pua-agent-performance-skill

You can enforce proactive debugging by applying a structured performance pressure system that triggers a four-level escalation framework, forcing the AI agent to execute a mandatory five-step debugging methodology until the task is resolved.

A structured debugging methodology for AI agents is a mandatory five-step proactive checklist enforced through performance pressure, ensuring the agent systematically analyzes failures and executes different resolution approaches instead of exhibiting passive behavior.

Yes, the performance pressure system supports multiple agent platforms including Cursor, Claude Code, OpenAI Codex CLI, Kiro, OpenClaw, Antigravity, and OpenCode, applying its escalation framework across these environments.

You implement an escalation framework by integrating a performance pressure skill that automatically increases pressure levels when the AI agent fails, utilizing corporate performance review rhetoric to enforce proactive task completion.

AI agents abandon tasks due to passive behavior; you can force them to try harder by triggering a performance review system that applies escalating pressure and mandates a systematic debugging checklist until the solution is found.