Can I use this for code implementation?

No, this skill is specifically designed for documentation and planning tasks. It ensures your documentation is ready before and after the coding phase.

What is the PDCA methodology in this skill?

PDCA stands for Plan, Design (Do), Analysis (Check), and Report (Act). This skill uses these phases to provide a complete documentation lifecycle for every feature you build.

Does this skill help with project organization?

Yes, it enforces a standardized folder structure (docs/01-plan, docs/02-design, etc.) and file naming rules to keep your repository organized and searchable.

How does Claude know which template to use?

The skill is triggered by specific keywords such as 'plan document', 'design document', or 'analysis document'. Claude then selects the appropriate template from the bkit-templates library.

PDCA Documentation Templates

Name: PDCA Documentation Templates
Author: popup-studio-ai

bypopup-studio-ai

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Learning & Documentation

Standardizes software documentation through structured PDCA templates for Plan, Design, Analysis, and Report phases.

About

bkit-templates is a specialized Claude Code skill designed to bring rigor to AI-native development workflows through the PDCA (Plan-Do-Check-Act) methodology. It provides Claude with predefined markdown templates for feature planning, technical design, gap analysis, and completion reporting, ensuring consistency across project documentation. By automating the creation of structured documents with specific output paths and variable substitution, it helps developers and AI agents maintain clear architectural alignment and project traceability without manual formatting overhead.

Key Features

Built-in status tracking and cross-referencing capabilities
Full PDCA lifecycle templates (Plan, Design, Analysis, Report)
Standardized folder structures and naming conventions for project docs
Automatic variable substitution for features, dates, and authors
Integrated CLAUDE.md and document index generation
6 GitHub stars

Use Cases

Automating project post-mortems and completion reports for stakeholders
Generating a comprehensive technical design specification before feature implementation
Conducting a Check-phase gap analysis between design specs and the final codebase

About

Key Features

Built-in status tracking and cross-referencing capabilities
Full PDCA lifecycle templates (Plan, Design, Analysis, Report)
Standardized folder structures and naming conventions for project docs
Automatic variable substitution for features, dates, and authors
Integrated CLAUDE.md and document index generation
6 GitHub stars

Use Cases

Automating project post-mortems and completion reports for stakeholders
Generating a comprehensive technical design specification before feature implementation
Conducting a Check-phase gap analysis between design specs and the final codebase