bkit-rules

Enforce PDCA-based auto-apply rules for AI development tasks.

Updated Feb 2, 2026
One-click install
npx skills add https://github.com/joshua3403/giit-template --skill bkit-rules
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bkit-rules
Source: https://github.com/joshua3403/giit-template/tree/main/.agent/skills/bkit-rules
Command: npx skills add https://github.com/joshua3403/giit-template --skill bkit-rules

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enforces PDCA-based auto-apply rules to ensure consistent AI development across tasks like feature work, debugging, and design reviews.

Core Features & Use Cases

  • PDCA auto-apply rules ensure standardization across tasks.
  • Level-detection guides which agent roles and workflows apply.
  • Code-quality guidance and automated governance for reliable AI-native development.

Quick Start

Define a feature request and run the bkit rules to auto-validate design and implementation steps within your AI workflow.

Frequently Asked Questions about bkit-rules

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

FAQPage Schema
How do I enforce consistent AI development rules across feature and bug fix tasks?

You enforce consistent AI development rules by applying PDCA-based auto-apply rules across feature development, bug fixes, and design tasks, ensuring standardized governance and code quality.

How does PDCA level detection work for AI development workflows?

PDCA level detection works by identifying starter, dynamic, and enterprise levels to guide which agent roles and workflows apply, automatically triggering the correct agent for reliable AI-native development.

Can I use automated governance for code quality standards in AI-native development?

Yes, you can use automated governance for code quality standards in AI-native development. It provides code-quality guidance and satisfies governance requirements across various development levels.

What is the best way to auto-validate design and implementation steps in an AI workflow?

The best way to auto-validate design and implementation steps is to define a feature request and run PDCA rules, which automatically trigger agents to validate steps within your AI workflow.

Does this PDCA rules skill adapt to different enterprise and starter development levels?

Yes, this PDCA rules skill adapts to different enterprise and starter development levels. It features level detection that automatically adjusts governance, agent roles, and workflows to fit the specific scale.