judge-optimizer

Evaluate software features across three tiers for performance, resource efficiency, and cost optimization guidance.

Updated Jan 16, 2026
One-click install
npx skills add https://github.com/JuniYadi/claude-code --skill judge-optimizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: judge-optimizer
Source: https://github.com/JuniYadi/claude-code/tree/main/super-dev/skills/judge-optimizer
Command: npx skills add https://github.com/JuniYadi/claude-code --skill judge-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured evaluation framework to assess software features for performance, resource efficiency, and cost, enabling teams to make better optimization decisions.

Core Features & Use Cases

  • Evaluation framework: A standardized rubric with primary (performance & efficiency), secondary (scalability & resource usage), and tertiary (cost optimization) criteria.
  • Verdict generation: Produces a concise, actionable verdict with clear next steps and trade-offs.
  • Automation-friendly use: Applies to feature proposals, design docs, and codebases to guide prioritization and refactoring.
  • Real-world example: Given a feature proposal, the optimizer scores it, highlights bottlenecks, and suggests caching, async processing, and indexing improvements.

Quick Start

Provide a feature proposal and relevant context to the optimizer. The tool will evaluate it against the criteria and return a verdict with recommended actions.

Frequently Asked Questions about judge-optimizer

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

FAQPage Schema
How do I evaluate software features for performance and cost efficiency?▼

To evaluate software features for performance and cost efficiency, apply a standardized rubric assessing primary, secondary, and tertiary criteria. This structured framework scores resource usage and scalability, returning a concise verdict with actionable optimization steps.

What is the best way to identify scalability bottlenecks in a feature proposal?▼

The best way to identify scalability bottlenecks in a feature proposal is using an automated three-tier assessment. It evaluates resource constraints and highlights specific opportunities like caching, async processing, and indexing improvements.

Can I use this evaluation framework for architecture reviews and code refactoring?▼

Yes, you can use this evaluation framework for architecture reviews and code refactoring. It processes design docs and codebases to guide prioritization, pinpointing caching opportunities and cost optimization trade-offs with concrete suggestions.

How do I generate an actionable optimization verdict for code changes?▼

Generate an actionable optimization verdict by providing feature context to the evaluator. It applies performance and cost-efficiency criteria to produce a concise verdict detailing next steps, bottlenecks, and necessary architectural trade-offs.

When do I need a three-tier assessment for resource efficiency?▼

You need a three-tier assessment for resource efficiency when evaluating feature proposals that require optimization decisions. It systematically reviews primary performance, secondary scalability, and tertiary cost factors to uncover hidden bottlenecks.