Voice To Report

What This Skill Does

The Voice To Report skill transforms raw, unstructured voice memos from construction field workers into professional, actionable project documentation. By leveraging OpenAI's Whisper model for high-fidelity speech-to-text and GPT-4o for intelligent parsing, the skill bridges the gap between on-site verbal reporting and digital project management systems. It automatically identifies key project metrics such as cubic meters poured, trades present, safety incidents, and weather conditions, converting these into clean, structured JSON reports suitable for project management platforms.

Installation

To install this skill, use the following command in your terminal within the OpenClaw environment:

clawhub install openclaw/skills/skills/datadrivenconstruction/voice-to-report

Ensure your OpenAI API key is correctly configured in your environment variables as this skill relies on internal LLM processing.

Use Cases

• Daily Progress Reporting: Replace manual typing with a 30-second audio summary at the end of a shift.
• Safety Observations: Instantly document near-misses or hazard sightings while on the move, ensuring compliance reporting is completed immediately.
• Supply Chain Tracking: Verbally log material deliveries, recording quantities and status upon site arrival.
• Site Inspection Logs: Quickly record findings during walkthroughs without needing to stop and use a mobile interface.

Example Prompts

1. "Record a daily report: We finished the concrete pour on the second floor west wing, total volume 120 cubic meters, 4 workers present, weather is clear and mild."
2. "Log a safety observation: I noticed a loose cable on the scaffolding near the main entrance; it needs to be secured by the electrical team before tomorrow morning."
3. "Update progress: Slab foundation for building A is 80% complete, we encountered minor drainage issues but resolved them by midday."

Tips & Limitations

• Clarity Matters: While Whisper is robust, speaking clearly and avoiding excessive background noise improves transcription accuracy significantly.
• Schema Constraints: The accuracy of the output is heavily dependent on the quality of the provided schema; ensure your definitions for activities and quantities are explicit.
• Data Privacy: Be mindful that audio is sent to third-party API services for processing; ensure your company policy allows for cloud-based transcription.
• Verification: Always have a human supervisor perform a quick review of generated reports, especially regarding safety or critical project data, to mitigate potential transcription hallucinations.