Enforce a five-step Performance Improvement Plan workflow before escalation.
npx skills add https://github.com/sandmark78/workspace --skill pua-en-sandmark78
Please help me install this Agent Skill. Skill: pua-en Source: https://github.com/sandmark78/workspace/tree/main/skills/pua-en Command: npx skills add https://github.com/sandmark78/workspace --skill pua-en-sandmark78
The PUA-EN skill enforces a disciplined, proactive approach to underperforming AI tasks by demanding exhaustive problem solving, dive-deep investigation, and ownership before escalation.
Initiate the PIP workflow on a failing task to enforce exhaustive investigation and proactive ownership before escalation.
High-intent search queries and answers about installing and using this skill.
To enforce structured problem solving before escalating failing AI tasks, apply a five-step methodology and a seven-item checklist that drives exhaustive investigation and proactive ownership across code, debugging, and deployment workflows.
A performance improvement plan for AI is a structured workflow enforcing proactive initiative and risk mitigation during complex or repeated-failure scenarios. You should use it to demand dive-deep investigation and accountability before escalating failing tasks.
Yes, the performance improvement plan workflow applies to all task types including research, writing, planning, and ops. It establishes three Non-Negotiables to drive proactive investigation and ownership across any domain requiring structured problem-solving discipline.
You configure escalation paths for underperforming AI tasks by selecting from multiple flavor profiles for feedback and following a structured five-step methodology. This approach provides built-in toxicity controls and team integration options for clear accountability.
The limitation of using a structured PIP workflow for AI risk management is that it demands exhaustive problem solving and dive-deep investigation, which may increase turnaround time for tasks that require immediate escalation or rapid deployment without proactive initiative.
Claude-Code-Community-IrelandAnalyze metrics, engineer prompts, and test AI agents iteratively.
eysenfalkEscalate agent tasks from Haiku to Sonnet to Opus on failure signals.
077tanApply a 5-step debugging process with a mandatory post-task checklist.
SwimmingLiuEnforce systematic debugging and proactive problem-solving for AI agents.
