Shawnchee

Shawnchee / caveman-skill

Public

save tokens? claude? vibe code? you knocked your head too much, let's go find some bugs to eat

11
2
100% credibility
Found Apr 07, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A user-friendly add-on for AI coding assistants that makes their responses concise and direct by removing unnecessary words and chit-chat.

How It Works

1
😩 Frustrated with Chatty AI

You're using your AI coding helper, but it talks too much, wasting time with extra words and chit-chat.

2
🔍 Discover Caveman

You find this handy trick called Caveman that teaches your AI to talk less and answer straight to the point.

3
🦴 Add Caveman to Your AI

With one easy step, you add Caveman to your favorite AI coding buddy so it learns to be super direct.

4
💬 Chat with Your AI

Now when you ask questions or need code fixes, your AI jumps right into helpful answers without the fluff.

5
⚡ See the Magic

Responses are short, clear, and packed with exactly what you need – no more scrolling past nonsense.

🎉 Code Faster, Happier

You save tons of time, stay focused, and get your projects done quicker with a no-nonsense AI sidekick.

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Star Growth

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AI-Generated Review

What is caveman-skill?

Caveman-skill is a set of markdown prompts for AI coding agents like Claude Code, Cursor, Windsurf, GitHub Copilot, and 40 others, enforcing ultra-concise responses to slash output tokens by up to 61% on average. It kills filler like greetings, narrations, and summaries, delivering just the code, paths, or fixes you need—think "src/config.ts:14 — timeout: 5000 → 10000" instead of paragraphs of chit-chat. Install with one npx command via skills.sh to save tokens in Claude code, Cursor, or Copilot chats, tackling how to save tokens in AI head-on.

Why is it gaining traction?

Developers love the instant ROI: benchmarks show 50-72% cuts on tasks like code edits or file searches, keeping context windows lean without losing facts or code blocks. The 10 strict rules bend only for clarity, like warning on destructive changes, and it works across agents via simple project or global configs—no rewiring needed. It's the bolt-new way to save GitHub Copilot tokens or Claude sessions, hooking token-conscious users tired of verbose AI theatre.

Who should use this?

Backend engineers grinding long Claude Code sessions, frontend devs using Cursor for quick fixes, or anyone with Copilot chat in VSCode hitting token limits on paid plans. Ideal for token-saving in Windsurf or Gemini CLI during code reviews, expeditions, or OpenClaw prototyping—especially if you're optimizing costs on how to save tokens Claude or GitHub credentials setups.

Verdict

Worth a quick npx skills add for heavy AI users—docs are solid with before/afters and uninstall steps—but at 11 stars and 1.0% credibility, it's raw and unproven; test in a side project before committing. Pairs well with MCP save tokens tricks for max efficiency.

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