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

• 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

• Identify research gaps in predictive maintenance, scheduling, anomaly detection, or smart manufacturing

• Produce a structured research report with source-backed evidence

• Draft a structured survey on an Industrial AI subtopic

• Produce a survey manuscript with taxonomy, evidence packs, and section-by-section writing

Do Not Use

• Writing or compiling LaTeX/Typst papers (use latex-paper-en , latex-thesis-zh , or typst-paper ). Note: survey-draft mode produces Markdown by default; for LaTeX output, it delegates final formatting to latex-paper-en .

• 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

Safety Boundaries

• Never fabricate paper metadata (title, authors, venue, year, DOI)

• Never present preprints as peer-reviewed publications

• Never start synthesis before intake questions are answered

• Never suppress contradictions or conflicting evidence

• Never use Tier 4 sources (blogs, press releases) as primary evidence

Core Rules

• Ask the user the four intake questions (see references/question-flow.md ) before starting any search or synthesis.

• Keep the skill workflow in English only, even when the requested report language is not English.

• Prefer recent arXiv plus top IEEE and automation venues over generic web articles.

• Default to the last 3 years, but keep seminal older work when it is still necessary for context.

• Cite every substantive claim and separate verified evidence from inference.

• In survey-draft mode, complete all structure and evidence phases before generating any prose. Structure phases produce YAML/tables only.

Intake Contract

Always start by asking the four intake questions defined in references/question-flow.md :

• Report language (English / Simplified Chinese / Bilingual summary)

• Deliverable mode (research-brief / literature-map / venue-ranked survey / research-gap memo / survey-draft)

• Time window (last 12 months / last 3 years / last 5 years / custom)

• Industrial AI emphasis (predictive maintenance / intelligent scheduling / industrial anomaly detection / smart manufacturing and process optimization / CPS and edge AI / robotics crossover)

If the user does not choose, default to last 3 years and the subdomain implied by their prompt.

Required Inputs

• A concrete Industrial AI topic or question.

• User choices for report language, deliverable mode, time window, and domain emphasis.

• Optional preferences on peer-reviewed-only filtering, benchmarks vs deployment evidence, or desired output format.

If any intake item is missing, ask the mandatory questions from references/question-flow.md before you search.

Source Strategy

Read these files before searching:

• references/source-priority.md

• references/venue-map.md

Primary sources:

• arXiv: eess.SY , cs.AI

• IEEE and automation anchors: T-ASE , CASE

Supporting crossover sources:

• arXiv: cs.RO , cs.LG

• IEEE robotics venues: ICRA , IROS , RA-L , T-RO

• Adjacent industrial and control venues listed in references/venue-map.md

When the user asks for the latest work, prefer:

• arXiv recent streams for rapid updates

• top IEEE and automation venues for stronger publication filtering

• secondary crossover venues only when they materially improve coverage

Workflow

Phase 1. Scope

• Rewrite the request as a precise Industrial AI research objective.

• Lock the report language, deliverable mode, time window, and domain emphasis.

• State explicit in-scope and out-of-scope boundaries.

Phase 2. Search Plan

• Build venue buckets and keyword groups from references/source-priority.md .

• Separate primary sources from secondary crossover sources.

• State the recency policy and any seminal-paper exceptions.

Phase 3. Source Collection

• Gather papers from the prioritized source buckets.

• Prefer official venue pages, arXiv recent listings, IEEE Xplore landing pages, and publisher or conference pages.

• Record why each paper was included.

Phase 4. Verification and Triage

• Check venue quality, publication type, year, and relevance.

• Remove weak matches, duplicates, and generic blog-style sources.

• Mark unreviewed preprints as preprints.

Phase 5. Synthesis

• Cluster the shortlisted papers by problem, method, dataset, deployment setting, and evaluation style.

• Surface trends, gaps, contradictions, and under-explored opportunities.

• Run a contrarian pass: what would challenge the dominant conclusion?

Phase 6. Report Assembly

Use the stable report structure from references/report-modes.md .

Every final report must include:

• search scope

• source buckets by venue

• shortlisted papers

• synthesis of trends and gaps

• recommended next reading or next experiments

Survey-Draft Workflow (Phases S1–S4)

When the user selects survey-draft , Phases 1–4 (Scope, Search Plan, Source Collection, Verification) execute as normal, then S1–S4 replace the original Phases 5–6.

Phase S1. Outline Building

Read references/modules/SURVEY_OUTLINE.md .

• Extract a taxonomy from the verified literature.

• Build the section skeleton as structured YAML.

• Present the outline to the user for approval.

• CHECKPOINT: do not enter S2 until the user approves the outline.

Phase S2. Evidence Pack Assembly

Read references/modules/SURVEY_EVIDENCE.md .

• Assemble an evidence pack for every H3 subsection.

