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token-analyzer

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Cut token costs by optimizing usage.

Software Engineering#llm#estimation#cost-optimization#context-window#prompt-analysis#token-usage
AuthorPrathmesh2000
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Analyze, estimate, and optimize token usage for LLM API calls. This skill helps reduce costs and ensures efficient usage of context windows across prompts and conversations.

Core Features & Use Cases

  • Token estimation rules for English text, code, JSON, and context windows.
  • Cost optimization strategies including prompt compression, history pruning, and model routing.
  • Use cases: reduce per-call cost in long conversations, optimize prompts for retention of important context, and plan token budgets for large-scale deployments.

Quick Start

Analyze a sample prompt to estimate tokens and propose a cost-saving optimization for the given text.

Dependency Matrix

Required Modules

None required

Components

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: token-analyzer
Download link: https://github.com/Prathmesh2000/cursor_agent-orchestrator/archive/main.zip#token-analyzer

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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