Agent skill · writing content · datadrivenconstruction

toolbox-talk-generator

Generate safety toolbox talks for construction crews. Create contextual safety briefings based on weather, work activities, and recent incidents. Support multiple languages.

Why this skill is useful

Generates contextual safety briefings based on specific work activities and hazards that the AI wouldn't reliably create on its own.

What it needs

Requires python3 installed locally. About 7k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.

What this skill does

Toolbox Talk Generator Overview Automatically generate relevant safety toolbox talks based on daily work activities, weather conditions, recent incidents, and seasonal hazards. Support multiple languages for diverse crews. "Daily toolbox talks reduce incidents by 30% when relevant to actual work" — DDC Community How It Works Technical Implementation Quick Start Requirements Integration with LLM `python def generatewithllm(topic: str, context: str) -> str: """Use LLM to generate custom toolbox talk.""" prompt = f""" Generate a 10-minute toolbox talk for construction workers about: {topic} Context: {context} Include: 1. Brief introduction (why this matters) 2. 4-5 specific hazards 3. 4-5 control measures 4. 3 key points to remember 5. 2-3 discussion questions Keep language simple and direct. Workers have varying English levels. """ # Call your LLM API here # response = llm.generate(prompt) r

How to use it

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

@skills datadrivenconstruction/toolbox-talk-generator

View the source on GitHub

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