ai-era-development-workflow

Orchestrate multi-file software development tasks with AI agents and MCP-integrated tools.

6|2|Updated Dec 24, 2025
One-click install
npx skills add https://github.com/Gaku52/software-engineering-universe --skill ai-era-development-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-era-development-workflow
Source: https://github.com/Gaku52/software-engineering-universe/tree/main/ja/07-ai/ai-era-development-workflow
Command: npx skills add https://github.com/Gaku52/software-engineering-universe --skill ai-era-development-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of coordinating AI-assisted software development workflows, uniting coding, testing, reviews, and governance into a repeatable, efficient process.

Core Features & Use Cases

  • AI-driven orchestration across repository boundaries with agent workflows
  • Prompt templates, governance checks, and MCP tool integrations to automate routine tasks
  • Knowledge capture via ADRs, KB entries, and AI-assisted documentation for onboarding and learning

Quick Start

Initiate an AI-backed session to structure a project, create an ADR, and scaffold initial tests.

Frequently Asked Questions about ai-era-development-workflow

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

FAQPage Schema
How do I orchestrate AI agents for multi-file software development tasks?

You can orchestrate AI agents for multi-file software development by applying AI-driven workflows, prompt templates, and MCP tool integrations to coordinate coding, testing, and reviews across repository boundaries.

What is the best way to integrate MCP tools into an AI development workflow?

Integrating MCP tools into an AI development workflow involves using prompt templates and governance checks to automate routine tasks, ensuring coordinated coding and testing across teams.

Can I use AI orchestration to manage software governance and code reviews?

Yes, AI orchestration can manage software governance and code reviews by applying governance checks and AI-assisted documentation to automate the review process and ensure compliance.

How do I capture architectural decisions when using AI agents for coding?

Capture architectural decisions when using AI agents by utilizing automated prompts and templates that generate ADRs and KB entries, ensuring learnings are documented for onboarding.

Does AI-assisted development workflow support cross-team coordination?

AI-assisted development workflow supports cross-team coordination by uniting coding, testing, reviews, and governance into a repeatable process across repository boundaries.

How do I scaffold initial tests and project structure using an AI-backed session?

You can scaffold initial tests and project structure by initiating an AI-backed session that structures the project, creates an ADR, and sets up the initial testing framework.