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Export Google Sheets spreadsheets as CSV files for backup or local processing. \n \n Requires gws-sheets and gws-drive skills as prerequisites \n Offers three export approaches: retrieve spreadsheet metadata, export via Drive API with MIME type specification, or read sheet values directly in CSV format \n Supports flexible range selection and sheet targeting for granular control over exported data \n

Bulk-create Google Calendar events from spreadsheet rows using a two-step workflow. \n \n Reads event data directly from Google Sheets ranges, extracting summary, start time, end time, and attendee information \n Creates calendar entries via the gws-calendar skill with support for multiple attendees and custom time ranges \n Requires both gws-sheets and gws-calendar skills to be loaded before execution \n

Compare data across two Google Sheets tabs to identify differences. \n \n Reads data from two separate sheet tabs using the gws-sheets skill \n Requires the Google Workspace ( gws ) bin and gws-sheets skill as prerequisites \n Follows a three-step workflow: read first tab, read second tab, then compare and report changes \n Supports flexible range selection (e.g., January!A1:D , February!A1:D ) for targeted data extraction \n

Duplicate a Google Sheets template tab for a new month of tracking. \n \n Automates the three-step workflow: retrieve spreadsheet metadata, copy a template sheet, and rename the new tab with a month identifier \n Requires the gws-sheets skill and uses Google Sheets API commands for sheet operations \n Ideal for recurring monthly tracking workflows where a consistent template structure needs to be replicated with minimal manual effort \n

Export your Google Contacts directory to a Google Sheets spreadsheet in three steps. \n \n Requires gws-people and gws-sheets skills to be loaded before execution \n Lists contacts from your domain directory with names, email addresses, and phone numbers \n Creates a new sheet with headers and appends each contact as a row for easy reference and sharing \n

Generate audience-specific company tear sheets by pulling live data from S&P Capital IQ via the S&P Global MCP tools and formatting the result as a professional Word document.

Extract Google Sheet data and generate a formatted Google Docs report with sharing. \n \n Requires three Google Workspace skills: gws-sheets for data reading, gws-docs for document creation and formatting, and gws-drive for permission management \n Workflow chains four operations: read sheet ranges, create a new Doc, write formatted content with headers and sections, and share with specified stakeholders \n Supports markdown-style formatting in the report output and role-based access control for

Maintain consistent character appearance across AI-generated images using reference sheets and detailed descriptions. \n \n Create turnaround sheets (front, 3/4, side, back views), expression sheets (6+ emotions), outfit variations, and color palettes to document character design \n Use a 50+ word detailed description anchor reused exactly in every prompt as the most practical consistency technique for small projects \n Train character-specific LoRA models for projects requiring many images, wit

Create consistent characters across multiple AI-generated images via inference.sh CLI.