LingyiChen-AI

LingyiChen-AI / boris-prompts

Public
92
12
89% credibility
Found May 22, 2026 at 92 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Boris Prompts is a helper tool that teaches you how to write better instructions for AI assistants. Based on techniques from Boris (the creator of Claude Code at Anthropic), it helps you craft short, focused prompts that actually work. When you describe what you want your AI to do, the tool either writes the prompt directly or asks a few quick questions to understand your goal better. The resulting prompts follow five key principles: keep them short, include a planning step, point to existing examples instead of re-explaining, set up feedback loops, and save persistent context in files rather than cramming everything into one prompt. It's designed to work alongside popular AI coding tools like Claude Code, Cursor, and similar assistants.

How It Works

1
😤 Your AI keeps missing the mark

You ask your AI assistant to do something, but it either asks too many questions or does the wrong thing entirely.

2
💡 You discover there's a better way

You hear about Boris's prompt-writing approach — short, focused instructions that actually work with AI.

3
📦 You install the skill in one click

You run a simple command to add this helper to your AI assistant, and it loads automatically.

4
You describe what you want
✅
Clear request

If your request is detailed enough, the skill writes your prompt right away.

❓
Unclear request

If the skill needs more info, it asks 1-3 quick questions to understand your goal.

5
✨ You get a perfectly crafted prompt

The skill gives you a short, copy-pasteable prompt that follows proven principles for getting great results.

🎉 Your AI finally delivers

You paste the prompt into your AI assistant and watch it do exactly what you wanted — no back-and-forth, no wrong turns.

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Star Growth

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AI-Generated Review

What is boris-prompts?

This is an agent skill that helps you write better prompts for any LLM. When you describe what you want an AI to do, boris-prompts either writes the prompt directly or asks 1-3 clarifying questions first. It applies five core principles: keep prompts short, add "make a plan first," point models at existing code instead of re-explaining, use feedback loops over detailed instructions, and keep persistent context in files rather than prompts. Distributed via the skills CLI, it works across Claude Code, Codex, Cursor, and 50+ other agents.

Why is it gaining traction?

The hook is that it packages proven methodology from Boris (Claude Code's creator) into an immediately usable skill. Instead of reading blog posts about prompt engineering, you just describe your goal and get a production-ready prompt. The five principles are opinionated and actionable, not generic advice. The skills CLI makes installation one command with no configuration.

Who should use this?

Developers who work with multiple AI coding assistants and want consistent, high-quality prompts. It's particularly useful for anyone who's struggled with prompts that go off the rails or produce verbose, unhelpful responses. Teams adopting AI coding tools will find it valuable for establishing prompt standards across their workflow.

Verdict

This is a small but well-focused utility. At 92 stars, it's early-stage but the MIT license, clear documentation, and foundation on established methodology from a credible source make it worth trying. The 0.8999999761581421% credibility score reflects its nascent community, but the core idea is solid and the implementation is straightforward enough to evaluate quickly.

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