drona23

drona23 / claude-token-efficient

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Universal CLAUDE.md - cut Claude output tokens by 63%. Drop-in. No code changes.

86
8
100% credibility
Found Mar 31, 2026 at 86 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository offers a single file to place in projects that instructs Claude AI to produce shorter, more direct responses, reducing unnecessary verbosity.

How It Works

1
😩 Frustrated with Chatty AI

You're using an AI helper for coding, but its answers are full of extra chit-chat and fluff that wastes your time.

2
🔍 Discover the Fix

You find a simple solution: a special note file that trains your AI to give short, straight-to-the-point replies.

3
📥 Grab the Note File

Download or copy the ready-made note file into your project's main folder – it takes just seconds.

4
📁 Drop It In Place

Put the file right where your project lives, and your AI automatically notices and follows its instructions next time.

5
💬 Ask Your AI Again

Type the same question to your AI helper, and watch it respond with clear, concise help – no more rambling!

✅ Enjoy Efficient Help

From now on, your AI gives you exactly what you need, saving time and making coding sessions smooth and productive.

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Star Growth

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AI-Generated Review

What is claude-token-efficient?

This GitHub universal project delivers a drop-in CLAUDE.md file you place in your project root—no code changes required. Claude automatically loads it via its universal autoload feature, slashing output tokens by 63% by curbing verbosity, sycophantic openers, unnecessary restatements, and formatting noise like em dashes. It targets Claude's default chattiness in code reviews, explanations, and agent loops, delivering concise, parseable responses while preserving core info.

Why is it gaining traction?

Unlike prompt tweaks or API wrappers, it's zero-setup: curl one file and Claude behaves differently instantly, with benchmarks proving 63% output cuts on real tasks like async explanations or bug fixes. Developers hook on the net savings—up to $25 monthly for heavy 1,000-prompt days—plus profiles for coding, agents, or analysis, and an override rule that respects user requests for verbosity. Community fixes from Claude GitHub issues make it a practical, evolving claude token efficient tool.

Who should use this?

Automation engineers building resume bots or multi-step agent pipelines where output volume racks up costs. Dev teams running high-volume code generation, reviews, or debugging loops in persistent Claude sessions. Scale-focused ops handling 100+ daily prompts, not casual one-offs or low-output chats.

Verdict

Grab it for output-heavy Claude workflows—solid docs, MIT license, and real benchmarks make the 63% claim credible despite 86 stars and 1.0% score signaling early maturity. Test in a high-volume pipeline first; input overhead means it shines at scale, not everywhere.

(198 words)

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