Agent skill · writing content · datadrivenconstruction

voice-to-report

Convert voice recordings to structured construction reports. Field workers speak, AI transcribes and formats. Supports daily reports, safety observations, progress updates.

Why this skill is useful

Adds specific voice transcription and report structuring commands that are tailored for construction reporting, which the AI wouldn't reliably generate on its own.

What it needs

Requires python3 installed locally. Requires openai account access. About 3k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.

What this skill does

Voice to Report Overview Field workers prefer talking over typing. This skill converts voice recordings into structured construction reports using speech-to-text and LLM processing. Why Voice? Typing Voice -------- ------- Slow on mobile 3x faster Requires attention Hands-free Limited in cold/rain Works anywhere Formal language Natural expression Short messages Detailed descriptions Architecture Quick Start Report Schemas Daily Report Schema Safety Observation Schema Progress Update Schema n8n Workflow Multi-Language Support Mobile App Integration Cost Optimization Requirements Resources OpenAI Whisper: https://platform.openai.com/docs/guides/speech-to-text Local Whisper: https://github.com/openai/whisper n8n Voice Processing: https://docs.n8n.io/integrations/

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills datadrivenconstruction/voice-to-report

View the source on GitHub

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