# Performance Profiling

> Profile likely hotspots and turn performance work into measurable next steps.

- Skill: `ldilov/performance-profiling` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ldilov/performance-profiling`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ldilov/performance-profiling/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ldilov (https://skillmd.com/u/ldilov)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ldilov/performance-profiling

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# Performance Profiling

## Trigger Signals

- the task is slow, resource-heavy, or performance-sensitive

## Inspect First

- hotspot code paths, timing data, memory cues, and benchmark surfaces

## Workflow

1. identify the slow path and measurement surface
2. isolate likely bottlenecks
3. define low-risk experiments and verification
4. report findings and next action

## Output Contract

- hotspot summary
- likely bottlenecks
- measurement or benchmark plan
- recommended next step

## Failure Modes

- no measurable baseline exists

## Escalation

- escalate when optimization risks correctness or public contracts