context-budget

Name: context-budget
Availability: InStock
Author: woxiangyangzhimao

Audit token usage in Claude Code sessions and identify redundant components.

3|2|Updated Apr 12, 2026

Search Tags:#Claude Code #resource management #AI efficiency #performance analysis #context optimization

Ready to run

npx skills add https://github.com/woxiangyangzhimao/skills --skill context-budget-woxiangyangzhimao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: context-budget
Source: https://github.com/woxiangyangzhimao/skills/tree/main/context-budget
Command: npx skills add https://github.com/woxiangyangzhimao/skills --skill context-budget-woxiangyangzhimao

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill audits the token consumption of Claude Code components to identify inefficiencies, reducing load time and enabling smoother performance.

Core Features & Use Cases

Token Overhead Analysis: Assess how much context space each component uses and highlight potential bottlenecks.
Redundant Components Removal: Detect duplicate or redundant components that are not necessary.
Context Model Efficiency: Optimize Claude Code to work with fewer resources and still perform tasks.

Quick Start

Execute the command /context-budget to generate a context budget report.

Frequently Asked Questions about context-budget

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

FAQPage Schema

How do I audit Claude Code token usage and optimize context performance?▼

To audit Claude Code token usage, run the /context-budget command which examines consumption patterns across skills, agents, and MCP servers, generating a context budget report that highlights redundant components and inefficient configurations.

What causes high context overhead in Claude Code sessions?▼

High context overhead is caused by redundant components and inefficient configurations in skills, agents, and MCP servers. Token overhead analysis identifies these specific components consuming excessive context space and creating performance bottlenecks.

Can I detect and remove redundant components from my Claude Code environment?▼

Yes, you can detect and remove redundant components by executing a token consumption audit. The process identifies duplicate or unnecessary components across skills, agents, and MCP servers, then suggests removal to optimize the Claude Code environment.

Does context optimization help Claude Code scale better under dynamic AI workloads?▼

Context optimization ensures sustainable scaling and smoother performance under dynamic AI workloads. By reducing token overhead and removing inefficient configurations, Claude Code operates with fewer resources while still performing required tasks effectively.

What is the best way to reduce context space usage in Claude Code agents and MCP servers?▼

The best way to reduce context space usage is automating a token usage audit to identify consumption patterns. This detects redundant components and inefficient configurations, suggesting removal to optimize the Claude Code environment for better resource management.