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Scientific Schematics

技能 已验证 活跃

Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

目的

To automate the creation of publication-quality scientific diagrams, making complex concepts visually accessible without manual drawing or coding.

功能

  • AI-driven diagram generation
  • Iterative refinement with quality review
  • Customizable quality thresholds by document type
  • Supports diverse scientific diagram types
  • Publication-ready output

使用场景

  • Creating neural network architecture diagrams for papers
  • Illustrating system architectures and data flow
  • Drawing methodology flowcharts for research studies
  • Visualizing biological pathways or chemical reactions

非目标

  • Manual drawing or template-based diagramming
  • Generating non-scientific or decorative graphics
  • Acting as a general-purpose image editor

工作流

  1. Describe the desired diagram in natural language
  2. Run the generation script with prompt and output path
  3. AI generates an initial diagram (v1)
  4. AI reviews quality against document type threshold
  5. If below threshold, AI refines prompt and regenerates (v2)
  6. Final diagram saved to specified output path

实践

  • AI Prompt Engineering
  • Scientific Visualization Standards
  • Automated Quality Assurance

先决条件

  • OpenRouter API key
  • Python 3.10+
  • requests library

安装

npx skills add K-Dense-AI/claude-scientific-skills

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

已验证
98 /100
1 day ago 分析

信任信号

最近提交3 days ago
GitHub 所有者 K-Dense-AI (opens in new tab)
星标21k
许可证MIT
网站k-dense.ai(opens in new tab)
状态
查看源代码

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