Capture facade project data and generate JSON and PDF reports.
npx skills add https://github.com/FassadenFix/FaFi --skill ff-objekterfassung
Please help me install this Agent Skill. Skill: ff-objekterfassung Source: https://github.com/FassadenFix/FaFi/tree/main/skills/ff_objekterfassung Command: npx skills add https://github.com/FassadenFix/FaFi --skill ff-objekterfassung
This Skill guides on-site data collection for FassadenFix projects, transforming manual paper forms into a structured digital dataset and generating a consistent PDF report.
Run the interactive workflow by executing python3 main.py to start capturing object data and generate a JSON and a PDF.
High-intent search queries and answers about installing and using this skill.
To digitize facade project data, you can use a Python-based interactive workflow that captures address and plaster type inputs, structures them into a JSON dataset, and automatically generates a PDF report for client handoffs.
Yes, you can attach photos during the facade data entry process. The workflow supports photo uploads and state documentation to ensure comprehensive visual records are captured alongside the structured project details.
The best way to calculate facade areas is by using a structured data capture workflow that processes on-site inputs, automatically computing area calculations and outputting the results in both JSON and PDF formats.
Yes, the Python data capture workflow offers flexible usage. You can run it as a standalone CLI workflow by executing python3 main.py or integrate it as a component within a larger agent system.
The CLI workflow for facade PDF generation requires a Python environment to execute and currently lacks external dependencies. It is designed specifically for FassadenFix projects, so its structured data model may not suit unrelated construction domains.
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FassadenFixCapture structured damage reports with photo attachments and JSON export.
