kuba-guzik

kuba-guzik / caveman-micro

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6-line caveman micro prompt (85 tokens) that outperformed the original 552-token skill. Benchmark on Claude Sonnet + Opus included.

13
1
100% credibility
Found Apr 12, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Caveman-micro provides a ultra-short prompt to make AI models respond more concisely by mimicking a 'smart caveman' style, outperforming longer versions in benchmarks.

How It Works

1
🔍 Discover Caveman Micro

You stumble upon this handy tip while browsing for ways to make your AI chats shorter and cheaper.

2
📊 See the Magic Numbers

You read how this simple trick cuts words from AI answers by 14-21% without losing any important details, proven in real tests.

3
📋 Copy the Short Prompt

You grab the six easy lines of instructions that tell the AI to talk like a smart caveman – straight to the point.

4
💬 Paste into Your AI Chat

You add those lines to your favorite AI's settings, like custom instructions, and feel it come alive instantly.

5
🗣️ Start Chatting Smarter

Now your AI gives crisp, no-fluff answers that save time and money on every conversation.

🎉 Enjoy Faster, Cheaper AI

Your chats are quicker, your bill is lower, and you get exactly what you need every time.

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Star Growth

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AI-Generated Review

What is caveman-micro?

caveman-micro delivers a 6-line JavaScript prompt—85 tokens total—that trains LLMs to respond like a smart caveman, slashing filler words while preserving technical details. It outperforms the original 552-token caveman skill on benchmarks with Claude Sonnet and Opus, included in the repo, cutting output tokens 14-21% on structured tasks like JSON extraction. Paste it into any LLM's system prompt, ChatGPT custom instructions, or Claude.md for instant conciseness without quality loss.

Why is it gaining traction?

This micro prompt beats the full caveman version in token savings and matches 100% quality across real coding benchmarks, proving shorter instructions cut noise better. Devs love the zero-setup copy-paste for tools like Cursor or Windsurf, plus npm scripts to run your own benchmarks on Sonnet or Opus. At one-sixth the token cost, it hooks anyone scaling API calls where every token counts.

Who should use this?

Backend devs building Claude-powered incident diagnosis tools or config parsers needing tight JSON outputs. Frontend teams in Cursor generating code snippets without verbose fluff. API service owners optimizing millions of calls for cost, especially with structured prompts already in place.

Verdict

Grab and test it—benchmarks prove real savings, and JS setup lets you verify fast. With 13 stars and 1.0% credibility, it's immature but polished docs and self-running evals make it a safe, low-effort win for prompt tweaking.

(178 words)

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