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[ARTICLE · art-33057] src=openruna.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

Show HN: OpenRuna–graph-linked prompts,MCP servers and agent skills

OpenRuna launched as a searchable index of 1,700+ AI coding prompts, open-source tools, agent skills, datasets, and workflows for ChatGPT, Claude, Gemini, and Cursor. The platform categorizes resources by type and tag, offering detail pages with use cases and platform-specific tips to reduce prompt-engineering time.

read2 min views1 publishedJun 18, 2026

Overview

Looking for AI coding prompts? OpenRuna indexes 1,700+ copy-ready prompts, open-source tools, agent skills, datasets, and workflows — searchable by category, tag, and resource type. This best-of guide helps you discover AI coding prompts without scrolling generic listicles.

Related searches include coding prompts for ChatGPT, software engineering prompts, developer AI prompts. Each maps to real catalog entries you can open, copy, and adapt in ChatGPT, Claude, Gemini, or Cursor.

What makes a great resource

The best AI coding prompts entries share a few traits: clear step-by-step instructions, explicit assumptions, example inputs/outputs, and a license you can verify. Avoid one-line prompts for production workflows — prefer templates with variables and review checkpoints.

On OpenRuna, enriched detail pages add use cases, platform-specific tips, FAQs, and related resources so you spend less time prompt-engineering from scratch.

Categories to explore

Prompts— task-specific instructions for coding, marketing, research, and ops** Skills**— SKILL.md packs for Cursor and Claude Code agents** Tools & agents**— open-source frameworks and automation templates** Collections**— curated sequences for multi-step workflows

Use the catalog links on this page to jump directly into the relevant directory or category hub.

How to use these resources effectively

  • Copy the resource verbatim into a new chat or agent session.
  • Replace template variables with your project context (stack, constraints, audience).
  • Ask the model to confirm assumptions before executing.
  • Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
  • Save successful variants in your team wiki or .cursorrules file.

Staying current

The AI tooling landscape moves quickly. Bookmark this page and the linked hub or category URLs; OpenRuna adds new AI coding prompts resources as the community submits and imports them. Premium collections are clearly marked when license terms differ.

Summary

OpenRuna is built to be the fastest path from search intent ("AI coding prompts") to actionable templates. Start with the links below, then explore related editorial guides for comparisons and topic hubs.

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