mbmd AIPDLC — The AI-* PDLC (Product Development Life Cycle) 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 PDLC (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
╔══════════ 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 (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 (Idea Life Cycle) | Raw idea → Approved Idea Brief | Product Manager |
| AI-PILC (Project Initiation Life Cycle) | Requirement → Project Initiation Package | PMO Advisor |
| AI-PPM (Project Portfolio Management) | Multiple PIPs → Portfolio governance | Portfolio Manager |
| AI-FLO (Flow Orchestrator) | Package-to-package routing | Orchestration Engine |
| AI-POLC (Product Ownership Life Cycle) | PIP → Product Backlog Package | Product Owner |
| AI-UXD (UX Design) | PIP + PBP → UX Design Package | UX Designer |
| AI-ADLC (Architecture Design Life Cycle) | Requirements → Architecture Package | CTO / Architect |
| AI-DWG (Workspace Generator) | AP + PBP + UXP → Ready-to-code workspace | DevOps Engineer |
| AI-GCE (Governance & Compliance Engine) | Workspace → Compliance enforcement | Governance Officer |
| AI-TGE (Test Governance Engine) | Workspace → Test strategy & coverage | QA Lead |
How to Use
Quick start (single package)
Tell your AI agent:
Using AI-PILC, help me initiate this project from my requirements.
Using AI-ADLC, design the architecture for this system.
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 package set into a temporary nested folder, run the installer against your workspace root, then delete the source. This keeps your workspace root clean — the installer only leaves .aiflc/pdlc/ (the package home) and pdlc-ws/ (your outputs) behind.
# 1. Clone into a temporary folder — NOT your workspace root
git clone https://github.com/mbmd/AIPDLC.git .aiflc-src/AIPDLC
# 2. Install into your workspace root (add --platform / --bundle to skip prompts)
./.aiflc-src/AIPDLC/installer/install.sh --target .
# 3. Remove the source — nothing unnecessary is left in your root
rm -rf .aiflc-src
On Windows (PowerShell):
git clone https://github.com/mbmd/AIPDLC.git .aiflc-src/AIPDLC
.\.aiflc-src\AIPDLC\installer\install.ps1 -TargetWorkspace .
Remove-Item -Recurse -Force .aiflc-src
The installer copies each package into .aiflc/pdlc/ and creates pdlc-ws/ for your outputs. For platform-specific detail, see each package's setup/INSTALL.md.
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
Built on AIFLC by Mohammad Maheri — part of the AI Full Life Cycle project.