Prof. Man's Innovation Eval
Prof. Man's Innovation Eval
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Description
This skill is a complete replication of Professor Man's (Professor Man's Research World) 2025 released world-class prompt for 'Multi-dimensional Innovation Assessment of Top Journal SCI Papers'. After entering the paper title, core scientific question, core innovation strategy, and sub-innovation points, it automatically performs deconstruction of six innovation types, literature comparison benchmarking, multi-dimensional scoring (novelty, importance, transcendence, logic), and generates a complete evaluation report including a one-sentence conclusion, radar chart scores, strengths & risks analysis, submission suggestions, and Cover Letter phrasing. Suitable for researchers aiming for top journals such as Nature, Science, Nat. Energy, Joule, Adv. Mater., etc., to accurately diagnose innovation before submission and avoid blind submissions. Trigger words: top journal innovation assessment, SCI innovation evaluation, Professor Man innovation evaluation, Nature
Recommended by
Nico@YouMind
Why we love this skill
Professor Man evaluates paper innovation with the rigor of a top-journal reviewer, providing in-depth analysis and strategic advice to help you stay at the research frontier.
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SCI Review Novelty Check – 慢老师
The 慢老师 SCI Review Novelty Check skill is an academic tool specially optimized for depth. It helps researchers systematically and accurately assess whether the innovation points of their own SCI review articles are sufficiently novel and unique, avoiding duplicate publication. The skill strictly follows Professor Slow's T+D Innovation Paradigm through a complete 4-step process: collect 6 core pieces of information from the manuscript, generate multi-dimensional search strategies in Chinese and English, real-time comparison with highly similar literature from the past 5 years, and output a professional report. Ultimately, it produces a complete Chinese report covering three major sections: [Overall Novelty Judgment], [Innovation Points and Unique Contributions], and [Potential Risks and Countermeasure Suggestions].
SCI Cover Letter Slow Teacher
This skill treats your journal submission cover letter as an advertisement for your paper. It first forces you to compress your research into a single core innovation point ("one word") and decide whether it follows the "science" route (material/structure/mechanism/method) or "engineering" route (performance/application). Then, it generates an 8-section English cover letter ready for submission: a four-sentence selling arc covering problem, innovation, data, and significance; journal matching information; and standard declarations. It uses the most concise, objective language (rejecting flashy words like "employs" or "shatter the ceiling") and fits within one page. Including a figure is mandatory: for performance types, it provides literature comparison scatter plots or tables; for mechanism/structure types, it actively diagnoses your existing figures (five-point check), gives a redraw list, and directly outputs an SVG draft. It can also critique an existing draft, pointing out common flaws such as listing multiple innovations, lacking data, copying the abstract, or having no journal targeting, and rewrite it. Compatible with universal agents like Claude Code and Codex. Trigger phrases include "help me write a cover letter", "submit to SCI", "is this letter good", and "which figure should I show the editor".
Man's SCI Review
Simulates a virtual review committee of three top experts—a top-journal editor, an academician-level field founder, and a master of research storytelling—to conduct an in-depth review of SCI manuscripts. It follows a “Michelin tasting” philosophy, assessing whether a paper is merely “an experimental report made with good ingredients” or a Michelin-level dish that brings a new flavor to the field. Delivers a complete bilingual review document: a detailed Chinese analysis report (Framing → Narrative → Tasting → Rigor) plus a formal English review report (To the Editor + To the Authors + Recommendation). Suitable for any SCI/SCIE discipline.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
