Skill · em Dados, IA e pesquisa
scientific-schematics
Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological…
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/skills/scientific/scientific-schematics - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 11 downloads no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
8 arquivos · 99,6 KB · inclui 4 scripts que executam: example_usage.sh, scripts/generate_schematic_ai.py, scripts/generate_schematic.py, test_ai_generation.py
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/skills/scientific-schematics/.
d=".claude/skills/scientific-schematics" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scientific-schematics" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/example_usage.sh" "$u/example_usage.sh" \ -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \ -o "$d/README.md" "$u/README.md" \ -o "$d/references/best_practices.md" "$u/references/best_practices.md" \ -o "$d/scripts/generate_schematic_ai.py" "$u/scripts/generate_schematic_ai.py" \ -o "$d/scripts/generate_schematic.py" "$u/scripts/generate_schematic.py" \ -o "$d/test_ai_generation.py" "$u/test_ai_generation.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/skills/scientific-schematics/.
d="$HOME/.claude/skills/scientific-schematics" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scientific-schematics" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/example_usage.sh" "$u/example_usage.sh" \ -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \ -o "$d/README.md" "$u/README.md" \ -o "$d/references/best_practices.md" "$u/references/best_practices.md" \ -o "$d/scripts/generate_schematic_ai.py" "$u/scripts/generate_schematic_ai.py" \ -o "$d/scripts/generate_schematic.py" "$u/scripts/generate_schematic.py" \ -o "$d/test_ai_generation.py" "$u/test_ai_generation.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: instala em .agents/skills/scientific-schematics/.
d=".agents/skills/scientific-schematics" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scientific-schematics" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/example_usage.sh" "$u/example_usage.sh" \ -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \ -o "$d/README.md" "$u/README.md" \ -o "$d/references/best_practices.md" "$u/references/best_practices.md" \ -o "$d/scripts/generate_schematic_ai.py" "$u/scripts/generate_schematic_ai.py" \ -o "$d/scripts/generate_schematic.py" "$u/scripts/generate_schematic.py" \ -o "$d/test_ai_generation.py" "$u/test_ai_generation.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.agents/skills/scientific-schematics/.
d="$HOME/.agents/skills/scientific-schematics" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scientific-schematics" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/example_usage.sh" "$u/example_usage.sh" \ -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \ -o "$d/README.md" "$u/README.md" \ -o "$d/references/best_practices.md" "$u/references/best_practices.md" \ -o "$d/scripts/generate_schematic_ai.py" "$u/scripts/generate_schematic_ai.py" \ -o "$d/scripts/generate_schematic.py" "$u/scripts/generate_schematic.py" \ -o "$d/test_ai_generation.py" "$u/test_ai_generation.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Antigravity
Neste projeto: instala em .agents/skills/scientific-schematics/.
d=".agents/skills/scientific-schematics" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scientific-schematics" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/example_usage.sh" "$u/example_usage.sh" \ -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \ -o "$d/README.md" "$u/README.md" \ -o "$d/references/best_practices.md" "$u/references/best_practices.md" \ -o "$d/scripts/generate_schematic_ai.py" "$u/scripts/generate_schematic_ai.py" \ -o "$d/scripts/generate_schematic.py" "$u/scripts/generate_schematic.py" \ -o "$d/test_ai_generation.py" "$u/test_ai_generation.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.gemini/antigravity-cli/skills/scientific-schematics/.
d="$HOME/.gemini/antigravity-cli/skills/scientific-schematics" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scientific-schematics" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/example_usage.sh" "$u/example_usage.sh" \ -o "$d/QUICK_REFERENCE.md" "$u/QUICK_REFERENCE.md" \ -o "$d/README.md" "$u/README.md" \ -o "$d/references/best_practices.md" "$u/references/best_practices.md" \ -o "$d/scripts/generate_schematic_ai.py" "$u/scripts/generate_schematic_ai.py" \ -o "$d/scripts/generate_schematic.py" "$u/scripts/generate_schematic.py" \ -o "$d/test_ai_generation.py" "$u/test_ai_generation.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Peça ao Rook
Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.scientific-schematics
Prévia do SKILL.md
---
name: scientific-schematics
description: "Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathway…
allowed-tools: [Read, Write, Edit, Bash]
---
# Scientific Schematics and Diagrams
## Overview
Scientific schematics and diagrams transform complex concepts into clear visual representations for publication. **This skill uses Nano Banana Pro AI for diagram generation with Gemini 3 Pro quality review.**
**How it works:**
- Describe your diagram in natural language
- Nano Banana Pro generates publication-quality images automatically
- **Gemini 3 Pro reviews quality** against document-type thresholds
- **Smart iteration**: Only regenerates if quality is below threshold
- Publication-ready output in minutes
- No coding, templates, or manual drawing required
**Quality Thresholds by Document Type:**
| Document Type | Threshold | Description |
|---------------|-----------|-------------|
| journal | 8.5/10 | Nature, Science, peer-reviewed journals |
| conference | 8.0/10 | Conference papers |
| thesis | 8.0/10 | Dissertations, theses |
| grant | 8.0/10 | Grant proposals |
| preprint | 7.5/10 | arXiv, bioRxiv, etc. |
| report | 7.5/10 | Technical reports |
| poster | 7.0/10 | Academic posters |
| presentation | 6.5/10 | Slides, talks |
| default | 7.5/10 | General purpose |
**Simply describe what you want, and Nano Banana Pro creates it.** All diagrams are stored in the figures/ subfolder and referenced in papers/posters.
## Quick Start: Generate Any Diagram
Create any scientific diagram by simply describing it. Nano Banana Pro handles everything automatically with **smart iteration**:
```bash
…