aidlc-using-devflow

Orchestrate AI-DLC phases with devflow-state.md tracking and audit logging.

2|Updated Mar 10, 2026

Search Tags:#workflow #state management #development lifecycle #orchestration #construction #inception #ai-dlc

Ready to run

npx skills add https://github.com/bluejayA/devflow-aidlc-like --skill aidlc-using-devflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aidlc-using-devflow
Source: https://github.com/bluejayA/devflow-aidlc-like/tree/main/skills/aidlc-using-devflow
Command: npx skills add https://github.com/bluejayA/devflow-aidlc-like --skill aidlc-using-devflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as the central orchestrator for the AI-Driven Development Life Cycle (AI-DLC), managing the entire workflow from inception to construction, ensuring a structured and auditable development process.

Core Features & Use Cases

Orchestration: Manages the sequence of AI-DLC stages (Inception, Construction).
State Management: Initializes and updates the devflow-state.md file to track progress.
Phase Routing: Directs the flow to appropriate orchestrator skills based on the current phase.
Session Management: Handles both new session initiation and resuming interrupted sessions.
Use Case: Kickstart a new software development project by invoking this Skill, which will guide you through defining requirements, planning the architecture, and preparing for code construction.

Quick Start

Start a new AI-DLC workflow by invoking the aidlc-using-devflow skill.

Frequently Asked Questions about aidlc-using-devflow

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

FAQPage Schema

How do I orchestrate an AI-driven development lifecycle from inception to construction?▼

You can orchestrate an AI-driven development lifecycle by invoking the central devflow entry point, which routes your project through structured INCEPTION and CONSTRUCTION phases while tracking progress in a state file.

What is the best way to manage state and track progress in an AI development workflow?▼

The best way to manage state in an AI development workflow is to use an orchestration skill that initializes and updates a devflow-state.md file, ensuring your progress is logged and auditable across sessions.

Can I resume an interrupted AI development workflow session without losing my progress?▼

Yes, you can resume an interrupted AI development workflow session because the orchestrator handles session management and reads the existing devflow-state.md to restore your previous progress.

How does phase routing work in an AI-DLC workflow?▼

Phase routing in an AI-DLC workflow works by using the central orchestrator to direct the flow to appropriate downstream orchestrator skills based on whether the project is currently in the INCEPTION or CONSTRUCTION phase.

Do I need a dedicated entry point to start a new software development project with AI?▼

Yes, you need a dedicated entry point to start a new software development project with AI because it ensures a structured progression through requirements definition, architecture planning, and code construction.

Why does my AI development lifecycle need an audit log?▼

Your AI development lifecycle needs an audit log to provide comprehensive lifecycle tracking, ensuring that every state transition and phase progression is recorded for accountability and debugging.