pdlc-x

原始内容

---
name: aipdlc
description: "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."
version: 0.1.0-beta.1
author: Mohammad Maheri
license: Apache-2.0
tags:
  - sdlc
  - architecture
  - project-management
  - governance
  - testing
  - workflow
  - process
  - ai-coding-assistant
  - product-development
---

# 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:

```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](https://www.linkedin.com/in/mohammad-maheri-8399565b)
- **License:** Apache 2.0 with Attribution Addendum

---

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

name: aipdlc description: "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." version: 0.1.0-beta.1 author: Mohammad Maheri license: Apache-2.0 tags:

sdlc
architecture
project-management
governance
testing
workflow
process
ai-coding-assistant
product-development

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.