ck

Maintain persistent project context and session history across coding sessions.

1|Updated Apr 6, 2026

Search Tags:#workflow #context #productivity #memory #session #tracking

Ready to run

npx skills add https://github.com/vrcms/everything-qwen-code --skill ck-vrcms

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ck
Source: https://github.com/vrcms/everything-qwen-code/tree/main/.qwen/skills/ck
Command: npx skills add https://github.com/vrcms/everything-qwen-code --skill ck-vrcms

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the issue of losing project context between sessions by providing a persistent, searchable memory system that tracks goals, decisions, and progress.

Core Features & Use Cases

Context Persistence: Automatically saves session summaries, blockers, and next steps to a structured local database.
Project Briefing: Provides an instant snapshot of project status, tech stack, and recent git activity upon session start.
Use Case: When returning to a complex codebase after several days, use this Skill to instantly recall exactly where you left off, what decisions were made, and what the immediate next steps are.

Quick Start

Run the ck init command in your project root to register the directory and begin tracking your session context.

Frequently Asked Questions about ck

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

FAQPage Schema

How do I maintain project context across multiple coding sessions?▼

To maintain project context across multiple coding sessions, a persistent memory system stores session summaries, decision logs, and task tracking data in a structured local database. This allows you to instantly recall project status and progress when returning to a complex codebase.

Why does my AI coding assistant forget previous decisions and project history?▼

Your AI coding assistant forgets previous decisions because it lacks persistent session tracking by default. You can solve this issue by using a project memory tool that maintains a searchable local database of decision logs and session history to instantly restore context when you resume work.

How do I save session history and project metadata for AI-assisted development?▼

To save session history and project metadata for AI-assisted development, run an initialization command in your project root to register the directory. This sets up a tracking system that automatically captures your session summaries, tech stack details, and git activity into local storage.

Do I need Node.js to run local project memory and context tracking scripts?▼

Yes, you need Node.js to execute the deterministic scripts required for data storage and retrieval. The context tracking system relies on Node.js to manage project metadata and session history within the local file system.

Can I get an instant project briefing of recent git activity and tech stack?▼

Yes, you can get an instant project briefing of recent git activity and tech stack by using a persistent context memory tool. It automatically provides a snapshot of your project status and recent changes upon starting a new session.

What are the limitations of using local file system storage for project memory?▼

The limitation of using local file system storage for project memory is that context tracking is restricted to deterministic local scripts and lacks cloud synchronization. This means your session history and decision logs are not automatically shared across different physical machines.