para-memory-files

Manage persistent knowledge storage with PARA folders and YAML facts.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/felipeotarola/CEO --skill para-memory-files-felipeotarola
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/felipeotarola/CEO/tree/main/skills/para-memory-files
Command: npx skills add https://github.com/felipeotarola/CEO --skill para-memory-files-felipeotarola

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of managing and retrieving information across multiple sessions by providing a structured, file-based memory system that persists beyond the current interaction.

Core Features & Use Cases

  • Structured Knowledge Graph: Organizes information into Projects, Areas, Resources, and Archives using YAML facts and Markdown summaries.
  • Daily Notes Timeline: Captures a chronological record of events and interactions.
  • Tacit Knowledge Management: Stores user-specific patterns and preferences.
  • Intelligent Recall: Utilizes qmd for semantic and keyword search across memory layers.
  • Use Case: When asked about a past project, the skill can quickly retrieve relevant facts, summaries, and daily notes related to that project, providing comprehensive context.

Quick Start

Use the para-memory-files skill to save the current conversation context into the daily notes file.

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 personal knowledge management files using the PARA method?

The PARA method organizes knowledge management files into Projects, Areas, Resources, and Archives folders. This file-based system structures information using YAML facts and Markdown summaries to create a persistent knowledge graph for reliable retrieval.

What is the best way to maintain persistent memory across multiple chat sessions?

Persistent memory across sessions is maintained using a file-based system with daily notes acting as a chronological timeline. It captures interaction context, stores tacit user patterns, and preserves project facts beyond the current conversation.

How does semantic search work for retrieving past notes and project context?

Semantic search for retrieving notes uses `qmd` to perform keyword and semantic queries across memory layers. This intelligent recall quickly surfaces relevant facts, summaries, and daily notes related to past projects.

Can I manage memory decay and synthesize weekly notes in a personal knowledge base?

Yes, you can manage memory decay and synthesize weekly notes within this personal knowledge base. The system actively facilitates memory decay management and weekly synthesis to keep your stored knowledge relevant and up-to-date.

Does this knowledge management approach require any external dependencies?

No external dependencies are required for this knowledge management approach. It operates independently using atomic YAML facts and Markdown files, requiring only the `qmd` utility for semantic search and recall capabilities.