context-save

Capture git state, session metadata, and task progress for later restoration.

Updated Jul 26, 2026
One-click install
npx skills add https://github.com/yocxy2/gstack3 --skill context-save-yocxy2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-save
Source: https://github.com/yocxy2/gstack3/tree/main/context-save
Command: npx skills add https://github.com/yocxy2/gstack3 --skill context-save-yocxy2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the issue of losing progress or context when switching between coding sessions, ensuring that git state, decisions, and pending tasks are preserved.

Core Features & Use Cases

  • State Persistence: Captures current git branch, session metadata, and active task context.
  • Workflow Continuity: Enables seamless hand-offs between different AI sessions or human-AI collaboration cycles.
  • Use Case: Use this before ending a long coding session to ensure that when you return, the AI can immediately identify the branch, the last completed task, and the pending work items.

Quick Start

Invoke the context-save skill to capture your current progress and session state for later restoration.

Frequently Asked Questions about context-save

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

FAQPage Schema
How do I save my git workflow context to resume a coding session later?

To save your git workflow context for later resumption, capture the current git branch, session metadata, and active task progress. This persists your working state and pending decisions, enabling seamless continuity across multiple AI-assisted engineering sessions.

What is session context persistence in AI-assisted engineering?

Session context persistence is the process of logging session-specific variables, project-level learnings, and current git state. It solves the problem of losing progress when switching between coding sessions, ensuring decisions and pending tasks are preserved.

Do I need local gstack configuration files to capture my work checkpoint?

Yes, capturing your work checkpoint requires access to local gstack configuration files and git repository metadata. These dependencies are necessary to correctly read and log the project-level state and session-specific variables for workflow continuity.

Can I use context checkpointing to hand off work between different AI sessions?

Yes, you can use context checkpointing to facilitate seamless hand-offs between different AI sessions or human-AI collaboration cycles. By logging the branch, last completed task, and pending work items, the next session can immediately identify your exact progress.

What's the best way to preserve task progress before ending a long coding session?

The best way to preserve task progress is to invoke a context capture mechanism before ending your session. This logs your current git branch, active task context, and session metadata, ensuring no decisions or pending work items are lost during the break.

Why does my AI coding assistant lose track of my previous git branch and pending tasks?

Your AI coding assistant loses track of your git branch and pending tasks because session state is not persisted by default. Capturing and logging session-specific variables, project learnings, and git repository metadata ensures continuity across multiple engineering sessions.