para-memory-files

Manage persistent knowledge storage and retrieval with PARA folders and YAML facts.

76.0k|14.2k|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/paperclipai/paperclip --skill para-memory-files-paperclipai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: para-memory-files
Source: https://github.com/paperclipai/paperclip/tree/main/skills/para-memory-files
Command: npx skills add https://github.com/paperclipai/paperclip --skill para-memory-files-paperclipai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of managing and retrieving information consistently across multiple sessions by implementing a robust, file-based memory system. It prevents knowledge loss and ensures that information is organized and accessible.

Core Features & Use Cases

  • Structured Knowledge Graph: Organizes information into Projects, Areas, Resources, and Archives using YAML facts and Markdown summaries.
  • Timeline Journaling: Captures daily events and interactions as a raw timeline.
  • Tacit Knowledge Capture: Stores user-specific patterns and preferences for improved AI operation.
  • 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 by querying the structured knowledge graph and daily notes.

Quick Start

Use the para-memory-files skill to save the fact that 'Project X is due on December 31st' into the projects/project-x/items.yaml 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 knowledge with the PARA method for persistent file storage?

To organize knowledge with the PARA method, this Skill structures information into Projects, Areas, Resources, and Archives folders using YAML facts and Markdown summaries for persistent storage and retrieval.

How does semantic search work for recalling past notes and project decisions?

Semantic search for recalling notes utilizes the `qmd` engine to query across all memory layers, retrieving key decisions, related people, and relevant documents from structured graphs and daily timelines.

What is the best way to capture tacit user knowledge and daily events consistently?

The best way to capture tacit user knowledge and daily events is by journaling interactions as a raw timeline, storing user-specific patterns and preferences to improve AI operation across multiple sessions.

Can I save specific project facts into YAML files for knowledge management?

Yes, you can save specific project facts into YAML files, directing details like project deadlines into structured items within the respective Projects folder for reliable knowledge management.

Does this memory system handle planning files and memory decay?

Yes, this memory system handles planning files and memory decay, actively managing the lifecycle of stored information to prevent knowledge loss and ensure outdated data is properly archived.