aipo

Automate AI Product Owner workflows with a Sense, Focus, Discover, and Deliver cycle.

73|2|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/miyatti777/aipo --skill aipo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aipo
Source: https://github.com/miyatti777/aipo/tree/main
Command: npx skills add https://github.com/miyatti777/aipo --skill aipo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables GOAL-driven automation of AI Product Owner tasks, driving end-to-end workflows from Sense to Deliver and reducing the need for repetitive manual instructions. By orchestrating recursive task decomposition across hierarchical layers, it ensures context is preserved and actions are aligned with the GOAL.

Core Features & Use Cases

  • Recursive task decomposition and Sense/Focus/Discover/Deliver cycle automation for product initiatives.
  • HITL collaboration with robust context inheritance and cross-layer context cascade.
  • Template-driven execution: leverages command templates, context rules, and standardized outputs for scalable operations.
  • Use case: initialize a new project, create sublayers, generate commands, and execute tasks across an end-to-end product workflow.

Quick Start

To begin, provide a GOAL and run /aipo/01_sense to initialize a new Layer and start the iterative workflow.

Frequently Asked Questions about aipo

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

FAQPage Schema
How do I automate recursive task decomposition for product management workflows?

Recursive task decomposition is automated by orchestrating hierarchical sublayers that preserve context and align actions with the GOAL. This reduces repetitive manual instructions across the end-to-end product workflow.

What is the Sense to Deliver cycle in GOAL-driven product management?

The Sense to Deliver cycle is a workflow mechanism that iteratively progresses through Sense, Focus, Discover, and Deliver phases. It drives end-to-end GOAL-driven automation for AI Product Owner tasks.

How do I initialize a new project layer using GOAL-driven automation?

To initialize a new project layer, provide a GOAL and run the sense command to start the iterative workflow. This generates sublayers and command templates to execute tasks across the product cycle.

Does this workflow support Human-in-the-Loop (HITL) coordination across hierarchical tasks?

HITL coordination is supported with robust context inheritance and cross-layer context cascade. This ensures context is preserved across hierarchical layers during template-driven execution.

Can I use command templates to standardize outputs for scalable product operations?

Command templates, context rules, and standardized outputs are leveraged for scalable operations. This template-driven execution integrates with context systems to orchestrate end-to-end automation.

What are the limitations of using GOAL-driven automation for AI Product Owner tasks?

GOAL-driven automation relies on recursive task decomposition and hierarchical context inheritance, meaning complex workflows require structured GOAL inputs and consistent context system integration to maintain alignment across sublayers.