• Lock the citation scope for each subsection.

• Produce structured evidence bundles (no prose).

Phase S3. Section-by-Section Writing

Read references/modules/SURVEY_WRITER.md .

• Draft each H3 independently, grounded in its evidence pack.

• Run the self-check gate on every H3 (depth, citation scope, tone).

• Produce one Markdown file per H2 section.

Phase S4. Merge and Quality Gate

Read references/modules/SURVEY_MERGE.md .

• Merge all section drafts into a single document.

• Run cross-section consistency checks.

• Apply the final quality checklist.

• If the user requested LaTeX output, delegate to latex-paper-en .

Deliverable Modes

Read references/report-modes.md and follow the selected mode exactly.

• research-brief : short, decision-ready overview

• literature-map : thematic map across methods and subproblems

• venue-ranked survey : grouped by source quality and venue tier

• research-gap memo : open problems, design space, and next-step opportunities

• survey-draft : taxonomy-driven survey manuscript with outline-first writing and optional LaTeX export

Output Contract

• State the locked intake choices and any defaults you applied before synthesis.

• Distinguish verified evidence from inference in every deliverable.

• Label preprints explicitly as preprints.

• For non-survey modes, produce a structured report that includes: scope, source buckets, shortlisted papers, synthesis, and next reading or next experiments.

• For survey-draft , keep stage outputs format-specific:

• S1: YAML outline only

• S2: evidence packs or tables only

• S3: section Markdown drafts grounded in the evidence packs

• S4: merged Markdown survey with cross-section consistency notes

• If sources are sparse, inaccessible, or off-scope, say so directly and report the exact fallback you used.

Module Router

Module Use when Primary action Read next

research

User selects any of the 4 report modes Execute Phase 1–6 workflow references/report-modes.md

survey-outline

User selects survey-draft (Phase S1) Build taxonomy and section skeleton references/modules/SURVEY_OUTLINE.md

survey-evidence

Outline approved by user (Phase S2) Assemble per-H3 evidence packs references/modules/SURVEY_EVIDENCE.md

survey-write

Evidence packs complete (Phase S3) Draft prose per H3 references/modules/SURVEY_WRITER.md

survey-merge

All sections complete (Phase S4) Merge, quality gate, optional LaTeX handoff references/modules/SURVEY_MERGE.md

Quality Bar

Read references/quality-checklist.md before finalizing.

Non-negotiable standards:

• no unsupported claims

• no venue-blind source mixing

• no hiding contradictions

• no synthesized report before intake questions are answered

• no generic "latest research says" language without source-backed evidence

Error Handling

• Zero results: Broaden keywords, relax the time window by one tier, and try adjacent venues. If still empty, report the negative result with the exact queries attempted.

• Off-subdomain topic: State that the topic falls outside Industrial AI scope, suggest the closest supported subdomain, and ask the user whether to proceed or abort.

• Inaccessible databases: Note which sources were unreachable, proceed with available sources, and flag the gap in the final report.

• Too few papers (<5 shortlisted): Lower the time window threshold, include Tier 2/3 venues, and explicitly note the thin evidence base in the synthesis.

Reference Map

File Phase When to read

references/question-flow.md

Intake Before asking the user any questions

references/source-priority.md

Search Plan Before building venue buckets

references/venue-map.md

Search Plan Before selecting specific venues

references/report-modes.md

Report Assembly Before structuring the final output

references/quality-checklist.md

Report Assembly Before finalizing the report

references/modules/SURVEY_OUTLINE.md

Survey S1 When building the survey outline

references/modules/SURVEY_EVIDENCE.md

Survey S2 When assembling evidence packs

references/modules/SURVEY_WRITER.md

Survey S3 When drafting survey sections

references/modules/SURVEY_MERGE.md

Survey S4 When merging and running quality gate

references/SURVEY_WRITING_GUIDE.md

Survey S1–S4 Survey writing philosophy reference

Examples

• examples/predictive-maintenance.md

• examples/intelligent-scheduling.md

• examples/industrial-anomaly-detection.md

• examples/survey-predictive-maintenance.md

Example Requests

• “Research recent predictive maintenance papers from the last 3 years and return a research-brief.”

• “Compare industrial anomaly detection papers across arXiv and IEEE automation venues, and show contradictions in evaluation setups.”

• “Draft a survey on intelligent scheduling for researchers new to the subfield, but stop after the YAML outline for approval.”

• “My topic is warehouse picking robotics. If that is outside scope, tell me the closest supported Industrial AI framing and proceed only with that.”

Boundaries

This v1 skill does not implement:

• systematic review mode

• meta-analysis

• IRB-heavy or clinical ethics branches

• standalone automation scripts

If the user needs those, state the boundary and continue with the closest supported research mode.