1063aa5482
* Update mash.rs Use StatusModule::change_status_request_from_script * Extract Method * Fix Air Dodge * Add Reset Trigger * Update Mash Split up buffering and performing the action Moved performing hook to fix being a frame late |
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.cargo | ||
.github/workflows | ||
.vscode | ||
src | ||
TrainingModpackOverlay@1bede8c899 | ||
.gitignore | ||
.gitmodules | ||
aarch64-skyline-switch.json | ||
Cargo.toml | ||
link.ld | ||
README.md | ||
rust-toolchain | ||
Xargo.toml |
Ultimate Training Modpack Plugin
A Skyline plugin using cargo-skyline for adding features to the training mode. It interfaces with a Tesla, a Switch custom overlay, for use as a menu to the features offered in training mode.
Built releases can be found here.
Features
The features in this modpack are configured through the Tesla menu, which can be accessed at any time with by pressing L+X+DPad Left
. This button configuration is fully configurable in the file /config/tesla/config.ini
.
Save States
At any time in Training Mode, you can press Grab + Down Taunt
to save the state of training mode. This will save the position, state, and damage of each fighter, which can then be reverted to at any time with Grab + Up Taunt
. Use this instead of the built-in training mode reset!
Hitbox Visualization
Currently, hitboxes and grabboxes are supported. When visualization is active, other move effects are temporarily turned off for easier visualization.
Mash Toggles
Note: Combine this with the shield toggles to force the CPU to perform options OoS when their shield is damaged!
Airdodge
CPUs will mash airdodge on the first frame out of hitstun.
CPUs will also shield quickly if they are hit and remain grounded.
Jump
CPUs will mash jump on the first frame out of hitstun.
Attack
CPUs will mash an attack on the first frame out of hitstun and when landing. Attacks that can be chosen include:
- All aerials, followed by all specials
Random
CPUs will mash an aerial or grounded option on the first frame out of hitstun and when landing. The aerial options include:
- Airdodge, jump, all aerials, all specials
The grounded options include:
- Jump, jab, all tilts, all smashes, all specials, grab, spotdodge, and rolls
Ledge Option
CPUs will perform a random ledge option. Specific ledge options that can be chosen include:
- Normal, roll, jump, and attack
CPUs will also perform a defensive option after getting up.
Tech Option
CPUs will perform a random tech option. Specific tech options that can be chosen include:
- In place, roll, and miss tech
CPUs will also perform a defensive option after getting up.
Defensive Option
Choose the defensive option a CPU will perform after teching or getting up from the ledge. Specific options include: Flash shield, spotdodge, and jab
Shield
Infinite
CPUs will hold a shield that does not deteriorate over time or by damage.
Hold
CPUs will hold a shield that does not deteriorate over time until hit for the first time.
Force CPU DI
All DI Toggles
Specified Direction
CPUs DI in the direction specified, relative to the player's facing position.
Random Direction
CPUs DI randomly in or away.
Build from Source
The overall process can be found in the Github Actions specification file as well.
Prerequisites
- Rust environment with cargo-skyline
- DEVKITPRO
switch-dev
installation - Built Skyline, Tesla nx-ovlloader and Tesla Menu, and libnro_hook.nro
Build steps
# clone the repository recursively
git clone --recursive
# to build the training mod Skyline plugin
# resulting build is found in target/aarch64-skyline-switch/release/libtraining_modpack.nro
cargo skyline build --release
# to build the training mod Tesla overlay
# resulting build is ovlTrainingModpack.ovl
cd TrainingModpackOverlay && make