store-memory

Persist conceptual observations to the wiki inbox as timestamped markdown notes.

2|Updated Jun 7, 2022
One-click install
npx skills add https://github.com/SebasAren/SebbaFlow --skill store-memory-sebasaren
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: store-memory
Source: https://github.com/SebasAren/SebbaFlow/tree/main/pi/.pi/agent/skills/store-memory
Command: npx skills add https://github.com/SebasAren/SebbaFlow --skill store-memory-sebasaren

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dump conceptual observations, insights, and patterns to the wiki inbox (~/Documents/wiki/raw/inbox/) as timestamped markdown files. The agent decides autonomously when to store. Use when you discover something worth persisting — an insight, a pattern, a design rationale, or a conceptual observation.

Core Features & Use Cases

  • Autonomously persist conceptual observations to the wiki inbox as timestamped markdown notes.
  • Follow the file-naming convention YYYY-MM-DD-descriptive-slug.md and store frontmatter for later ingestion.
  • Capture insights, conceptual observations, reusable patterns, and design rationale to create a durable knowledge base.

Quick Start

Instruct the agent to store a new observation to ~/Documents/wiki/raw/inbox/ using a timestamped filename.

Frequently Asked Questions about store-memory

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

FAQPage Schema
How do I autonomously store AI agent observations to a wiki as timestamped markdown notes?

To store AI agent observations autonomously, this Skill captures conceptual insights and saves them as timestamped markdown notes directly to your wiki inbox at ~/Documents/wiki/raw/inbox/ without manual intervention.

What is the best way to capture design rationale and insights into a local knowledge base?

The best way to capture design rationale is to autonomously persist these conceptual observations as markdown files with descriptive, timestamped filenames, creating a durable knowledge base for later ingestion.

How do I format markdown files for wiki inbox ingestion from an AI agent?

Format markdown files for wiki ingestion using the YYYY-MM-DD-descriptive-slug.md naming convention and include stored frontmatter, enabling seamless later processing of your archived knowledge.

Does this autonomous memory storage approach require manual triggers to save insights?

No manual triggers are required. The AI agent decides autonomously when to store a conceptual observation, insight, or pattern to the wiki inbox, systematically archiving knowledge as it is discovered.

Can I use this Skill to persist reusable patterns to ~/Documents/wiki/raw/inbox/?

Yes, you can persist reusable patterns, conceptual observations, and design rationale to ~/Documents/wiki/raw/inbox/ by instructing the agent to store new observations using a timestamped filename.

When should I avoid using autonomous markdown notes for wiki memory storage?

Avoid using autonomous markdown notes when you need structured database storage or immediate retrieval outside the wiki inbox, as this approach is designed for raw conceptual capture and later ingestion.