Profile CPU, memory, rendering, and I/O bottlenecks against performance budgets.
npx skills add https://github.com/easonlao/jiazi-game --skill perf-profile-easonlao
Please help me install this Agent Skill. Skill: perf-profile Source: https://github.com/easonlao/jiazi-game/tree/main/.claude/skills/perf-profile Command: npx skills add https://github.com/easonlao/jiazi-game --skill perf-profile-easonlao
It helps you identify performance bottlenecks, quantify them against concrete budgets, and turn findings into prioritized optimization recommendations instead of guessing.
Request a full performance profile by asking: "Run perf-profile with argument 'full' and produce the report with top hotspots, headroom vs budget, and recommended next actions."
High-intent search queries and answers about installing and using this skill.
Performance profiling resolves troubleshooting by scanning your codebase to locate CPU, memory, rendering, and I/O bottlenecks. It compares estimated current values against frame time and draw call budgets, producing a structured report with prioritized hotspots.
Budget-driven performance profiling is an analysis method that loads or infers targets for constraints like frame time and memory, then compares them against current estimated values. This reveals available headroom and pinpoints exactly where optimization actions are needed.
You can generate a performance optimization plan by passing a named system as an argument to scope the profiling. The analysis produces a structured report with hotspots, risk and effort estimates, quick wins, and next-step decision guidance for that specific system.
Yes, you can profile application performance without explicit targets. The analysis will infer targets for constraints like frame time, memory, and load time from available context, then compare estimated current values to those inferred budgets to guide optimization.
You should request a full performance profile when you need a comprehensive pass across all systems rather than focusing on a named bottleneck. This produces a complete report with top hotspots, overall headroom versus budget, and recommended next actions.
mokbhaiProfile Python CPU, memory, and I/O usage with cProfile and py-spy.
imgamerGenerate structured performance profiling reports comparing CPU, memory, rendering, and I/O hotspots against budgets.
FrancisVargaGenerate a structured performance profiling workflow identifying CPU, memory, rendering, and I/O bottlenecks.
rahul-s-bhattProfile Python code to identify and reduce execution bottlenecks.
