Pdlc

AIFLC PDLC Family — 11 injectable workflow packages that guide AI coding agents through professional software delivery: idea evaluation → project initiation → portfolio governance → product ownership → UX design → architecture → workspace generation → compliance → test accountability.

AIPDLC — The AI-* PDLC Family

Injectable workflow packages that give AI coding agents structured expertise for professional software delivery.

What This Skill Provides

When installed, your AI agent gains access to 11 chained workflow packages covering the full Product Development Life Cycle — from raw idea to production-ready workspace with governance and test accountability baked in.

Each package makes your agent behave like a senior domain expert: a PMO advisor for initiation, a CTO/architect for design, a DevOps engineer for workspace setup, a compliance officer for governance, a QA lead for test strategy. No plugins, no APIs — just markdown-based procedural knowledge your agent reads and executes.

The Chain

text

╔══════════ PORTFOLIO LAYER · scope = MANY projects ══════════╗

   (optional)
    AI-ILC  ⇢  AI-PILC  ⇢  AI-PPM
    Decide it   Initiate it   Govern it (portfolio)

╚═══════════════════════╤═════════════════════════════════════╝
                         │
                      AI-FLO   Route it (package-to-package)
                         │
╔══════════ PROJECT LAYER · scope = ONE project ══════════════╗

    AI-POLC → AI-UXD → AI-ADLC → AI-DWG → AI-DLC v1 (build)
    Own it    Design UX  Design it  Prepare it

    AI-GCE + AI-TGE ── alongside (continuous quality) ──►
    Guard it  Test it

╚═════════════════════════════════════════════════════════════╝

Packages at a Glance

Package	What It Does	Expert Role
AI-ILC	Raw idea → Approved Idea Brief	Product Manager
AI-PILC	Requirement → Project Initiation Package	PMO Advisor
AI-PPM	Multiple PIPs → Portfolio governance	Portfolio Manager
AI-FLO	Package-to-package routing	Orchestration Engine
AI-POLC	PIP → Product Backlog Package	Product Owner
AI-UXD	PIP + PBP → UX Design Package	UX Designer
AI-ADLC	Requirements → Architecture Package	CTO / Architect
AI-DWG	AP + PBP + UXP → Ready-to-code workspace	DevOps Engineer
AI-GCE	Workspace → Compliance enforcement	Governance Officer
AI-TGE	Workspace → Test strategy & coverage	QA Lead

How to Use

Quick start (single package)

Tell your AI agent:

text

Using AI-PILC, help me initiate this project from my requirements.

text

Using AI-ADLC, design the architecture for this system.

text

Using AI-DWG, generate a development workspace from this architecture.

Full chain

Start at AI-ILC or AI-PILC and let each package hand off to the next. Every stage has a human approval gate — the AI proposes, you decide.

Standalone or chained

Each package works independently. You can install one, a few, or all eleven. When chained, each detects its predecessor's output and enriches its own work. When standalone, it handles missing predecessors gracefully.

Key Principles

• Human-in-the-loop — approval gates at every stage
• Injectable — drop files into any workspace, no plugins
• Professional quality — output reads as if written by a senior domain expert
• Platform-agnostic — works with any AI assistant that reads workspace files
• Chain-aware — packages hand off via state markers, but each works alone too
• Adaptive depth — Minimal / Standard / Comprehensive tiers match project complexity

Supported Platforms

Works with 6+ AI coding platforms:

• Kiro
• Amazon Q Developer
• Cursor
• Claude Code
• Cline
• GitHub Copilot (partial — workspace instructions only)
• Any AI assistant that reads workspace markdown files

Installation

After installing this skill, clone the full package set:

bash

git clone https://github.com/mbmd/AIPDLC.git

Then follow each package's setup/INSTALL.md for your specific platform — or use the interactive installer:

powershell

# Windows
.\installer\install.ps1

# macOS / Linux
./installer/install.sh

Learn More

• Repository: https://github.com/mbmd/AIPDLC
• Umbrella project: https://github.com/mbmd/AIFLC
• Author: Mohammad Maheri
• License: Apache 2.0 with Attribution Addendum

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Built on AIFLC by Mohammad Maheri — part of the AI Full Life Cycle project.