技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
ieee-reviewer【数据与研究】Review IEEE conference, journal, Transactions, Letters, or magazine manuscripts from a technical reviewer perspective using routed IEEE review gates. Use when evaluating scope fit, novelty, validity, data, clarity, compliance, advancement, engineering significance, method soundness, experiment sufficiency, baseline fairness, figure/table quality, for…
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this skill to simulate a strict IEEE-style technical review. The goal is to find rejection risks and actionable fixes, not to flatter the manuscript.
Do not invent reviewer identities or editorial decisions. Review only the supplied manuscript facts and clearly mark missing materials.
manifest.yaml.always_load.venue_type: transaction / journal / letter / conference / magazine / generic.review_scope: full-manuscript / abstract-intro / method / experiments / figures-tables / rebuttal-readiness / review-comment-audit.domain: ai-ml / communications / control / signal-processing / power-energy / circuits / robotics / embedded-systems / general-engineering.strictness: quick / standard / harsh.Default output:
Review setup
- Detected axes:
- Assessment boundary:
- Central claim:
- Visible evidence:
Major rejection risks
- [severity] issue -> why it matters -> fix
Technical review
- Scope:
- Novelty:
- Validity:
- Data and experiments:
- Clarity:
- Compliance:
- Advancement:
Presentation and first impression
- Figures/tables:
- Formatting/notation:
- Writing:
Actionable revision plan
1. ...
Likely decision posture
- [bounded, non-editorial assessment]
Use Critical, Major, and Minor severity labels.
Do not claim the editor's final decision.
Do not invent experiments, results, citations, line numbers, figure contents, or reviewer biographies.
Do not turn the review into author rebuttal unless the user asks for ieee-response.