aidlc

Automate structured software development workflows with adaptive phases and approval gates.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/alex-quan-001/nutshell-skills --skill aidlc-alex-quan-001
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aidlc
Source: https://github.com/alex-quan-001/nutshell-skills/tree/main/skills/openclaw/aidlc
Command: npx skills add https://github.com/alex-quan-001/nutshell-skills --skill aidlc-alex-quan-001

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of inconsistent and inefficient AI-assisted software development by providing a structured, adaptive methodology that tailors its workflow to project complexity, ensuring proper requirements gathering, design, implementation, and testing without unnecessary overhead.

Core Features & Use Cases

  • Adaptive Three-Phase Workflow: Intelligently selects and executes INCEPTION, CONSTRUCTION, and OPERATIONS phases based on project needs, skipping unnecessary stages for simple tasks while providing comprehensive coverage for complex projects.
  • Guided Development Process: Automates workspace detection, requirements analysis, user story creation, application design, unit decomposition, code generation, and build/test orchestration with mandatory approval gates and complete audit trails.
  • Use Case: A developer starting a new microservices project can use this Skill to automatically detect the workspace, gather requirements through structured questioning, design the application architecture, decompose into units of work, generate code, and create build/test instructions.

Quick Start

Invoke the aidlc skill with your development task description to begin the adaptive workflow, which will analyze your workspace, ask clarifying questions via dedicated markdown files, and guide you through each phase with approval checkpoints until working code and tests are delivered.

Frequently Asked Questions about aidlc

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

FAQPage Schema
How do I structure AI-assisted software development workflows for coding agents?

AI-assisted software development workflows can be structured using an adaptive three-phase methodology covering INCEPTION, CONSTRUCTION, and OPERATIONS, which automates requirements analysis, code generation, and testing with approval gates for deterministic lifecycle management.

Can I use a structured development lifecycle for both new and existing codebases?

Yes, a structured development lifecycle supports both greenfield and brownfield projects by adapting its workflow complexity, skipping unnecessary stages for simple bug fixes while providing full architectural design and unit decomposition for new applications.

What is the best way to automate requirements analysis and code generation with AI?

Automating requirements analysis and code generation requires a guided process that detects the workspace, gathers requirements through structured questioning, decomposes work into units, and orchestrates build and test instructions with complete audit trails.

Does this adaptive workflow approach work with AI coding agents like Claude Code and Codex?

Yes, this adaptive workflow integrates with AI coding agents like Claude Code, OpenCode, and Codex by providing a deterministic, auditable development lifecycle that uses markdown files for clarifying questions and user approval checkpoints.

How do I ensure consistent testing and architectural design when using AI for software development?

Consistent testing and architectural design are ensured by applying an adaptive methodology that mandates requirements gathering, application design, and comprehensive build/test orchestration with user approval gates before delivering working code.