AI Agent Hub
Back to skills
NSFC Identification of Key Scientific Questions icon

NSFC Identification of Key Scientific Questions

Professional Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please install @user_5933f5b3/nsfc-key-scientific-question according to https://skillhub.cn/install/skillhub.md.

About this skill

What It Solves

In NSFC proposals, a common weakness is not the lack of research content, but key scientific questions that remain at the level of “what is happening,” “how it looks,” or “what exists.” Such wording can read as phenomenon-driven, descriptive, or inductive in review contexts. This skill pushes a research idea, justification draft, or preliminary evidence toward the mechanism layer: underlying mechanisms, evolutionary pathways, interaction networks, and dynamic boundaries.

How It Works

  • Three-layer transformation: converts surface-level phenomena into fundable scientific questions instead of producing a generic title.
  • Mechanism verb constraints: prefers mechanism-oriented terms such as evolution, drives, regulates, interacts, responds, and emergence, while reducing generic wording such as explore, summarize, and analyze.
  • Three candidate versions: generates options around mechanism-evolution path, mechanism-interaction network, and mechanism-boundary response, making it easier to compare the argumentative center of each question.
  • Taboo checks: flags weak patterns such as phenomenon listing, pure description, induction, and overly broad exploration, with reasons for rejection.

Scope and Limitations

It is best used for polishing NSFC key scientific questions, project justification, and research foundations, especially in social science, complex systems, algorithmic governance, and labor economics, where claims need to move from observed phenomena to explanatory mechanisms. It does not write a full proposal by itself and should not replace domain judgment; users still need to provide concrete research material and verify that the final question matches the data, methods, and literature base.

Use Cases

  • Refine a descriptive research idea on zero-work and algorithm management into mechanism-driven NSFC key scientific questions.
  • Review a draft for generic verbs such as explore, summarize, and analyze, then replace them with mechanism-oriented wording.
  • Generate three candidate questions across evolution path, interaction network, and boundary response to compare the argumentative focus.
  • Flag taboo patterns such as phenomenon listing, pure description, and broad exploration before submission.

Best For

  • Researchers preparing NSFC proposals who need to turn descriptive ideas into mechanism-level scientific questions.
  • Supervisors who need to critique and revise generic phrasing in students’ project justification drafts.
  • Social science scholars who need to convert labor, algorithmic governance, or similar topics into testable mechanism questions.
  • Proposal editors who need to identify weak explanatory wording and suggest concrete revision directions.