note

Saves conversation context to a persistent .omx/notepad.md file with timestamped entries.

24|2|Updated Mar 12, 2025
One-click install
npx skills add https://github.com/Orinks/AccessiWeather --skill note-orinks
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: note
Source: https://github.com/Orinks/AccessiWeather/tree/main/.codex/skills/note
Command: npx skills add https://github.com/Orinks/AccessiWeather --skill note-orinks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Saves important context from conversations to a persistent notepad so critical information survives session refresh and compaction.

Core Features & Use Cases

  • Persistent memory: writes to .omx/notepad.md to retain critical notes across sessions and restarts
  • Structured sections: Priority Context, Working Memory, and MANUAL for different lifecycles and pruning rules
  • Quick capture: command-based notes via /note to quickly store ideas, debugging breadcrumbs, or deployment details

Quick Start

Ask the assistant to save content using /note <content> to store it in the persistent notepad.

Frequently Asked Questions about note

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

FAQPage Schema
How do I save conversation context so it survives AI session refreshes?

To save conversation context for resilience, you can use a persistent notepad to store working memory and priority notes. This approach writes entries to a markdown file, ensuring critical information survives across session refreshes and compaction.

What is persistent working memory for AI assistants and when do I need it?

Persistent working memory is a storage mechanism that retains critical conversation context across AI sessions. You need it when preserving debugging breadcrumbs, deployment details, or priority notes that must survive session compaction or restarts.

How do I organize priority notes and manual references for AI interactions?

Organize priority notes and manual references using structured sections in a persistent notepad. Separate sections for Priority Context, Working Memory, and MANUAL allow different lifecycles and pruning rules for stored conversation context.

Can I use a markdown notepad to store manual references across AI sessions?

Yes, you can use a markdown notepad to store manual references across AI sessions. The system creates and loads a .omx/notepad.md file if missing, storing entries with timestamps to track working memory over time.

Does persistent notepad memory work without installing external dependencies?

Yes, persistent notepad memory works without external dependencies. The system automatically creates and manages the notepad file internally, requiring no additional components or packages to save conversation context across sessions.

What's the best way to capture debugging breadcrumbs during AI conversations?

The best way to capture debugging breadcrumbs is using command-based notes via /note to quickly store ideas in a persistent notepad. This stores entries with timestamps for working memory, ensuring details survive session refresh.