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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生産性とワークフロー

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

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.

主な機能

01Hierarchical rule management for mono-repos and multi-service environments

02Context-aware agent auto-triggering for reviews, analysis, and reporting

03Intelligent project level detection (Starter, Dynamic, Enterprise) based on file structure

046 GitHub stars

05Automated PDCA (Plan-Do-Check-Act) development lifecycle management

06Strict code quality enforcement covering DRY, SRP, and extensibility principles

ユースケース

01Scaling a prototype into a production-ready dynamic application with automated guidance

02Automating gap analysis and post-implementation reporting for major feature releases

03Maintaining consistent coding standards and design documentation in enterprise-grade repositories

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add popup-studio-ai/bkit-claude-code bkit-rules

For use in Claude.ai and ChatGPT

Download Skill