Download and install the latest version of Filestar.
Right click on one or more Sct file(s) on your desktop and select Convert with Filestar.
Type convert to viff in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i file.sct -c "convert to viff" (how).
Documents - File Explorer─☐✕
This PC › Documents
Home
Desktop
Downloads
Documents
Pictures
Music
.sctContract.sct
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
ConvertMergeCompressExtractMoveZip
Let your AI agent convert SCT to VIFF
Claude Code, Codex, Cursor and other agents can do this with Filestar. This skill runs in Filestar's cloud and needs a paid Filestar plan.
Install Filestar and add it to your agents:
npm install -g filestar
filestarcli agent install
Then ask your agent:
“Convert the SCT files in my Downloads folder to VIFF”
Or run it yourself:
filestarcli -i file.sct -c "convert to viff"
Runs in Filestar's cloud and needs a Filestar plan.
Can my AI agent convert SCT to VIFF?
Yes, with a paid Filestar plan: this skill runs in Filestar's cloud. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i file.sct -c "convert to viff".
The SCT file type, associated with Windows Scriptlet, is a script file format used by Windows Script Host. Scriptlets are small pieces of code written in languages supported by the Windows Script Host, such as VBScript or JScript. These script files can automate tasks, manipulate files and folders, and interact with system services on a Windows operating system. An SCT file contains XML-formatted data that defines the script's properties, references, and the script code itself.
The Visualization Image File Format (VIFF) is a specialized file format designed for storing image data. It is primarily used in scientific and technical applications where complex visualization of multi-dimensional data is required. VIFF files can store various types of data including grayscale, color, and multi-spectral images, making them suitable for tasks such as image processing, medical imaging, and remote sensing. This format supports a range of metadata, allowing for the inclusion of information about the image data, such as dimensions and color.
