Generate NSFC proposal figures using Mermaid and Python templates.
npx skills add https://github.com/njzjz/nsfc-agent-skills --skill nsfc-figure
Please help me install this Agent Skill. Skill: nsfc-figure Source: https://github.com/njzjz/nsfc-agent-skills/tree/main/nsfc-figure Command: npx skills add https://github.com/njzjz/nsfc-agent-skills --skill nsfc-figure
这项技能提供面向 NSFC 申请书的专业图表设计指南，帮助研究人员高效生成清晰、专业的图表，提升材料的一致性与说服力。
Run the Mermaid templates or the Python roadmap generator with your project data to produce publication-ready visuals.
High-intent search queries and answers about installing and using this skill.
You can create NSFC technical route diagrams by running the provided Mermaid templates or the Python roadmap generator with your project data. This produces consistent, publication-ready visuals suitable for research plans.
Generating concept diagrams for NSFC applications is best done using the Python templates included in this skill. They enforce design principles and resolution specifications to ensure your figures meet publication-ready standards.
Yes, the Python templates in this NSFC figure generator require matplotlib as a dependency. Mermaid templates are also available if you prefer generating concept diagrams without Python.
Yes, you can use Mermaid to build research content relationship diagrams for an NSFC proposal. The skill provides Mermaid templates that enforce YAML frontmatter metadata and design principles for consistent visuals.
NSFC proposal figures should follow consistent color schemes, resolution specifications, and YAML frontmatter metadata. These design principles ensure your concept diagrams and technical routes remain clear and publication-ready for reviewers.
Mermaid templates for NSFC baseline visuals are limited by diagramming complexity compared to Python. For highly customized research content relationship diagrams, use the Python matplotlib templates instead of Mermaid.
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