work-session

Save and restore work session context in a .session.md file.

Updated Jan 17, 2026

Search Tags:#context #conversation #ai-assistant #session-persistence #git-state #work-session

Ready to run

npx skills add https://github.com/lDuang/mcp-skill-registry --skill work-session-lduang

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: work-session
Source: https://github.com/lDuang/mcp-skill-registry/tree/main/skill/work-session
Command: npx skills add https://github.com/lDuang/mcp-skill-registry --skill work-session-lduang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Work session context preservation for AI assistants by saving and restoring a compact session record that tracks accomplishments, modified files, TODOs, and Git state to maintain continuity across conversations.

Core Features & Use Cases

Save and restore session context with explicit commands to minimize context leakage between sessions.
Automatically delete the saved session after restoration to prevent context pollution.
Tracks changed files and Git state to enable quick resumption of work in subsequent sessions.

Quick Start

End a work session with /work-session save to store the current context, then start the next session with /work-session restore to load it.

Frequently Asked Questions about work-session

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

FAQPage Schema

How do I preserve AI assistant context across multiple work sessions?▼

You can preserve AI assistant context across work sessions by saving a durable session file that captures summaries, modified files, TODOs, and Git state to restore later. This minimizes context leakage between conversations.

What is the best way to save and restore development workflow state between conversations?▼

The best way to save and restore development workflow state is by writing a compact session record to a project root file, then loading that file in the next session and automatically deleting it to prevent context pollution.

How does saving a session file help resume multi-day development tasks?▼

Saving a session file helps resume multi-day development tasks by tracking accomplishments, changed files, and Git state in a compact record, enabling quick resumption of work in subsequent AI assistant sessions without losing context.

Do I need a specific file at project root to enable session persistence?▼

Yes, session persistence requires a dedicated .session.md file at the project root. The AI assistant reads and writes this file when executing save and restore commands to maintain your work continuity.

When should I not use an automated session file for context preservation?▼

You should not use an automated session file for context preservation if you want to retain the saved state indefinitely, because the session file is automatically deleted after restoration to prevent context pollution.