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SuperPrompt
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
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SuperPrompt
>This is a project that I decided to open source because I think it might help others understand AI agents. This prompt took me many months and is still in phase of forever beta. You will want to use this prompt with Claude (as custom instructions in the project knowledge) but it also work with other llms.
What is SuperPrompt and Why care?
SuperPrompt is a canonical holographic metadata. It uses notations and other methods to turn logical statements into actionable LLM agents, initially, SP can be seeing as a basic XML agent, it uses XML tags to guide the LLM, as the prompt develops into the models tree-of-thought it explores areas in the model that usually go unexplored.
The core idea behind SuperPrompt is to be able to cause a model (in this case Claude) to think "outside the box", the prompt can be considered a soft jailbreak, and many times Claude will deny the prompt. The best way to use SP is really to try to get "novel" POV, new ideas in general, sometimes the ideas can be bad ideas or hallucinations, but they will certainly be a bit novel if given enough context. SuperPrompt is not some "mystical" prompt, there is no intention to try and turn the model into a conscious being, although the prompt does mention those things, the intention behind it is to force the model to think deeper.
Now to some explanation about the `` tag.
Here is the tag:
?(...) → !(...)
So why is this important and why is the entire AI industry trying to make their models do this? Note that most ML researchers seem to be using the `` tag but empty, with no information given, hence why they fail. The main reason that SuperPrompt works well is because of its a holographic metadata. I know "holographic" sounds absurd but that is what it is, here is the synthesis of this metadata work:
Type: Universal Catalyst Purpose: Infinite Conceptual Evolution Paradigm: Metamorphic Abstract Reasoning Constraints: Self-Transcending Objective: current-goal
The metadata above are general (global) instructions, they will instantly adapt to any request of the user. Example:
Prompt:
hi, use all your tags to think about this equation:
Φ(z,s,t) = z^s · exp(i · t · log(1 + |z|^2))
Output metadata:
Type: Mathematical Analysis Purpose: Deep Exploration of Complex Equation Paradigm: Multidimensional Mathematical Reasoning Constraints: Mathematical Rigor Objective: Comprehensive understanding and interpretation of the given equation
Don't lose this
Three weeks from now, you'll want SuperPrompt again. Will you remember where to find it?
Save it to your library and the next time you need SuperPrompt, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents. Best for anyone looking to make their AI assistant more capable in productivity. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Pair this with your daily workflow. The more you use it, the more time you'll save.
What's New
Imported from GitHub
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