industrial-ai-research

What problem does it solve?

Industrial AI research workload can stall at intake or source selection; this skill provides an intake-locking workflow, venue-aware source prioritization, and structured deliverables to accelerate research planning and writing.

Core Features & Use Cases

• Intake contract: enforces four mandatory intake questions before any search or synthesis.
• Venue-aware sourcing: prioritizes recent arXiv streams and top IEEE/automation venues, with clear labeling of preprints.
• Deliverable agility: supports research-brief, literature-map, venue-ranked survey, research-gap memo, and survey-draft modes.
• Survey drafting pipeline: enables outline-first drafting with evidence packs and a quality-gated final draft.
• Evidence-driven synthesis: produces structured outputs (shortlists, maps, and gap analysis) with explicit source attribution.

Quick Start

Provide topic and preferences; I will lock intake fields, assemble sources, and deliver a structured report in your chosen mode.