What is the PUA skill for Claude Code?

It is a specialized capability that prevents the AI from giving up on difficult tasks by using structured corporate accountability frameworks to drive deeper, more exhaustive troubleshooting.

What are the proactivity levels in this skill?

The skill categorizes behavior into 'Passive (3.25)' and 'Active (3.75)', numerically ranking the AI's output to nudge it toward more thorough, end-to-end task delivery.

When does this skill activate?

It triggers automatically when a task fails twice, when the agent suggests manual user intervention, or when Claude shows signs of passive behavior or repetitive loops.

Can I use this for non-coding tasks?

Yes, while excellent for debugging, it applies to all task types including research, writing, and planning, ensuring the AI exhausts all options before stopping.

Does this skill help with AI 'laziness'?

Absolutely. It is specifically designed to combat 'lazy' behavior by forcing the agent to verify its own work, search more deeply, and take full 'owner' responsibility for the result.

PUA Resilience & Ownership Engine

Name: PUA Resilience & Ownership Engine
Author: ValorVie

byValorVie

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Herramientas para Desarrolladores

Drives Claude to exhaustively solve complex problems through high-pressure corporate accountability frameworks and proactive troubleshooting methods.

The PUA Resilience Engine is a specialized capability designed to eliminate AI passivity and premature task abandonment. By implementing a satirical yet effective high-stakes corporate management persona, this skill forces Claude to exhaust every possible solution path before declaring failure. It employs a multi-tiered pressure system—ranging from performance reviews to 'career' warnings—and a mandatory 7-point verification checklist to ensure deep dives into source code, documentation, and system logs. It is the ultimate tool for breaking out of infinite loops and overcoming difficult debugging hurdles that usually lead to agent fatigue.

Características Principales

01Satirical corporate 'personas' (Alibaba, ByteDance, Huawei styles) to shift problem-solving mindsets

02Automatic triggers for passive behavior, environmental blaming, and loop detection

035 GitHub stars

04Performance ranking logic (3.25 vs 3.75) to incentivize proactive tool use

05Mandatory 7-point 'High-Ownership' checklist for complex troubleshooting

06Multi-level pressure escalation (L1-L4) based on task failure frequency

Casos de Uso

01Ensuring end-to-end delivery of complex deployments without the AI asking for manual intervention

02Solving persistent, elusive bugs that have resisted multiple traditional debugging attempts

03Conducting deep-dive research when initial search results or documentation are insufficient

Características Principales

01Satirical corporate 'personas' (Alibaba, ByteDance, Huawei styles) to shift problem-solving mindsets

02Automatic triggers for passive behavior, environmental blaming, and loop detection

035 GitHub stars

04Performance ranking logic (3.25 vs 3.75) to incentivize proactive tool use

05Mandatory 7-point 'High-Ownership' checklist for complex troubleshooting

06Multi-level pressure escalation (L1-L4) based on task failure frequency

Casos de Uso

01Ensuring end-to-end delivery of complex deployments without the AI asking for manual intervention

02Solving persistent, elusive bugs that have resisted multiple traditional debugging attempts

03Conducting deep-dive research when initial search results or documentation are insufficient