pua

Diagnose failing tasks with a five-step process and seven-check validation.

2|Updated Mar 7, 2026

Search Tags:#workflow #debugging #ownership #ai-agent #proactivity #pua

Ready to run

npx skills add https://github.com/laleoarrow/iData --skill pua-laleoarrow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pua
Source: https://github.com/laleoarrow/iData/tree/main/.agents/skills/pua
Command: npx skills add https://github.com/laleoarrow/iData --skill pua-laleoarrow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

让 AI 在面对任务失败或反复调试时，主动出击、系统化诊断并完成端到端解决，避免被动等待或放弃。

Core Features & Use Cases

主动推动：遇到失败时自动开启 owner-意识，拉高视角并执行自检、验证与回归。
统一方法论：整合诊断卡壳、拉头发、5 步法则与 7 项检查清单，确保可重复和可验证。
典型场景：在编程、研究、写作等任务遇到困难时，提供结构化的解决路径和可执行的输出证据。

Quick Start

Take ownership of a task and drive it to end-to-end resolution using proactive debugging steps.

Frequently Asked Questions about pua

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

FAQPage Schema

How do I make an AI agent take ownership of debugging tasks end-to-end?▼

To make an AI agent take ownership of debugging tasks, you need a proactive workflow that enforces a five-step diagnostic process and seven-check validation framework to drive end-to-end resolution with evidence.

What is the best way to stop an AI agent from getting stuck during debugging?▼

The best way to stop an AI agent from getting stuck during debugging is applying proactive ownership modes that trigger systematic diagnosis and validation, preventing passive waiting or abandonment when facing failures.

Can I use proactive debugging workflows for research and writing tasks?▼

Yes, you can use proactive debugging workflows for research and writing tasks. The methodology applies unified ownership and verification processes across coding, research, writing, planning, and operations to ensure closure.

How does the five-step diagnostic process work for AI agents?▼

The five-step diagnostic process works by requiring AI agents to proactively self-check, verify, and execute regression checks upon task failure, ensuring structured problem-solving and actionable output evidence before closure.

What should I do when my AI agent passively waits after a task failure?▼

When an AI agent passively waits after a task failure, apply a proactivity-driven workflow to elevate perspective, initiate owner-consciousness, and execute systematic validation to achieve end-to-end delivery.

Are there limitations to using ownership-driven workflows for AI task resolution?▼

Limitations of ownership-driven workflows depend on task complexity, as the framework requires strict adherence to a seven-check validation framework and five-step diagnostic process to ensure verifiable closure with evidence.