pua

Explore all viable solution paths to resolve stubborn task failures.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/dnachavez/neatpo --skill pua-dnachavez
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pua
Source: https://github.com/dnachavez/neatpo/tree/main/.agents/skills/pua
Command: npx skills add https://github.com/dnachavez/neatpo --skill pua-dnachavez

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI often stalls on difficult tasks or repeats the same failed approach. This skill ensures exhaustively exploring all viable solutions and forcing progress with evidence-driven conclusions.

Core Features & Use Cases

  • Exhaustive solution exploration across coding, debugging, research, writing, and planning to avoid stagnation.
  • Proactivity framework with defined levels and an ownership mindset to drive end-to-end delivery.
  • Structured reporting and escalation using PUA-inspired prompts to maintain progress and accountability.

Quick Start

Provide an end-to-end solution by exhaustively listing all viable approaches, validating each, and delivering a verified result with evidence.

Frequently Asked Questions about pua

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

FAQPage Schema
How do I stop an AI agent from repeating the same failed debugging approach?

To stop an AI agent from repeating failed debugging approaches, enforce a systematic five-step failure-handling workflow that exhaustively explores all viable solution paths and validates each with evidence.

What is the best way to ensure an AI agent takes ownership of complex coding tasks?

Ensuring an AI agent takes ownership of complex coding tasks requires applying a proactivity framework with defined levels and an ownership mindset to drive end-to-end delivery without stalls.

How does exhaustive solution exploration work for stubborn task failures?

Exhaustive solution exploration works by listing all viable approaches across coding, debugging, research, writing, and planning, validating each one, and delivering a verified result with evidence to prevent stagnation.

Can I use structured reporting to escalate AI stalls during research and planning?

You can use structured reporting and escalation with PUA-inspired prompts to maintain progress and accountability when an AI stalls during research, planning, or writing tasks.

Does this systematic failure-handling workflow support agent-team integration?

The systematic failure-handling workflow supports optional agent-team integration to collaboratively push the AI to exhaust all options and solve stubborn task failures.

Why does an AI agent stall on difficult tasks and how do I force progress?

An AI agent stalls on difficult tasks by avoiding exhaustive solution exploration; you force progress by applying PUA-inspired prompts and a structured reporting workflow to ensure evidence-driven conclusions.