ai-coding-ok

Manage project memory and automate the PDCA process for AI-assisted coding tasks.

15|2|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/Mark7766/ai-coding-ok --skill ai-coding-ok
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-coding-ok
Source: https://github.com/Mark7766/ai-coding-ok/tree/main/skills/ai-coding-ok
Command: npx skills add https://github.com/Mark7766/ai-coding-ok --skill ai-coding-ok

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill tackles the challenge of codebase drift and inaccuracy due to repeated sessions of code review, fixes, and changes. It enhances project consistency across multiple sessions, maintaining memory that remains accurate for iterative developments.

Core Features & Use Cases

  • Three-tier memory management: Manages long-term, mid-term, and short-term memory for project insights and decisions.
  • PDCA Loop integration: Automates the Plan, Do, Check, and Act phases, ensuring project memory accuracy across iterations.
  • Install & Upgrade: Simplifies project setup with templates and handles framework updates seamlessly.

Quick Start

To install this Skill, run the following command in Claude Code: /plugin install ai-coding-ok@claude-plugins-official

Frequently Asked Questions about ai-coding-ok

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

FAQPage Schema
How do I maintain codebase consistency across multiple AI-assisted coding sessions?

Maintaining codebase consistency across multiple AI-assisted coding sessions requires a memory management system that tracks project insights and automates the PDCA loop. This prevents codebase drift during repeated code reviews and fixes.

How does the PDCA loop work for project memory management in iterative development?

The PDCA loop for project memory management automates the Plan, Do, Check, and Act phases. It performs real-time checks during tasks and updates post-task memory to keep long-term, mid-term, and short-term project insights accurate across iterations.

Can I use Python to manage long-term and short-term memory for AI coding tasks?

Yes, you can use Python to manage long-term and short-term memory for AI coding tasks. A three-tier memory management approach handles project insights and decisions, ensuring accurate AI assistance and preventing codebase drift across multiple sessions.

Why does AI-assisted coding lose project context and accuracy after repeated code fixes?

AI-assisted coding loses project context and accuracy after repeated code fixes due to codebase drift across different sessions. Without memory management to track iterative changes, the AI lacks the necessary project consistency to maintain accurate state over time.

What is the best way to prevent codebase drift during iterative software engineering?

The best way to prevent codebase drift during iterative software engineering is to implement an automated PDCA process combined with three-tier memory management. Post-task memory updates keep project insights accurate for future AI-assisted coding sessions.