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.