Back to skills
SKILL.md
Performance Profiler
ASecurityProfile application performance including CPU, memory, and flame graph generation
- 1,760 stars
- 0 votes
- 0 copies
- 2 views
- Added September 2, 2026
Security analysis
100/100Pro scans all 2 files and shows the line behind each finding
npx -y skills add a5c-ai/babysitter --skill performance-profiler --agent claude-codeAre you the author of Performance Profiler?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/a5c-ai-performance-profiler-babysitter)---
name: performance-profiler
description: Profile application performance including CPU, memory, and flame graph generation
allowed-tools:
- Bash
- Read
- Write
- Glob
graph:
domains: [domain:software-engineering]
specializations: [specialization:software-architecture]
skillAreas: [skill-area:performance-monitoring-profiling]
roles: [role:principal-engineer, role:sre]
workflows: [workflow:technical-debt-reduction]
topics: [topic:design-patterns]
---
# Performance Profiler Skill
## Overview
Profiles application performance including CPU profiling, memory profiling, flame graph generation, bottleneck identification, and APM tool integration.
## Capabilities
- CPU profiling
- Memory profiling and heap snapshots
- Flame graph generation
- Bottleneck identification
- Hot path analysis
- Integration with APM tools (DataDog, New Relic)
- Event loop analysis (Node.js)
- Garbage collection analysis
## Target Processes
- performance-optimization
## Input Schema
```json
{
"type": "object",
"required": ["target"],
"properties": {
"target": {
"type": "string",
"description": "Target process, script, or endpoint"
},
"mode": {
"type": "string",
"enum": ["cpu", "memory", "heap", "all"],
"default": "cpu"
},
"duration": {
"type": "number",
"default": 30,
"description": "Profiling duration in seconds"
},
"options": {
"type": "object",
"properties": {
"samplingInterval": {
"type": "number",
"default": 1000,
"description": "Sampling interval in microseconds"
},
"generateFlameGraph": {
"type": "boolean",
"default": true
},
"outputFormat": {
"type": "string",
"enum": ["json", "html", "svg"],
"default": "html"
}
}
}
}
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"profile": {
"type": "object",
"properties": {
"duration": { "type": "number" },
"samples": { "type": "number" }
}
},
"hotspots": {
"type": "array",
"items": {
"type": "object",
"properties": {
"function": { "type": "string" },
"selfTime": { "type": "number" },
"totalTime": { "type": "number" },
"percentage": { "type": "number" }
}
}
},
"flameGraphPath": {
"type": "string"
},
"memoryStats": {
"type": "object",
"properties": {
"heapUsed": { "type": "number" },
"heapTotal": { "type": "number" },
"external": { "type": "number" }
}
},
"recommendations": {
"type": "array",
"items": { "type": "string" }
}
}
}
```
## Usage Example
```javascript
{
kind: 'skill',
skill: {
name: 'performance-profiler',
context: {
target: 'npm run start',
mode: 'cpu',
duration: 30,
options: {
generateFlameGraph: true,
outputFormat: 'html'
}
}
}
}
```
Files in this skill
- README.md
- SKILL.md
Attribution
Comments
Loading comments…