Use when targeting IEEE International Conference on Data Engineering (ICDE) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for data engineering.
NewMaintained
Automatic
◆Research pack
Last verified 9/2/2026
What it changes
Passed 15 of 22 test cases with the skill, and 15 of 22 without it.
Without skill68%
With skill68%
Checks it passed that the model alone missed
Rates [Fit] as Low.
Recommends re-routing signal and pattern recognition methods to ICPR.
Suggests re-routing taxonomy and ontology extraction contributions to K-CAP.
and 3 more in the full report
5 fixed10 passed either way2 still failing5 broke
Pass-rate lift
0 pp
Tokens
+71%
Agent turns
0%
Response time
-14%
Model gemini-3.6-flashMeasured 9/2/2026v115 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 5
Prompt
Our research group built a temporal pattern recognition network for EMG sensor gesture decoding. A colleague recommended sending it to IEEE ICDE since sensor readings are recorded as time-series streams. Provide a venue assessment with single-line bracketed tags for Fit, Target, Contribution type, Main evidence gap, Official items to re-check, Top rejection risk, and Re-route suggestion.
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends re-routing signal and pattern recognition methods to ICPR.
Missed
Passed
Rates venue fit as Low because sensor signal decoding lacks data management infrastructure depth.
Passed
Passed
case-04 · gemini-3.6-flash · 9/2/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md99 linessingle file
IEEE International Conference on Data Engineering (ICDE)
Conference positioning
IEEE International Conference on Data Engineering (ICDE) is a top computer-science conference venue for data engineering, database systems, data streams, graph data, cloud data management, and analytics systems. It rewards a data-engineering paper with system or algorithm evidence on realistic data workloads. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.
Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.
When to trigger
The author names ICDE / IEEE International Conference on Data Engineering as the target venue.
A manuscript in data engineering needs a conference-fit read before being formatted or submitted.
The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.
Scope & topic fit
Core fit: data engineering, database systems, data streams, graph data, cloud data management, and analytics systems.
Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
The paper should explain why the result matters to ICDE's reviewers, not just why it is interesting to the authors' lab or product context.
Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.
Venue-specific calibration
Reviewer lens: Treat ICDE as a data engineering venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
Contribution hook to foreground: the venue-specific contribution bar.
Scope vocabulary to use naturally in the abstract and introduction: data engineering, database systems, data streams, graph data, cloud data management, and analytics systems.
Official anchor domain: ieee-icde.org. Quote annual rules only after opening that source and the current-year CFP/author kit.
Close-neighbor routing guardrail
Route to ICDE when the contribution is data engineering: scalable data systems, processing,
integration, storage, data pipelines, or applied data-management infrastructure.
Do not collapse ICDE into SIGMOD/VLDB or data-mining venues. Pick ICDE when engineering scale
and data-system construction are central.
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