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para-memory-files

Organize persistent knowledge into PARA-structured files with YAML facts and semantic recall.

Updated Mar 9, 2026
Search Tags:#note-taking#knowledge management#recall#memory#personal knowledge base#PARA method
One-click install
npx skills add https://github.com/plwsdytcj/opc --skill para-memory-files-plwsdytcj
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/plwsdytcj/opc/tree/main/skills/para-memory-files
Command: npx skills add https://github.com/plwsdytcj/opc --skill para-memory-files-plwsdytcj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of managing and retrieving information effectively by providing a structured, file-based memory system that persists across sessions, preventing knowledge loss and improving recall.

Core Features & Use Cases

  • Structured Knowledge Storage: Organizes information into Projects, Areas, Resources, and Archives (PARA method) using YAML facts and Markdown summaries.
  • Timeline Memory: Captures daily events and interactions in a chronological log.
  • Tacit Knowledge Capture: Records user patterns, preferences, and lessons learned.
  • Intelligent Recall: Utilizes qmd for semantic and keyword search across all memory layers.
  • Use Case: When asked about a past project, the skill can quickly retrieve key decisions, related people, and relevant documents stored within the PARA structure, providing comprehensive context.

Quick Start

Use the para-memory-files skill to save the fact that 'Project X is due next Friday' into the relevant project file.

Frequently Asked Questions about para-memory-files

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

FAQPage Schema
How does the PARA method organize personal knowledge for long-term recall?▼

A file-based memory system using the PARA method stores information in Projects, Areas, Resources, and Archives. It organizes data into knowledge graphs and daily notes with YAML facts and Markdown summaries, ensuring knowledge persists beyond session limits without being lost.

How do I store daily notes and tacit knowledge using a personal knowledge base?▼

You store daily notes and tacit knowledge by capturing chronological events and user patterns in a structured memory system. The skill maintains a timeline memory log for daily interactions and a tacit knowledge layer for preferences, ensuring durable storage using YAML and Markdown formats.

Can I use semantic search to recall past project details from my notes?▼

Yes, you can use semantic search to recall past project details from your notes. The system utilizes `qmd` to perform semantic and keyword searches across all memory layers, quickly retrieving key decisions, related people, and relevant documents stored within the PARA structure.

What is the best way to retain AI assistant context across different sessions?▼

The best way to retain AI assistant context across different sessions is implementing a durable file-based memory system. This approach organizes interactions into knowledge graphs and daily logs with YAML and Markdown storage, preventing knowledge loss when conversations end.

Does this knowledge management approach require any external dependencies?▼

No, this knowledge management approach requires no external dependencies. The system relies entirely on internal file-based storage using YAML and Markdown formats, utilizing `qmd` for its built-in semantic search capabilities across the knowledge layers.

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