ff-objekterfassung

Name: ff-objekterfassung
Availability: InStock
Author: fassadenfix

Capture facade project data and generate JSON and PDF reports.

Updated Oct 31, 2025

Search Tags:#python #facade #capture #PDF-generation #data-entry #photo-upload

Ready to run

npx skills add https://github.com/FassadenFix/FaFi --skill ff-objekterfassung

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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.

Core Features & Use Cases

Guided data capture for project details (address, property type, plaster type)
Photo attachments and state documentation to support visual records
Automatic area calculations and PDF report generation for client handoffs
Flexible usage as a CLI workflow or integrated agent component

Quick Start

Run the interactive workflow by executing python3 main.py to start capturing object data and generate a JSON and a PDF.

Frequently Asked Questions about ff-objekterfassung

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I digitize on-site facade project data and generate a PDF report?▼

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.

Can I attach photos during facade data entry for visual records?▼

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.

What is the best way to calculate facade areas from on-site data collection?▼

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.

Does this Python data capture workflow work as an integrated agent component?▼

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.

What limitations exist when using CLI workflows for facade PDF generation?▼

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.