It’d be great if Pickaxe came with a Pickaxe Builder pickaxe pre-loaded.
It would know what tier the user is on, and amend the output accordingly, and then say what extra features they could add if they upgraded. Would really help with getting started.
It would advise on all the prompt, configuration, knowledge and actions for the pickaxe. And be cloneable so the user can customise it for themselves.
(And ideally build it too.)
The automatic pickaxe builder already is good, it doesn’t start afresh each time or advise on the settings. And it’d be good to save it elsewhere as a doc so that you have it if you need to start again for any reason.
I’ve built one for myself and I bet a bunch of other people have also.
Hi @chiraly
Thanks so much for taking the time to share such a detailed vision. A built-in builder that adapts to each plan and guides users through setup sounds like it could be a really useful addition. I’ll be sure to pass this along to the team 
Best,
Abhi
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I have a prompt engineer pickaxe I built to help me build the prompts. It doesn’t do the other stuff, but that’d be sweet.
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@stephenbdiaz
That sounds great! Please feel free to share it if you’d like, but I completely understand if it’s meant for private use.
And another Pickaxe that does Strategy for a Studio eg I want to build a Studio to help X type of people to do Y things. And then the Pickaxe would recommend how to set up User Memory and which Pickaxe should go in which sequence, and how they should call each other.
It’s behind a paywall so I don’t want to come off as trying to sell something here, but if you’re an admin maybe you have access to my account? Feel free to go in there and see how it’s set up. For others, I’ll tell you how I made it
I took all the “leaked” prompts from top AI tools like these: GitHub - jujumilk3/leaked-system-prompts: Collection of leaked system prompts and these: GitHub - x1xhlol/system-prompts-and-models-of-ai-tools: FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser, Xcode, Trae AI, Cluely & Orchids.app (And other Open Sourced) System Prompts, Tools & AI Models.
And using that as a baseline. I fed all those into openai’s top reasoning model and had it analyze what are the commons structures, must haves, and overlaps between some of these top prompts. I also had it find the average length (this was key later)
I then asked it to help me design the system prompt for a system prompter based on those prompts (it was like prompt inception at this point)
I worked with it until it was just right but the key thing I found to getting super dialed output was put a MINIMUM character limit on the responses. So essentially I told it do not respond with a system prompt less than XX,XXX characters. This forces it to go super deep on each aspect and it’s pretty incredible what it comes up with.