Node.js Performance Architect (LLM-Friendly Profiling)
CommunityProfile-guided Node.js fixes via pprof data.
AuthorHarmeet10000
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Ingest and interpret pprof-based Markdown analysis generated by profiling tools (e.g., Platformatic Flame) and translate low-level CPU/Heap profiles into actionable architectural fixes that can be reasoned about by an AI.
Core Features & Use Cases
- Profile Ingestion & Triage: Identify Top Hotspots by Self Time vs Total Time and distinguish CPU bottlenecks from memory churn.
- Pattern Recognition: Detect anti-patterns like the Middleware Trap, N+1 Async Loop, and Hidden Latency, proposing concrete mitigations.
- Actionable Optimization Workflow: Propose code changes with patch-level guidance and instruct the user to re-run profiling to validate hotspot shifts.
Quick Start
Feed the agent a pprof-md profile and request a prioritized list of fixes for the identified hotspots.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Node.js Performance Architect (LLM-Friendly Profiling) Download link: https://github.com/Harmeet10000/skills/archive/main.zip#node-js-performance-architect-llm-friendly-profiling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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