What are atomic memory principles?

Notes must represent a single concept or decision, be understandable at a glance, and be titled within a 5-50 word range for maximum searchability.

What is Forgetful memory?

It is a semantic memory system that uses atomic note-taking principles (Zettelkasten) to store and retrieve specific technical insights, decisions, and project context.

How does Claude know when to query memory?

Claude proactively queries memory when starting work on a project, when you reference past work, or when it encounters a problem that may have been solved previously.

How does the skill handle different projects?

The skill automatically discovers the correct project context by checking the Git remote URL of your current repository before performing memory operations.

Can I store long-form documentation?

Yes, while memories are atomic, the skill includes tools to create full documents and link multiple atomic memories to them as entry points.

Forgetful Memory Manager

Name: Forgetful Memory Manager
Author: ScottRBK

byScottRBK

•

生产力与工作流

Manages persistent project knowledge and technical decisions using atomic, Zettelkasten-style memory principles.

The Forgetful Memory Manager skill empowers Claude to maintain a long-term, semantic memory of architectural decisions, technical patterns, and project preferences. By utilizing Zettelkasten principles, it allows Claude to proactively retrieve relevant past solutions and document new insights as 'atomic notes,' ensuring that critical context is never lost across sessions or repositories. This skill is essential for maintaining consistency in complex development environments, tracking the rationale behind engineering choices, and reducing the need for repetitive information gathering.

主要功能

01Bidirectional linking between memories, entities, and documents

02Zettelkasten-based atomic note creation and management

039 GitHub stars

04Proactive semantic memory querying for instant project context

05Importance-based scoring for prioritized knowledge retrieval

06Automated project discovery via Git repository tracking

使用场景

01Retrieving architectural decisions and rationale when onboarding to a new project

02Tracking user preferences and specific development workflows across sessions

03Documenting reusable technical patterns and organizational coding standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add scottrbk/context-hub-plugin using-forgetful-memory

For use in Claude.ai and ChatGPT

主要功能

01Bidirectional linking between memories, entities, and documents

02Zettelkasten-based atomic note creation and management

039 GitHub stars

04Proactive semantic memory querying for instant project context

05Importance-based scoring for prioritized knowledge retrieval

06Automated project discovery via Git repository tracking

使用场景

01Retrieving architectural decisions and rationale when onboarding to a new project

02Tracking user preferences and specific development workflows across sessions

03Documenting reusable technical patterns and organizational coding standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add scottrbk/context-hub-plugin using-forgetful-memory

For use in Claude.ai and ChatGPT