recall

Retrieve project-specific memories and synthesize a concise markdown summary.

4|1|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/MattVOLTA/outworkos_diy --skill recall-mattvolta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: recall
Source: https://github.com/MattVOLTA/outworkos_diy/tree/main/skills/plugins/memory-system/skills/recall
Command: npx skills add https://github.com/MattVOLTA/outworkos_diy --skill recall-mattvolta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retrieving and summarizing memories from the central database to provide timely, contextual awareness for the current project.

Core Features & Use Cases

  • Query memories table for project-specific entries and exclude deprecated or low-confidence items.
  • Synthesize results into a concise, readable context summary for immediate use in a session.
  • Use at session start or on-demand when historical context is needed.

Quick Start

Ask memory to recall the most relevant project memories to inform the current context.

Frequently Asked Questions about recall

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

FAQPage Schema
How do I retrieve project context from a database of past memories?▼

Recall retrieves project context by querying the memories table for project-specific entries and synthesizing them into a concise summary. It automatically filters out deprecated or low-confidence items to deliver reliable historical context for your session.

What is memory synthesis and how does it work for project context?▼

Memory synthesis for project context works by querying non-deprecated memories from a central database and using a memory-retriever agent to synthesize results. It presents a readable markdown summary to inform your current session context.

When do I need to query past memories for a project session?▼

You need to query past memories at the start of a session or on-demand when historical context is required. Retrieving synthesized memories provides timely contextual awareness for the current project from a central database.

How to exclude deprecated or low-confidence entries when retrieving project memories?▼

To exclude deprecated or low-confidence entries when retrieving project memories, the system filters the memories table during the query phase. It specifically queries non-deprecated memories and uses a memory-retriever agent to synthesize only high-confidence results.

What happens if no memories exist when querying project context?▼

If no memories exist when querying project context, the system presents a clear fallback message. The memory-retrieval process checks the database for non-deprecated entries and outputs markdown with a fallback notification when the query returns empty.

Can I use memory retrieval to inform current project context on-demand?▼

Yes, you can use memory retrieval to inform current project context on-demand. The system queries the central database for project-specific memories, synthesizes the results into a concise summary, and presents the context whenever historical awareness is needed.