pm-ai-delivery-control

Manage project lifecycles, requirements, scope, work packages, and stage closures.

2|Updated May 26, 2026
One-click install
npx skills add https://github.com/Shak-Zhu/PM-AI-Skill --skill pm-ai-delivery-control
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pm-ai-delivery-control
Source: https://github.com/Shak-Zhu/PM-AI-Skill/tree/main/pm-ai-delivery-control
Command: npx skills add https://github.com/Shak-Zhu/PM-AI-Skill --skill pm-ai-delivery-control

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides an AI-powered project management solution, streamlining the delivery of vibe coding and AI-assisted software projects. It manages the entire project lifecycle, from requirements to delivery, ensuring structured governance and efficiency.

Core Features & Use Cases

  • Memory Boot: Quickly restore project state and maintain context before key actions.
  • Requirements Clarification: Facilitate interviews, acceptance criteria confirmation, and requirements register maintenance.
  • Scope Baseline: Establish and maintain a scope baseline to prevent scope creep.
  • WBS/Backlog: Support various delivery modes with a comprehensive work breakdown structure.
  • Coder Work Packages: Issue structured work packages to Coder with clear acceptance criteria.
  • PM/QC Review: Conduct tiered reviews with quantified pass criteria and clear acceptance decisions.
  • Change/RAID/Exception Control: Manage change, risk, issue, and dependency logs, with an escalation mechanism.
  • Completion Determination: Determine project completion based on product capability, not effort spent.
  • Stage Closure: Perform stage closure processes, handover checklists, and lessons learned documentation.
  • Use Case: A project manager can use this Skill to start a new project, manage requirements, maintain scope, issue work packages, conduct reviews, manage changes, and close project stages.

Quick Start

Start a new project using the pm-ai-delivery-control skill by following the instructions in the QUICKSTART.md file.

Frequently Asked Questions about pm-ai-delivery-control

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

FAQPage Schema
How do I manage scope creep in AI-assisted software delivery?▼

To manage scope creep in AI-assisted software delivery, you establish a strict scope baseline upfront and maintain it through structured governance. This ensures all changes are tracked against the original requirements register.

What is a work breakdown structure for AI project lifecycles?▼

A work breakdown structure for AI project lifecycles decomposes project scope into manageable coder work packages. These packages include clear acceptance criteria to guide AI-assisted development and subsequent quality control reviews.

How do I handle change management and risk tracking during software delivery?▼

You handle change management and risk tracking by maintaining dedicated RAID logs. This captures risks, issues, and dependencies, providing an escalation mechanism for exceptions during the project lifecycle.

How do I determine project completion for AI-assisted coding projects?▼

Project completion for AI-assisted coding projects is determined by evaluating actual product capability rather than effort spent. This is followed by a formal stage closure process to document lessons learned and handover checklists.

Do I need prior project management knowledge to use structured governance for software delivery?▼

Yes, you need a solid understanding of project management principles and practices. The system relies on these foundations to automate lifecycle management, requirements clarification, and tiered PM/QC reviews effectively.