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jikime-foundation-core

Define JikiME-ADK foundational principles and architectural patterns for AI-driven development workflows.

5|1|Updated Jan 24, 2026
Search Tags:#architecture#ddd#delegation#token optimization#foundation#trust-5
One-click install
npx skills add https://github.com/jikime/jikime-adk --skill jikime-foundation-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jikime-foundation-core
Source: https://github.com/jikime/jikime-adk/tree/main/templates/.claude/skills/jikime-foundation-core
Command: npx skills add https://github.com/jikime/jikime-adk --skill jikime-foundation-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill provides the foundational principles and architectural patterns necessary for building high-quality, efficient, and scalable AI-powered development workflows within the JikiME-ADK ecosystem. It addresses the need for standardized quality, structured development, and optimized resource management.

Core Features & Use Cases

  • Standardized Quality: Enforces the TRUST 5 framework (Test-first, Readable, Unified, Secured, Trackable) for consistent code quality.
  • Structured Development: Guides development through the SPEC-First DDD workflow (Specification, Domain-Driven Development, Documentation).
  • Efficient Orchestration: Implements Delegation Patterns for task distribution among specialized agents.
  • Resource Optimization: Focuses on Token Optimization and Progressive Disclosure for cost-effective and user-friendly AI interactions.
  • Use Case: When creating a new AI agent or skill, developers can consult this Skill to understand and apply the core principles, ensuring adherence to JikiME-ADK's best practices from the outset.

Quick Start

Use the jikime-foundation-core skill to understand the TRUST 5 quality principles.

Frequently Asked Questions about jikime-foundation-core

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the TRUST 5 framework for AI development quality standards?▼

The TRUST 5 framework is a quality standard for AI development ensuring code is Test-first, Readable, Unified, Secured, and Trackable. It provides consistent quality principles for building scalable AI-powered workflows.

How do I apply Domain-Driven Design to AI agent workflows?▼

You apply Domain-Driven Design to AI agents through the SPEC-First DDD methodology. This workflow structures development by prioritizing specifications, domain modeling, and documentation to ensure structured and maintainable AI systems.

What are the best patterns for agent orchestration and task delegation?▼

Delegation patterns provide the best approach for agent orchestration by distributing tasks among specialized AI agents. This ensures efficient orchestration, modular system design, and scalable architecture for complex AI-driven development workflows.

How does token optimization improve AI interaction efficiency?▼

Token optimization improves AI interaction efficiency by minimizing resource consumption during content delivery. Combined with progressive disclosure, it ensures cost-effective and user-friendly AI interactions by only exposing necessary content layers.

Do I need JikiME-ADK to use these foundational architecture principles?▼

You need the JikiME-ADK ecosystem context to fully leverage these foundational architecture principles. The principles are specifically designed to ensure adherence to JikiME-ADK's quality, efficiency, and maintainability standards for AI-driven development.

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