N8N Photo Report

What This Skill Does

The N8N Photo Report skill serves as an intelligent bridge between raw field photography and formal project documentation. It leverages OpenClaw's integration capabilities to trigger automated n8n workflows that ingest site photos from sources like Dropbox or direct webhook uploads. Once ingested, the images are sent to Anthropic's Claude Vision model, which performs semantic analysis to extract critical project data, including current work activities, percentage of completion, potential safety hazards, and environmental context. The result is a structured JSON dataset that feeds directly into automated reporting pipelines, eliminating the manual overhead typically associated with site documentation.

Installation

To integrate this skill into your environment, ensure you have the OpenClaw agent runtime configured and n8n running with valid environment variables for your API keys. Execute the following command in your terminal:

clawhub install openclaw/skills/skills/datadrivenconstruction/n8n-photo-report

After installation, configure your n8n workflow credentials, specifically ensuring your ANTHROPIC_API_KEY is mapped correctly in the system environment to allow the AI image analysis nodes to authenticate securely.

Use Cases

This skill is highly effective for construction project managers who need to maintain an accurate daily record of site progress. It is specifically designed for:

1. Automating daily progress reports by comparing site photos against planned milestones.
2. Improving job site safety by identifying visible hazards (e.g., lack of PPE, obstructed pathways) in real-time photos.
3. Creating historical archives of site conditions for compliance and stakeholder updates without manual filing.

Example Prompts

1. "Analyze the latest photos in the /SitePhotos folder and create a summary report of today's progress for the project stakeholders."
2. "Check today's site uploads for any safety violations or missing safety equipment and notify the site supervisor if necessary."
3. "Generate a weekly summary report based on all images analyzed this week, focusing on structural completion percentage."

Tips & Limitations

To ensure high-quality output, provide high-resolution images with adequate lighting. While Claude Vision is powerful, it is not a replacement for professional safety audits; use this tool as a secondary layer of oversight. Ensure your n8n webhook endpoint is secured with proper authentication tokens to prevent unauthorized data injection into your reporting pipeline. Periodic review of the generated JSON output is recommended to fine-tune the prompt instructions sent to the vision model.