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RooseveltAdvisors
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ContextOptimizer

Audit and refine CLAUDE.md and AGENTS.md context files to minimal actionable content.

1|1|Updated Mar 1, 2026
Search Tags:#prompt engineering#optimization#ai#agent configuration#claudeco#context files
One-click install
npx skills add https://github.com/RooseveltAdvisors/claude-agent-stack --skill contextoptimizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ContextOptimizer
Source: https://github.com/RooseveltAdvisors/claude-agent-stack/tree/main/skills/ContextOptimizer
Command: npx skills add https://github.com/RooseveltAdvisors/claude-agent-stack --skill contextoptimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the issue of bloated and ineffective AI context files (like CLAUDE.md or AGENTS.md) that increase costs and reduce AI performance, by applying research-backed principles to streamline them.

Core Features & Use Cases

  • Audit Context Files: Analyzes existing context files for anti-patterns like redundancy, overviews, and excessive instructions.
  • Optimize Context Files: Trims down context files to include only essential, actionable, and non-discoverable information.
  • Generate Minimal Context: Creates new, optimized context files from scratch based on repository analysis.
  • Use Case: You have a CLAUDE.md file that's grown over time and is now hundreds of words long. Use this Skill to audit it, identify what can be removed without impacting the AI's performance, and generate a leaner, more effective version.

Quick Start

Use the ContextOptimizer skill to audit the context files in this repository.

Frequently Asked Questions about ContextOptimizer

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

FAQPage Schema
How do I optimize a bloated CLAUDE.md context file?▼

To optimize a bloated CLAUDE.md context file, audit it to remove redundancy and excessive instructions, applying a four-question filter to retain only essential, actionable information that reduces inference costs and improves AI performance.

Why does my AI agent context file increase inference costs?▼

AI agent context files increase inference costs when they contain bloat like overviews and redundant instructions. Trimming these files to include only non-discoverable, actionable content streamlines processing and lowers expenses.

What is the best way to generate a minimal context file for an AI agent?▼

The best way to generate a minimal context file is to analyze the repository and create optimized content from scratch, adhering to strict word count limits and including only actionable, non-discoverable information.

Can I audit AGENTS.md files for anti-patterns and redundancy?▼

Yes, you can audit AGENTS.md files to identify anti-patterns like redundancy, overviews, and excessive instructions, ensuring the context file maintains minimal, actionable content for better agent performance.

What criteria should I use to filter content for AI prompt optimization?▼

For AI prompt optimization, filter content using a four-question inclusion criteria to ensure only essential, actionable, and non-discoverable information remains, adhering to strict word count limits to prevent bloat.

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