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
╔══════════ 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:
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 full package set:
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:
# 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
Built on AIFLC by Mohammad Maheri — part of the AI Full Life Cycle project.