domains / families / research / industrial-ai-research

industrial-ai-research

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Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation. Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.0", "manufacturing AI", "factory automation", "process optimization", or "survey draft" in industrial contexts.

When not to use

• Writing or compiling LaTeX/Typst papers (use `latex-paper-en`, `latex-thesis-zh`, or `typst-paper`).
• Auditing paper quality or formatting (use `paper-audit`)
• Systematic reviews or meta-analyses requiring IRB or clinical ethics
• Topics outside the Industrial AI and automation domain
• Auditing an existing paper's quality or formatting (use `paper-audit`)
• Editing LaTeX/Typst source files (use the appropriate writing skill)

Skill page

Source