memory-bank

Name: memory-bank
Availability: InStock
Author: CHRONiiC

Create and update date-ordered Markdown logs under .ai_memory.

Updated May 14, 2026

Search Tags:#markdown #git workflow #progress tracking #memory bank #status reporting #development logging

Ready to run

npx skills add https://github.com/chroniicallydiistracted/LorcanaChamp --skill memory-bank-chroniicallydiistracted

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-bank
Source: https://github.com/chroniicallydiistracted/LorcanaChamp/tree/main/references/lorcana-simulator/.agents/skills/memory-bank
Command: npx skills add https://github.com/chroniicallydiistracted/LorcanaChamp --skill memory-bank-chroniicallydiistracted

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It prevents lost context by organizing feature and implementation progress into a consistent, date-sorted memory bank inside .ai_memory.

Core Features & Use Cases

Date-ordered development logs: Ensures newer entries appear first using a strict YYYY-MM-DD format for fast status scanning.
Guided lifecycle operations: Supports creating a new log, updating an existing one, and appending implementation work without breaking structure.
Status visibility for teams and solo work: Produces a clear “Memory Bank Status” summary so you can quickly see what’s done and what’s next.

Use Case: When shipping a multi-day feature, you can start a new branch log, record daily progress in the Implementation Log, and check status before switching tasks.

Quick Start

Ask the AI to update the memory bank by logging today’s progress into the correct .ai_memory/<branch>.md file with a YYYY-MM-DD entry.

Frequently Asked Questions about memory-bank

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

FAQPage Schema

How do I track development progress in Markdown without losing context?▼

Track development progress in Markdown by creating and updating date-ordered Memory Bank files inside the .ai_memory directory. This enforces strict YYYY-MM-DD formatting with newest-first ordering to prevent lost context and ensure fast status scanning.

What is the best way to log implementation updates for a multi-day feature?▼

Log implementation updates for multi-day features by appending dated entries to an existing branch Markdown log. This maintains the file's structure while recording daily progress to preserve context across task switching.

Can I generate a status report from my development logs?▼

Generate a status report from your development logs by requesting a current status summary. This produces a clear overview of completed work and next steps for solo or team workflows based on your .ai_memory files.

Does the memory bank format work with standard Git workflows?▼

The memory bank format integrates with Git workflows by storing structured Markdown logs under .ai_memory. You can start a new branch log and record progress updates that align with your feature implementation lifecycle.

What format does the memory bank use for date entries?▼

The memory bank uses a strict YYYY-MM-DD format for date entries. It enforces newest-first ordering to allow fast status scanning and consistent structured create-update-entry operations on the target Markdown log.