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himanshu231204
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context-budget

Audit Claude Code context window consumption and report token overhead per component.

2|Updated May 11, 2026
Search Tags:#claude code#token optimization#context window#context audit#mcp optimization#bloat detection
One-click install
npx skills add https://github.com/himanshu231204/AI_Research_agent --skill context-budget-himanshu231204
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-budget
Source: https://github.com/himanshu231204/AI_Research_agent/tree/main/.opencode/skills/context-budget
Command: npx skills add https://github.com/himanshu231204/AI_Research_agent --skill context-budget-himanshu231204

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude Code sessions often become sluggish or produce lower-quality outputs when context window space is consumed by bloated, redundant, or unnecessary components like overly large agent files, duplicate skills, excessive MCP servers, and verbose rule sets. This Skill eliminates the guesswork of identifying what is taking up context space and how to reclaim it.

Core Features & Use Cases

  • Full Context Inventory: Scans all loaded agents, skills, rules, MCP servers, and CLAUDE.md files to estimate total token consumption and per-component overhead.
  • Bloat Pattern Detection: Flags common issues like agent files over 200 lines, MCP servers with excessive tool counts, redundant duplicate components, and bloated CLAUDE.md files.
  • Prioritized Optimization Recommendations: Classifies components by necessity and ranks token-saving actions by impact, so you know exactly what to remove or lazy-load first.
  • Use Case: If you have added 15+ custom skills and 8 MCP servers to your Claude Code setup and notice response times dropping, run this Skill to get a report showing that 3 redundant MCP servers are wasting 27,000 tokens, and removing them will cut context overhead by nearly half.

Quick Start

Use the context-budget skill to audit your current Claude Code session's context consumption and receive a prioritized list of token optimization recommendations.

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 context window token usage?▼

To audit Claude Code context window token usage, scan all loaded agents, skills, MCP servers, and CLAUDE.md files to estimate total consumption and identify redundant components. This process flags heavy agent files and MCP over-subscription to quantify potential savings.

Why does my Claude Code session feel sluggish and produce low quality output?▼

Sluggish Claude Code sessions and degraded output quality often occur when context window space is consumed by bloated components like overly large agent files, duplicate skills, excessive MCP servers, and verbose rule sets taking up token capacity.

What is the best way to optimize MCP servers for token overhead in Claude Code?▼

The best way to optimize MCP servers for token overhead is to flag servers with excessive tool counts and redundant duplicates. A prioritized report quantifies the overhead per component and recommends removing unnecessary servers to reclaim context space.

How do I check if I have enough context headroom before adding new skills to Claude Code?▼

To check available context headroom before adding new skills, perform a full context inventory to estimate current token consumption across all loaded components. This verifies available capacity and identifies bloat patterns like agent files over 200 lines.

Can I get a prioritized report of token saving recommendations for Claude Code?▼

Yes, you can get a prioritized report of token saving recommendations that classifies components by necessity and ranks actions by impact. This report identifies exactly what to remove or lazy-load first to cut context overhead effectively.

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