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.