when-optimizing-prompts-use-prompt-optimization-analyzer

Analyze prompts to detect token waste, anti-patterns, and trigger ambiguities.

4|Updated Oct 31, 2025
One-click install
npx skills add https://github.com/DNYoussef/ai-chrome-extension --skill when-optimizing-prompts-use-prompt-optimization-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: when-optimizing-prompts-use-prompt-optimization-analyzer
Source: https://github.com/DNYoussef/ai-chrome-extension/tree/main/.claude/skills/meta-tools/when-optimizing-prompts-use-prompt-optimization-analyzer
Command: npx skills add https://github.com/DNYoussef/ai-chrome-extension --skill when-optimizing-prompts-use-prompt-optimization-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompts can be verbose and inconsistent. This skill analyzes prompts to detect token waste, anti-patterns, and trigger clarity, then recommends concrete optimizations.

Core Features & Use Cases

  • Token Efficiency: Detect redundancy, verbosity, filler words.
  • Anti-Pattern Detection: Flag vague terms and conflicting requirements.
  • Optimization Recommendations: Propose before/after prompts and token savings.

Quick Start

Provide a prompt to optimize, and this skill returns an optimized version with a before/after comparison and token-savings metrics.

Frequently Asked Questions about when-optimizing-prompts-use-prompt-optimization-analyzer

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

FAQPage Schema
How do I reduce token waste in my prompts?

Token waste occurs from redundancy, verbosity, and filler words. This skill analyzes prompts to detect these inefficiencies and recommends concrete optimizations with before/after comparisons and token-savings estimates to keep prompts within budget while maintaining clarity.

What anti-patterns should I look for when writing prompts?

Anti-patterns include vague terms, conflicting requirements, and ambiguous triggers that reduce prompt effectiveness. This skill detects these patterns and flags them, enabling you to refine instructions for consistency and actionable guidance.

Can I optimize prompts at scale during skill creation and maintenance?

Yes. This skill applies token efficiency and anti-pattern detection across prompts during skill creation, maintenance, and updates, helping you manage multiple prompts within token budgets without sacrificing clarity or consistency.

How do I measure whether my prompt optimization actually saves tokens?

This skill generates optimization recommendations that include token-savings estimates, showing the difference between your original and optimized versions so you can quantify efficiency gains before implementing changes.

What's the difference between prompt verbosity and necessary detail?

Verbosity is redundancy and filler that wastes tokens without adding clarity; necessary detail provides actionable guidance. This skill distinguishes between them by analyzing trigger clarity and requirement specificity, then recommends removals that preserve intent.