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Cursor Prompts — reapply

TOOL

Calls a smarter model to apply the last edit to the specified file. Use this tool immediately after the result of an edit_file tool call ONLY IF the diff is not what you expected, indicating the model applying the changes was not smart enough to follow your instructions.

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Overview

Free tool — Cursor Prompts — reapply. Calls a smarter model to apply the last edit to the specified file. Use this tool immediately after the result of an edit_file tool call ONLY IF the diff is not what you expec

What this tool does

Reach for "Cursor Prompts — reapply" whenever you need a reliable tool for real work across ChatGPT, Claude, Gemini, and Cursor. Calls a smarter model to apply the last edit to the specified file. Use this tool immediately after the result of an edit_file tool call ONLY IF the diff is not what you expected, indicating the model applying the changes was not smart enough to follow your instructions. On OpenRuna it sits inside a connected graph of related tools, tools, and datasets, so branching into adjacent resources is one click away. Paste it straight into a chat, drop it into a system prompt, or store it as a reusable skill.

Use cases

  • Combine it with related tools and prompts in the same OpenRuna category to build an end-to-end workflow.
  • Reach for it during planning or review sessions when you want consistent, AI-assisted structure.
  • Use "Cursor Prompts — reapply" when you need a repeatable tool for professional work without rewriting instructions every time.
  • Hand "Cursor Prompts — reapply" to a new teammate so their tool output matches your team's quality bar from day one.

Example output

Ask the model to apply "Cursor Prompts — reapply" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. Expect 2–3 iterations to dial in tone and depth for your context.

Tips by platform

Claude

With Claude, drop this tool into Project knowledge so every chat in the project inherits it. Ask Claude to restate the goal first, then run — it catches edge cases early.

ChatGPT

In ChatGPT, start a fresh chat and paste this tool verbatim, then follow up with "apply this to [your context]." Pick a current GPT model for coding or reasoning tasks.

Cursor

Cursor users can store this tool as a project rule so Agent mode applies it automatically. Mention it with @ when you want it scoped to a single task.

Frequently asked questions

What is "Cursor Prompts — reapply"?
It is a tool listed on OpenRuna — Calls a smarter model to apply the last edit to the specified file. Use this tool immediately after the result of an edit_file tool call ONLY IF the diff is not what you expected, indicating the model applying the changes was not smart enough to follow your instructions. You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "Cursor Prompts — reapply" free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this tool?
Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "Cursor Prompts — reapply" work with both Claude and ChatGPT?
Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "Cursor Prompts — reapply"?
Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

Related resources