bkit Vibecoding Kit - PDCA methodology + Claude Code mastery for AI-native development
# Add to your Claude Code skills
git clone https://github.com/popup-studio-ai/bkit-claude-codePDCA methodology + AI coding assistant mastery for AI-native development
bkit is a Claude Code plugin 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.

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 for Claude Code.
bkit implements Context Engineering through three interconnected layers:
| Layer | Components | Purpose | |-------|------------|---------| | Domain Knowledge | 21 Skills | Structured expert knowledge (phases, levels, specialized domains) | | | 11 Agents | Role-based constraints with model selection (opus/sonnet/haiku) | | | 86+ Functions | PDCA status, intent detection, ambiguity scoring, multi-feature context |
Context injection occurs at five distinct layers:
Layer 1: hooks.json (Global) → SessionStart, UserPromptSubmit, PreCompact, PreToolUse, PostToolUse, Stop
Layer 2: Skill Frontmatter → Domain-specific hooks (deprecated in v1.4.4, use hooks.json)
Layer 3: Agent Frontmatter → Task-specific hooks with constraints
Layer 4: Description Triggers → Semantic matching in 8 languages
Layer 5: Scripts (39 modules) → Actual Node.js execution logic with unified handlers
Learn more: See Context Engineering Principles for detailed implementation.
