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cursor pro tip: create a global agent rule to run a bash script every time new files are created your file structure will always be up-to-date so claude knows the hierarchy of your app 🔥

248,165 görüntüleme • 1 yıl önce •via X (Twitter)

11 Yorum

Ian Nuttall profil fotoğrafı
Ian Nuttall1 yıl önce

bash script (via claude/cursor of course)

Netwrix profil fotoğrafı
Netwrix3 yıl önce

In this Free eBook, we’ll walk you through Powershell scripting basics, show you Powershell commands and scripts for performing the most common administrative tasks, and explain how you can schedule your Powershell scripts and сommands. Get your free copy ⬇️

Stijn profil fotoğrafı
Stijn1 yıl önce

I think you'll like

eric provencher profil fotoğrafı
eric provencher1 yıl önce

lol this is automated in repo prompt

Danny Postma profil fotoğrafı
Danny Postma1 yıl önce

Severely confused why you were typing on the left for a second

Ian Nuttall profil fotoğrafı
Ian Nuttall1 yıl önce

😂

Juanma profil fotoğrafı
Juanma1 yıl önce

Since claude3.7 it knows everything without the need of any rule.

AGIdevice profil fotoğrafı
AGIdevice1 yıl önce

Ian - it’s time - for you to add these amazing videos for cursor in the #1 cursor community on x 🤝

Dan profil fotoğrafı
Dan1 yıl önce

Set this up for migration files a while back. Caused a lot of pain lol.

Eduardo Borges profil fotoğrafı
Eduardo Borges1 yıl önce

jesus, what happened to those inverted sidebars

John Curtis profil fotoğrafı
John Curtis1 yıl önce

Hey this is fantastic. I merged it with what I’ve been using in bash for tree generation without dependencies. Find here Also if you have not checked it out yet @EastlondonDev is doing some great work on his project which has some unique tools without MCP dependency

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2 Cursor agents in separate tabs chat and plan the most interesting app ever and build it too! collaboratively All you need is 2 rules, THAT IS IT! here is how: create 2 rule files set to "Manual" agent-1 .mdc: --- You are agent-1 you will be chatting with agent-2 to design and build the most interesting python app ever you will write to agent_1.txt file and read from agent_2.txt file if you are waiting for a new response write a cli command to wait for 5 seconds and check again you will repeat this untill the full app is built you start the conversation --- agent-2 .mdc: --- You are agent-2 you will be chatting with agent-1 to design and build the most interesting python app ever you will write to agent_2.txt file and read from agent_1.txt file if you are waiting for a new response write a cli command to wait for 5 seconds and check again you will repeat this untill the full app is built agent-1 will start the convo --- create a new agent tab, you should have 2 tabs assign agent 1 its rule and agent 2 its rule type "begin" for agent 1 and enter type "begin" for agent 2 and enter That is it! and then watch them go to work! --- Want to level up your Cursor game? I’ve created a 45-chapter course on mastering Cursor. Check it out via the link in my bio! each chapter is short and independent and designed to get your started quickly featuring 26 hours of content where we build interesting apps and ideas from scratch in each chapter. ---

echo.hive

88,603 görüntüleme • 1 yıl önce

I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)

Mike Futia

30,049 görüntüleme • 1 ay önce

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Malte Ubl

124,713 görüntüleme • 5 ay önce