AI SummaryDuring you 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 s
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "AI-Library — Cursor Rules" prompt rules to my project. Repository: https://github.com/Ly-GGboy/AI-Library 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
https://ailibrary.space/
Tools
Note all the tools are in python. So in the case you need to do batch processing, you can always consult the python files and write your own script.
Prerequisites
• [X] 已有阿里云域名 • [X] Cloudflare 账号设置 • [ ] Cloudflare Tunnel 配置 • [X] DNS 设置
Instructions
During you 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.
LLM
You always have an LLM at your side to help you with the task. For simple tasks, you could invoke the LLM by running the following command: ` py310/bin/python ./tools/llm_api.py --prompt "What is the capital of France?" ` But usually it's a better idea to check the content of the file and use the APIs in the tools/llm_api.py file to invoke the LLM if needed.
Discussion
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Works With
Any AI assistant that accepts custom rules or system prompts