Performance profiler
Skill rafaelghif/antigravity-agents/.agents/skills/performance-profiler
Enterprise-Grade Guardrails, Zero-Assumption Execution, and Quality Gates for Autonomous AI Coding Agents.
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Profile code for performance regressions
SKILL.md
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Performance Profiler Skill
Objective
Identify and resolve performance bottlenecks such as N+1 queries, memory leaks, and inefficient algorithms.
When to Execute
- When modifying database queries or loops processing large datasets.
- During PR reviews for performance-critical modules.
Execution Steps
- Check for N+1 queries in ORM/database operations.
- Analyze loops for inefficient algorithmic complexity (e.g., O(n²) vs O(n)).
- Check for memory leaks. Run memory profiler in production mode for 5 minutes with simulated load. Track heap size growth pattern: if +10% in <5 minutes → investigate. Check event listener count:
process._getActiveHandles()(Node.js) orlen(weakref.getweakrefs())(Python). Report findings with before/after heap snapshots. - For frontend applications, run Lighthouse (or similar) to evaluate performance metrics.
- Report findings in
.agents/plans/perf-<date>.mdand propose optimizations.