token-optimization

Implement cache management and context optimization rules for Claude Code sessions.

4|Updated May 20, 2026
One-click install
npx skills add https://github.com/valorisa/Claude-Skills --skill token-optimization-valorisa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: token-optimization
Source: https://github.com/valorisa/Claude-Skills/tree/main/skills/token-optimization
Command: npx skills add https://github.com/valorisa/Claude-Skills --skill token-optimization-valorisa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill eliminates unexpected high token bills, slow bloated sessions, and wasted compute from unoptimized Claude Code usage, reducing costs by up to 80% for typical development workflows.

Core Features & Use Cases

  • Cache Management: Prevents costly mid-session cache invalidation from unplanned MCP or tool additions.
  • Context Optimization: Sizes context windows appropriately and uses forked subagents for isolated tasks to avoid context bloat.
  • Input Filtering: Integrates tools like RTK and Stagehand to cut verbose CLI and browser automation token usage by up to 90%.
  • Use Case: A development team reduced monthly Claude Code costs from $750 to $100 by applying these documented optimization techniques.

Quick Start

Ask Claude to audit your current Claude Code session for token waste and implement the recommended optimizations to immediately reduce token consumption.

Frequently Asked Questions about token-optimization

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

FAQPage Schema
How do I reduce Claude Code token costs caused by cache invalidation and context bloat?

Reduce Claude Code token costs by applying cache management rules, sizing context windows, and forking subagents for isolated tasks to prevent cache invalidation and context bloat, achieving 70-80% token reduction.

What's the best way to filter verbose CLI and browser automation inputs in Claude Code?

Filter verbose CLI and browser automation inputs in Claude Code by integrating tools like RTK and Stagehand, applying concise response directives to cut token usage by up to 90% during development workflows.

Why does adding MCP tools mid-session increase my Claude Code token consumption?

Adding MCP tools mid-session increases Claude Code token consumption because it triggers cache invalidation, forcing the model to reprocess the entire context window and wasting compute on previously cached data.

Can I optimize Claude Code context windows for individual development and research workflows?

Yes, you can optimize Claude Code context windows for development and research workflows by sizing context appropriately, using subagent context forking for isolated tasks, and applying concise response directives to minimize token waste.

Does this token optimization approach require specific dependencies like pyyaml?

Yes, implementing these Claude Code token optimization tactics requires the pyyaml dependency to parse and apply the cache management rules and context sizing configurations defined in the provided scripts and references.