para-memory-files

Organize persistent knowledge across AI sessions using the PARA method.

3|2|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/atototo/baton --skill para-memory-files-atototo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/atototo/baton/tree/main/skills/para-memory-files
Command: npx skills add https://github.com/atototo/baton --skill para-memory-files-atototo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured, persistent, file-based memory system to prevent knowledge loss between sessions and organize information effectively.

Core Features & Use Cases

  • PARA Method Organization: Organizes knowledge into Projects, Areas, Resources, and Archives.
  • Atomic Fact Storage: Stores discrete pieces of information in YAML format for easy retrieval and management.
  • Daily Notes: Maintains a chronological timeline of events and interactions.
  • Tacit Knowledge Capture: Records user patterns and preferences for improved AI operation.
  • Memory Recall: Utilizes qmd for semantic and keyword search across memory layers.
  • Use Case: When discussing a new client, the skill can create an entry under life/areas/companies/<client_name>/ with summary.md and items.yaml to store key facts, contact information, and project details.

Quick Start

Use the para-memory-files skill to save the fact "The user prefers dark mode" to the relevant entity.

Frequently Asked Questions about para-memory-files

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

FAQPage Schema
How do I organize persistent memory across AI sessions using the PARA method?

You organize persistent memory across AI sessions by structuring knowledge into Projects, Areas, Resources, and Archives folders, storing discrete facts in atomic YAML format for reliable retrieval.

What is the best way to store atomic facts for AI knowledge management?

The best way to store atomic facts for AI knowledge management is using YAML format within a PARA folder structure, which allows discrete information pieces to be saved and recalled efficiently.

Can I maintain daily notes and a chronological timeline of AI interactions?

Yes, you can maintain daily notes that function as a chronological timeline of events and interactions, ensuring that session history and tacit knowledge are preserved over time.

How does memory decay and recall work in a file-based knowledge graph?

Memory decay and recall in a file-based knowledge graph work by utilizing semantic and keyword search across memory layers, managing information retention and retrieving stored atomic facts as needed.

Does this persistent memory system require external dependencies to function?

No, this persistent memory system does not require external dependencies to function, as it operates entirely as a file-based structure managing knowledge graphs and YAML facts independently.