What is the PDCA workflow in bkit-rules?

PDCA stands for Plan-Do-Check-Act. This skill ensures Claude follows a structured cycle: verifying designs before coding, executing changes, and suggesting gap analysis after implementation.

How does project level detection work?

The skill analyzes your repository's structure—such as looking for Terraform files or monorepo configurations—to classify the project as Starter, Dynamic, or Enterprise, adjusting Claude's technical depth accordingly.

Does it support monorepo structures?

Yes, it uses hierarchical rules where area-specific CLAUDE.md files (in frontend or infra folders) take priority over project-wide rules to provide specific context.

Can I use this for simple research or documentation?

No, these rules are optimized for implementation and code changes. It is intentionally disabled for documentation-only tasks or exploratory research without code modifications.

When does the skill automatically trigger agents?

It invokes specialized agents like code-analyzer or design-validator based on specific keywords in your request or the complexity level of the task detected.

bkit Core Rules & PDCA Workflow

Name: bkit Core Rules & PDCA Workflow
Author: popup-studio-ai

bypopup-studio-ai

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Productivity & Workflow

Standardizes AI-native development through PDCA methodology, project level detection, and automated task classification.

About

This skill serves as the foundational rule set for the bkit Vibecoding Kit, automating the software development lifecycle within Claude Code. It implements a rigorous PDCA (Plan-Do-Check-Act) workflow, automatically detects project complexity levels (Starter, Dynamic, Enterprise) to tailor Claude's behavior, and triggers specialized agents for reviews and documentation. By enforcing code quality standards like DRY and SRP while managing hierarchical project rules, it ensures consistent, production-grade output across varied codebase architectures, from simple prototypes to complex enterprise systems.

Key Features

Hierarchical rule management for mono-repos and multi-service environments
Context-aware agent auto-triggering for reviews, analysis, and reporting
Intelligent project level detection (Starter, Dynamic, Enterprise) based on file structure
6 GitHub stars
Automated PDCA (Plan-Do-Check-Act) development lifecycle management
Strict code quality enforcement covering DRY, SRP, and extensibility principles

Use Cases

Scaling a prototype into a production-ready dynamic application with automated guidance
Automating gap analysis and post-implementation reporting for major feature releases
Maintaining consistent coding standards and design documentation in enterprise-grade repositories

About

Key Features

Hierarchical rule management for mono-repos and multi-service environments
Context-aware agent auto-triggering for reviews, analysis, and reporting
Intelligent project level detection (Starter, Dynamic, Enterprise) based on file structure
6 GitHub stars
Automated PDCA (Plan-Do-Check-Act) development lifecycle management
Strict code quality enforcement covering DRY, SRP, and extensibility principles

Use Cases

Scaling a prototype into a production-ready dynamic application with automated guidance
Automating gap analysis and post-implementation reporting for major feature releases
Maintaining consistent coding standards and design documentation in enterprise-grade repositories