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 aw in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i file.sct -c "convert to aw" (how).
Documents - File Explorer─☐✕
This PC › Documents
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Desktop
Downloads
Documents
Pictures
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.sctContract.sct
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
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Let your AI agent convert SCT to AW
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 AW”
Or run it yourself:
filestarcli -i file.sct -c "convert to aw"
Runs in Filestar's cloud and needs a Filestar plan.
Can my AI agent convert SCT to AW?
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 aw".
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 AW file type, standing for Answer Wizard File, is associated primarily with Microsoft Office applications, particularly with Microsoft Word and its integrated help system. AW files are designed to store indexes and data used by the Answer Wizard feature, enabling users to search for and receive help or answers to questions about using Microsoft Office programs. The Answer Wizard offers a more intuitive way for users to find assistance by allowing them to type questions in natural language, after which it searches through its database of AW files to provide relevant help.
