optimix

Identify and fix performance bottlenecks in TypeScript applications across build, runtime, and memory.

1|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/dduquenne/unanima-platform --skill optimix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: optimix
Source: https://github.com/dduquenne/unanima-platform/tree/main/.claude/skills/optimix
Command: npx skills add https://github.com/dduquenne/unanima-platform --skill optimix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Optimix helps identify and fix performance bottlenecks in TypeScript business applications, including API servers, microservices, CLI tools, batch jobs, and monorepos, with a focus on build times, memory usage, and runtime efficiency.

Core Features & Use Cases

  • Diagnose symptoms and propose concrete, measurable improvements.
  • Recommend architecture and tooling changes, profiling techniques, and optimization strategies across build, runtime, and memory.
  • Apply a measure → identify → fix → re-measure workflow to ensure real impact.

Quick Start

Measure a representative workload, identify the top bottlenecks, implement targeted fixes, and re-measure to confirm improvements.

Frequently Asked Questions about optimix

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify and fix TypeScript performance bottlenecks in a Node.js API server?

Profiling TypeScript performance involves a measure, identify, fix, and re-measure workflow across build, runtime, and memory domains to diagnose symptoms and propose concrete improvements for business applications like microservices and batch jobs.

What's the best way to reduce TypeScript build times in a monorepo?

Reducing TypeScript build times in a monorepo requires profiling the build process to find bottlenecks, applying architecture and tooling changes, and validating improvements through a structured re-measurement workflow.

Can I use this approach to optimize memory usage in TypeScript CLI tools?

Yes, you can optimize memory usage in TypeScript CLI tools by profiling representative workloads, identifying memory bottlenecks, implementing targeted code changes, and re-measuring to confirm improved runtime efficiency.

Does optimizing TypeScript runtime efficiency require specific profiling tooling?

Optimizing TypeScript runtime efficiency requires setting up profiling tooling to measure workloads, which then guides architecture changes and code fixes to resolve identified bottlenecks in batch jobs or microservices.

Why should I measure a representative workload before optimizing TypeScript performance?

Measuring a representative workload establishes a baseline for TypeScript performance, ensuring you identify actual bottlenecks across build and memory domains and can validate that implemented fixes deliver measurable impact.