industrial-ai-research
Industrial AI Research
Run a lean, source-aware research workflow for Industrial AI.
Capability Summary
- Structured literature research for Industrial AI and automation topics
- Mandatory four-question intake before any search or synthesis
- Venue-aware source prioritization (arXiv, IEEE, automation venues)
- Four deliverable modes: research-brief, literature-map, venue-ranked survey, research-gap memo
- Contrarian synthesis pass to surface contradictions and under-explored gaps
- Consensus -> disagreement -> limitations -> gap synthesis discipline for survey prose
- Survey draft generation: outline-first writing with per-section evidence packs and optional LaTeX export
Triggering
Use this skill when the user wants to:
- Survey Industrial AI literature on a specific subtopic
- Compare papers across venues or methods within Industrial AI
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