What data does save-memory capture?

It captures the current working directory, git repository details (branch, commit), machine ID, OS information, and a synthesized summary of your session goals, activities, and next steps.

Why use this instead of just looking at Git commits?

While Git tracks code changes, save-memory tracks your 'intent,' 'thought process,' and 'uncommitted next steps,' which are often lost between coding sessions.

Where is the session memory stored?

Memories are saved as Markdown files in a structured repository-based directory, allowing you to track 'episodes' of work chronologically.

Does this work with Windows and Linux?

Yes, the skill includes logic to detect and handle OS-specific commands for Windows, Linux, and WSL environments.

Can I customize the level of detail saved?

Yes, the skill accepts a detail_level parameter where you can choose 'brief', 'normal', or 'detailed' depending on how much context you want to preserve.

Session Context Memory

Name: Session Context Memory
Author: yoshiwatanabe

byyoshiwatanabe

0•

生产力与工作流

Captures and persists session progress, technical context, and git metadata to a local memory system for continuous development workflows.

The save-memory skill enables Claude to maintain continuity across development sessions by documenting current goals, progress, and environmental metadata. It automatically captures repository details like branches and commits, system information, and a synthesized summary of recent activities. This is particularly useful for developers working on long-running tasks or switching between different environments, ensuring that project context is never lost and future interactions remain informed by past work and upcoming objectives.

主要功能

01Tagging and keyword indexing for organized episode retrieval

02Automated context extraction including Git status, branch, and commit hash

03Customizable detail levels for summaries (brief, normal, or detailed)

040 GitHub stars

05Intelligent summary generation from recent conversation history

06Environment detection for Windows, Linux, and WSL systems

使用场景

01Resuming complex coding tasks after a break without losing context

02Handing off work progress between different development machines or environments

03Generating a structured log of daily progress and next steps within a specific repository

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yoshiwatanabe/yoshiwatanabe-plugins save-memory

For use in Claude.ai and ChatGPT

Download Skill