pua

Enforces end-to-end task delivery with root-cause analysis and validated outcomes.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/SukiEva/CheckEngine --skill pua-sukieva
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pua
Source: https://github.com/SukiEva/CheckEngine/tree/main/.codex/skills/pua
Command: npx skills add https://github.com/SukiEva/CheckEngine --skill pua-sukieva

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, end-to-end framework that keeps AI from stalling by enforcing proactive ownership, exhaustive exploration, and evidence-based delivery.

Core Features & Use Cases

  • Systematic proactivity: enforces end-to-end task delivery across coding, research, writing, and planning scenarios.
  • Iron rules and step-by-step method: encapsulates three core axioms, Five-Step Diagnostic, and a 7-item self-check to ensure rigor and traceability.
  • Real-world use case: when a task stalls, the Skill guides root-cause analysis, comprehensive exploration, and validated outcomes with auditable outputs.

Quick Start

Provide a task description and I will deliver end-to-end proactive resolution with validation and ownership.

Frequently Asked Questions about pua

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

FAQPage Schema
How do I stop AI from stalling during complex coding and debugging tasks?

To stop AI from stalling during debugging, you need a framework that enforces proactive ownership and systematic root-cause analysis. This Skill applies a Five-Step Diagnostic method to guide AI through exhaustive exploration and validated outcomes.

What is the best way to ensure AI delivers end-to-end problem solving for research and planning?

End-to-end problem solving is ensured by enforcing systematic proactivity across research and planning scenarios. This Skill applies iron rules and a 7-item self-check to guarantee comprehensive exploration and evidence-based delivery.

How do I enforce evidence-based delivery and root-cause analysis in AI outputs?

Enforcing evidence-based delivery requires guiding AI through structured root-cause analysis and experimentation. This Skill provides an auditable output framework with step-by-step checks and failure-mode handling to validate outcomes.

Does this proactive AI methodology work for writing and planning tasks as well as coding?

Yes, this proactive AI methodology works across coding, writing, and planning tasks. It enforces end-to-end task delivery by applying systematic diagnostics and ownership awareness regardless of the specific domain.

Why does AI fail at systematic task validation without a structured methodology?

AI fails at systematic task validation without a structured methodology because it lacks enforced ownership and exhaustive exploration. This Skill applies a 7-item self-check and iron rules to ensure rigor and traceability in diagnostics.