What categories of information can this skill store?

The skill supports categories such as architecture (design decisions), lessons (debugging discoveries), patterns (reusable solutions), style (conventions), and preference (workflow choices).

Is it possible to remove outdated memories?

Yes, the skill includes a forget.sh command that allows you to delete specific keywords or outdated entries to keep the memory bank accurate.

How does the Recall skill help with long-term projects?

It tracks decisions and patterns across multiple sessions, ensuring that Claude retains context and 'remembers' previous work even after a session ends.

Can I manually save specific lessons or patterns?

Yes, you can use the remember.sh command to save insights into specific categories like architecture, lessons, or style preferences.

Context Recall & Memory

Name: Context Recall & Memory
Author: termdock

bytermdock

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Productivity & Workflow

Maintains cross-session memory by retrieving past decisions, architectural patterns, and lessons learned during development.

About

This skill enables Claude to bridge the gap between development sessions by storing and retrieving contextual information about a project. It allows developers to record architectural choices, specific bug fixes, and stylistic preferences, ensuring consistency and preventing the repetition of past mistakes. By utilizing proactive search and categorized storage, it creates a persistent knowledge base that helps Claude understand the 'why' behind existing code and maintain project continuity over time.

Key Features

Proactive context searching at the start of new tasks
Automated lesson recording after solving complex bugs
92 GitHub stars
Categorized memory storage for architecture, lessons, and styles
Cross-session retrieval of technical decisions and patterns
Simple CLI-based tools to search, save, and prune memories

Use Cases

Recalling the reasoning behind specific architectural choices made in prior sessions
Accessing debugging lessons to quickly resolve recurring or familiar issues
Maintaining consistent coding styles and naming conventions across a large codebase

About

Key Features

Proactive context searching at the start of new tasks
Automated lesson recording after solving complex bugs
92 GitHub stars
Categorized memory storage for architecture, lessons, and styles
Cross-session retrieval of technical decisions and patterns
Simple CLI-based tools to search, save, and prune memories

Use Cases

Recalling the reasoning behind specific architectural choices made in prior sessions
Accessing debugging lessons to quickly resolve recurring or familiar issues
Maintaining consistent coding styles and naming conventions across a large codebase