persistent-memory-files
CommunityKeep memory docs durable and consistent.
Authoralexgorbatchev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Facilitates managing durable memory files across the repository by reading, editing, and compacting LEARNINGS.md and ARCHITECTURE.md. It provides a safe workflow to record course corrections, durable lessons, and architecture decisions.
Core Features & Use Cases
- Enforces a front matter contract at memory files to ensure metadata like created_on and author are present.
- Provides read, write, and compaction workflows to keep memory guidance up-to-date and durable.
- Handles cross-project learnings and project-specific architecture notes, with clear prioritization when sources conflict.
Quick Start
Identify the target memory file (LEARNINGS.md or ARCHITECTURE.md), verify it has a valid YAML front matter, and apply the persistent-memory workflow to update and compact it.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: persistent-memory-files Download link: https://github.com/alexgorbatchev/ai-registry/archive/main.zip#persistent-memory-files Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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