recall

Search workspace files using structured, content, and semantic methods.

28|1|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/pixell-global/sayou --skill recall-pixell-global
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recall
Source: https://github.com/pixell-global/sayou/tree/main/skills/recall
Command: npx skills add https://github.com/pixell-global/sayou --skill recall-pixell-global

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users quickly retrieve relevant information, notes, and decisions stored within a knowledge workspace, reducing time spent searching manually.

Core Features & Use Cases

  • Rapid knowledge retrieval: Search workspace files by keywords or metadata to find relevant past entries.
  • Multi-step search strategy: Utilize structured, content, and semantic searches to ensure comprehensive results.
  • Use Case: A project manager wants to find all decisions related to database architecture, and uses this Skill to pinpoint relevant notes and decisions from previous meetings or documents.

Quick Start

Ask the AI to find all notes about the recent feature update, and it will search across your stored workspace data and present the most relevant findings.

Frequently Asked Questions about recall

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

FAQPage Schema
How do I search my workspace to find past project decisions and notes?

To find past decisions and notes in your workspace, this Skill uses a multi-step search strategy that combines structured, content, and semantic search methods to retrieve relevant entries instantly.

What is the best way to retrieve research summaries from a knowledge workspace?

Retrieving research summaries from a knowledge workspace is best handled by applying semantic search across stored files, allowing you to pinpoint relevant findings and past entries without manual filtering.

Can I use this to create an audit trail of past architecture decisions?

Yes, you can create an audit trail of architecture decisions by searching stored workspace files by keywords or metadata to pinpoint relevant notes and decisions from previous meetings or documents.

Do I need workspace search functions to retrieve stored notes?

Yes, effective retrieval of stored notes requires workspace_search, workspace_grep, and workspace_semantic_search functions to facilitate comprehensive access to your knowledge base.

How does semantic search work for finding specific notes in a knowledge base?

Semantic search for finding notes works by combining structured metadata, content, and semantic search methods, allowing you to search workspace files by keywords to find relevant past entries.