Profile XR/AI systems against performance budgets and generate ranked optimization reports.
npx skills add https://github.com/imclab/xrA1-swarm --skill perf-profile-imclab
Please help me install this Agent Skill. Skill: perf-profile Source: https://github.com/imclab/xrA1-swarm/tree/main/.claude/skills/perf-profile Command: npx skills add https://github.com/imclab/xrA1-swarm --skill perf-profile-imclab
This Skill turns vague performance issues into a structured, budget-driven profiling report that identifies bottlenecks and recommends prioritized optimization actions.
Run the perf-profile skill in full mode to generate a comprehensive performance profile across all systems and produce a prioritized optimization recommendation list.
High-intent search queries and answers about installing and using this skill.
Performance bottleneck analysis identifies hotspots by profiling XR systems against explicit or inferred performance budgets for frame time, memory, rendering cost, and loading latency. It produces a structured report with ranked recommendations and estimated fix impact.
Budget validation compares estimated frame time, memory, draw calls, loading latency, and I/O metrics against target hardware constraints. It evaluates whether your systems meet these inferred or explicit budgets and flags violations as actionable hotspot findings.
Prioritizing rendering performance fixes requires a profiling report that ranks hotspot findings by estimated optimization impact and fix effort. This approach categorizes bottlenecks into quick wins, investigation items, and a next-step decision path.
Comprehensive memory analysis runs across all systems for broader diagnosis or targets a single system through scope-based profiling. It requires read-only codebase analysis to validate memory behavior and I/O network constraints against target hardware.
Performance profiling requires read-only codebase analysis to evaluate systems against performance budgets. It does not modify code but produces a structured optimization plan with next-action guidance for implementation, scope reduction, deferral, or escalation.
tomada1114Analyze codebases read-only to identify structure, patterns, and complexity.
imgamerGenerate structured performance profiling reports comparing CPU, memory, rendering, and I/O hotspots against budgets.
quangphu1912Detects circular dependencies, architectural violations, and conflicts in module graphs via static code analysis.
camoneartDesign and deploy Grafana dashboards for real-time system and application metrics.
