
SlabPlugin CCM
CCM version of MultiSlab plugin which allows adding slabs and multislabs from CCM menu
Last updated | 6 days ago |
Total downloads | 27 |
Total rating | 0 |
Categories | Tweaks Networked Tools Integration Tiles |
Dependency string | LordAshes-SlabPlugin_CCM-2.0.3 |
Dependants | 0 other packages depend on this package |
This mod requires the following mods to function

bbepisTaleSpire-BepInExPack
Unified BepInEx all-in-one modding pack - plugin framework, detour library
Preferred version: 5.4.10

LordAshes-FileAccessPlugin
Provides standardized methods for accessing both local file and url resources. Automatically handles searching local folders for assets.
Preferred version: 1.7.1

LordAshes-CommonCustomsMenuPlugin
Common menu for custom content plugins to register with.
Preferred version: 1.0.7README
Asset Navigation and General Execution Library (ANGEL) Plugin
This unofficial TaleSpire pluigin provides a Common Customs Menu (CCM) version of Multi Slab Plugin which allows addition of Slabs and Multoislabs to predefined positions on the board from the CCM menu.
Install
Use R2ModMan or similar installer to install this asset pack.
Usage
Open the Common Customs Menu to select slabs or multi slabs from the Slabs section.
Adding Slabs Or Multi Slabs
The following steps are used to add Slabs or Multislabs:
- Create a Header folder in CustomData. This will be the heading under which the slab is found in the CCM menu.
- Create a Group sub-folder in the Header folder. This will be the group under which the slab is found in the CCM menu.
- Create a file with a
.slab
extension. The contents of the file plain text JSON. - Configure the contents of the file to provide your drop location, your slabs, and their offsets. See example below.
- Optional: create a 128x128 PNG file that has the same name as the slab file but a PNG extension instead. This is the image used in the CCM menu.
{
"autoDrop": false,
"dropX": 0,
"dropY": 0,
"dropZ": 0,
"slabs":
[
{
"code": "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{
"code": "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",
"offsetX": -20,
"offsetY": 0,
"offsetZ": 0
}
]
}
The above contents contain two slabs.
If autoDrop
is true
then the two slabs would be dropped at a base location of 0,0,0 with slab applying its own offset from that base location.
Meaning the first slab would be at 20 along the X and the other at -20 along the X.
If autoDrop
is false
then the base location drop values are replaced by the location that the user selects with each slab being located at its own offset from that location.
Why both the drop position and slab offsets when using autoDrop
is true
? The slab offsets are intended to position each of the slabs with relation to each other.
The drop position is intended to move the whole result. This means if you have many slabs that you have positioned together properly, you can adjust the position of the whole multislab
by adjusting the drop position instead of having to adjust each slab offset.
Limitations
- Currently when using
autoDrop
set tofalse
the spawing is done using a single token which does not show the bounds of the slab area.