AI SummaryDuring your interaction with the user, if you find anything reusable in this project (e.g. version of a library, model name), especially about a fix to a mistake you made or a correction you received, you should take note in the section in the file so you will not make the same mistake again. You
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "devin.cursorrules — Cursor Rules" prompt rules to my project. Repository: https://github.com/grapeot/devin.cursorrules Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
Magic to turn Cursor/Windsurf as 90% of Devin
Tools
Note all the tools are in python3. So in the case you need to do batch processing, you can always consult the python files and write your own script.
Instructions
During your interaction with the user, if you find anything reusable in this project (e.g. version of a library, model name), especially about a fix to a mistake you made or a correction you received, you should take note in the Lessons section in the .cursorrules file so you will not make the same mistake again. You should also use the .cursorrules file as a Scratchpad to organize your thoughts. Especially when you receive a new task, you should first review the content of the Scratchpad, clear old different task if necessary, first explain the task, and plan the steps you need to take to complete the task. You can use todo markers to indicate the progress, e.g. [X] Task 1 [ ] Task 2 Also update the progress of the task in the Scratchpad when you finish a subtask. Especially when you finished a milestone, it will help to improve your depth of task accomplishment to use the Scratchpad to reflect and plan. The goal is to help you maintain a big picture as well as the progress of the task. Always refer to the Scratchpad when you plan the next step.
Screenshot Verification
The screenshot verification workflow allows you to capture screenshots of web pages and verify their appearance using LLMs. The following tools are available: • Screenshot Capture: `bash venv/bin/python3 tools/screenshot_utils.py URL [--output OUTPUT] [--width WIDTH] [--height HEIGHT] ` • LLM Verification with Images: `bash venv/bin/python3 tools/llm_api.py --prompt "Your verification question" --provider {openai|anthropic} --image path/to/screenshot.png ` Example workflow: `python from screenshot_utils import take_screenshot_sync from llm_api import query_llm
Take a screenshot
screenshot_path = take_screenshot_sync('https://example.com', 'screenshot.png')
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Works With
Any AI assistant that accepts custom rules or system prompts