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.