ww-w-ai

Bkit Codex — AI skill for Claude Code

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bkit Vibecoding Kit for OpenAI Codex - PDCA + Context Engineering for AI-native development.

How to install Bkit Codex

This entry records only its repository, not the path inside it, so there is no exact command to give. Open ww-w-ai/bkit-codex and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Bkit Codex does

bkit Vibecoding Kit for OpenAI Codex - PDCA + Context Engineering for AI-native development.

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README

bkit-codex - Vibecoding Kit (OpenAI Codex Edition)

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![Codex CLI](https://img.shields.io/badge/Codex%20CLI-v0.100.0+-blue.svg)](https://github.com/openai/codex) [![Version](https://img.shields.io/badge/Version-1.0.1-green.svg)](CHANGELOG.md) [![Author](https://img.shields.io/badge/Author-POPUP%20STUDIO-orange.svg)](https://popupstudio.ai)

**PDCA methodology + Context Engineering for AI-native development**

bkit-codex is an [OpenAI Codex CLI](https://github.com/openai/codex) extension that transforms how you build software with AI. It provides structured development workflows, automatic documentation, and intelligent code assistance through the PDCA (Plan-Do-Check-Act) methodology and Context Engineering architecture.

What is Context Engineering?

**Context Engineering** is the systematic curation of context tokens for optimal LLM inference -- going beyond simple prompt crafting to build entire systems that consistently guide AI behavior.

Traditional Prompt Engineering:
  "The art of writing good prompts"

Context Engineering:
  "The art of designing systems that integrate prompts, tools, and state
   to provide LLMs with optimal context for inference"

**bkit is a practical implementation of Context Engineering**, providing a systematic context management system across multiple AI coding platforms.

bkit-codex's Context Engineering Architecture

bkit-codex implements Context Engineering through three interconnected layers:

Layer	Components	Count	Purpose
Domain Knowledge	Skills	27	Structured expert knowledge activated on-demand via progressive disclosure
Behavioral Rules	AGENTS.md	2 files	Global + Project rules with MUST/ALWAYS/NEVER enforcement
State Management	MCP Tools + Lib Modules	16 + 80 fn	PDCA status tracking, intent detection,