across tasks like decision-making, content creation, and data analysis.

Quick Start

Run /recall [topic] to fetch relevant memories and past patterns for your current task.

Frequently Asked Questions about memory-recall

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

FAQPage Schema
How do I search past work patterns and learnings to inform current decisions?▼

Yes, you can surface proven workflows and past examples by running `/recall [topic]` during work sessions. It searches all three memory types to find relevant historical data and returns ranked results with summaries, confidence scores, and last-used dates.

What is the best way to recall past examples for content creation and data analysis?▼

Run `/recall [topic]` to fetch relevant memories for your current task. It searches semantic, episodic, and procedural memory, ranking results by relevance and recency to provide structured summaries for decision-making.

Does the memory recall search require any specific dependencies or components?▼

No dependencies are required to search memory. The Skill independently queries semantic, episodic, and procedural memory types to retrieve past learnings, requiring no external components to function.

How does the tri-memory search rank and format its results?▼

The tri-memory search ranks results by relevance and recency. It formats the output as structured, concise summaries that include confidence levels and last-used dates to help inform your next steps.

Can I use memory recall for product development and proactive planning?▼

Yes, you can use memory recall for product development. It complements proactive planning by fetching relevant memories on-demand via `/recall [topic]` to inspire actions across tasks like data analysis and content creation.

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