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SukbeomH
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handoff

Automate session handoffs by checking Git status, running tests, committing code, and storing memory.

2|Updated Jan 12, 2026
Search Tags:#testing#workflow automation#session management#handoff#code commit#memory storage
One-click install
npx skills add https://github.com/SukbeomH/HExoskeleton --skill handoff-sukbeomh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: handoff
Source: https://github.com/SukbeomH/HExoskeleton/tree/main/.claude/skills/handoff
Command: npx skills add https://github.com/SukbeomH/HExoskeleton --skill handoff-sukbeomh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scripts/detect-language.sh, commit, scripts/md-store-memory.sh, and includes scripts (resource) components.

What problem does it solve?

This Skill ensures that no work is lost between AI agent sessions by automating the process of checking status, running tests, committing code, and storing session summaries.

Core Features & Use Cases

  • State Verification: Checks git status and git diff to understand the current codebase state.
  • Automated Testing: Integrates with language detection scripts to run relevant tests.
  • Code Committing: Utilizes a commit skill to create logical commits and pushes them to the remote repository.
  • Memory Persistence: Stores session handoff details in a structured memory format for future reference.
  • Use Case: At the end of a development session, this skill automatically saves the progress, commits any new code, and prepares a summary for the next agent, ensuring continuity and preventing data loss.

Quick Start

Initiate a session handoff to save current progress and prepare for the next agent.

Frequently Asked Questions about handoff

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

FAQPage Schema
How do I save my code state and automate session handoff between AI agents?▼

To automate session handoff, verify git status and diff, execute language-specific tests, commit changes, and store a structured session memory summary to preserve project continuity between AI agent sessions.

What is the best way to maintain project continuity across multiple AI agent sessions?▼

Maintaining project continuity requires automating state verification, test execution, code commits, and memory storage so the next AI agent can resume work using a structured summary of the previous session.

Do I need Git and Bash to automate AI agent session state saving?▼

Yes, automating the session handoff workflow requires Git and Bash to run specific scripts for status checks, language detection, test execution, code committing, and structured memory storage.

How does automated testing integrate into the workflow automation for session handoff?▼

Automated testing integrates by executing language detection scripts to identify the project environment and run relevant tests automatically before committing code and storing session memory for the next agent.

Can I use this workflow automation to commit code and store memory at the same time?▼

Yes, the workflow automation utilizes a commit skill to create logical commits and push them to the remote repository while simultaneously storing session handoff details in a structured memory format.

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