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nadimtuhinLLM context optimization framework
Top 68.5% on SourcePulse
<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This project addresses the significant token consumption in Claude Code by optimizing documentation and context loading. It enables developers to reduce token usage by up to 90%, freeing up Claude's context window for actual code and tasks. The solution targets users of Claude Code seeking to improve efficiency and reduce costs associated with large context windows.
How It Works
The optimizer restructures project context into a minimal set of essential Markdown files loaded at session start (e.g., CLAUDE.md, COMMON_MISTAKES.md, QUICK_START.md, ARCHITECTURE_MAP.md), drastically cutting initial token load. Other resources like task history, old sessions, and topic-specific learnings are stored separately and loaded only on explicit user request, incurring zero token cost until accessed. This contrasts with Claude's default behavior of loading all available documentation upfront.
Quick Start & Requirements
curl -fsSL https://raw.githubusercontent.com/nadimtuhin/claude-token-optimizer/main/init.sh | bash in your project root.Highlighted Details
Maintenance & Community
The project encourages contributions, particularly for adding support for new frameworks (e.g., Flask, Spring Boot, Go, Rust). Users are directed to CONTRIBUTING.md for details. Community interaction is facilitated through GitHub issues and discussions. No specific community channels like Discord or Slack are listed.
Licensing & Compatibility
Limitations & Caveats
The effectiveness hinges on diligent user maintenance of key documentation files (COMMON_MISTAKES.md, QUICK_START.md). While a universal structure exists, highly specialized or uncommon project setups might require manual adaptation beyond the provided framework patterns. The project appears to be primarily driven by its author, with community contributions being a secondary growth vector.
18 hours ago
Inactive
ggml-org