Generate publication-quality technical diagrams from natural language prompts.
npx skills add https://github.com/flight505/nano-banana --skill diagram-flight505
Please help me install this Agent Skill. Skill: diagram Source: https://github.com/flight505/nano-banana/tree/main/skills/diagram Command: npx skills add https://github.com/flight505/nano-banana --skill diagram-flight505
This Skill automates the creation of publication-quality technical diagrams from natural language prompts, reducing manual drafting time and ensuring professional visuals.
Use the diagram skill to generate a diagram from a natural language prompt, for example:
High-intent search queries and answers about installing and using this skill.
To generate an architecture diagram from a natural language prompt, you run the Python script and specify your text prompt alongside the desired output file name. The Skill parses your prompt to produce a publication-quality technical diagram automatically.
Yes, you can create a presentation-ready flowchart by specifying the document type as presentation. The generation process applies different visual quality standards based on the target document type to ensure professional results.
The AI quality review uses Gemini 3 Pro to evaluate generated technical diagrams for accuracy, clarity, and layout. It applies a smart iteration mechanism that only regenerates the diagram if the initial quality falls below a defined threshold.
Yes, you need OpenRouter API access configured in your Python environment using python-dotenv. The Skill relies on this external API access to parse your natural language prompts and produce the final diagrams.
You can create architecture diagrams, flowcharts, data-model visualizations, and infrastructure diagrams. These visualizations are suited for software engineering, architecture decisions, and technical documentation contexts.
The main limitation is the dependency on external API usage and the quality threshold set by the AI review. Complex prompts may require multiple iterations, consuming more API calls before reaching the desired publication-quality standard.
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