Experimental release of VFPrep GPT beta version. You can register it in the ChatGPT sidebar and type to search frames by character name and move command.
You can practice frame advantage and disadvantage against key moves using an output-focused "Action Learning" method.
Why not start with your own character or the opponents you face most often?
As you repeat the process, you'll gain the confidence to make split-second decisions
in real matches—knowing exactly when to interrupt or when to stick to defensive options.
In the Data section, you can view detailed specs for every character's moves.
In addition to move lists, there are shortcuts for guaranteed punishes and sorting options like startup speed. Why not start by checking the signature moves introduced in your character's in-game tutorial here?
Next, use FlowBuilder to build strings around those moves. As you play and design bit by bit—asking "What are my options on hit? What if it's guarded?"—it will help organize your thoughts.
Once you've learned the moves and designed your strings, it's a good idea to use the LastMin feature to summarize the key points you consider important for each opponent.
You might only be able to use a fraction of your prep in a real match, but that's part of the fun.