Scientific Schematics skill: what it does and how to install it
Creates publication-quality scientific diagrams with Nano Banana 2, then reviews and selectively refines them with Gemini 3.6 Flash for the intended document type.
Summary generated from the skill's documentation.
Install
$ npx skills add K-Dense-AI/scientific-agent-skills --skill scientific-schematicsRun it in a terminal. If your agent is already running, start a new session so it picks the skill up.
About this skill
What it does. Generates PNG schematics from natural-language descriptions using Nano Banana 2, then sends each image to Gemini 3.6 Flash for quality scoring and regenerates only when it misses the threshold. A Python command supports document-type thresholds, versioned outputs and review logs.
When to use it. For neural-network architectures, flowcharts, biological pathways, system diagrams, circuits and other scientific figures. It does not produce vector files or control DPI, so print conversion and visual checking remain downstream.
History
Repo stars
47.3kAbout +18.6k since 9 Jul 2026
Before 1 Oct 2026 the curve is estimated from public event data.
Stars are counted for the whole repository, which holds 50 skills.
Show as a table
| Date | Repo stars |
|---|---|
| 1 Oct 2026 | 47,271 |
| 24 Sept 2026 (estimated) | 46,976 |
| 17 Sept 2026 (estimated) | 46,257 |
| 10 Sept 2026 (estimated) | 41,836 |
| 3 Sept 2026 (estimated) | 30,545 |
| 27 Aug 2026 (estimated) | 29,347 |
| 20 Aug 2026 (estimated) | 29,160 |
| 13 Aug 2026 (estimated) | 29,027 |
| 6 Aug 2026 (estimated) | 28,947 |
| 30 Jul 2026 (estimated) | 28,894 |
| 23 Jul 2026 (estimated) | 28,894 |
| 16 Jul 2026 (estimated) | 28,841 |
| 9 Jul 2026 (estimated) | 28,708 |
Installs
1.9k
Tracking since . A chart appears once there are 7 days of data.
Installs via skills.sh
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