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Overview of the 7 examples
Creador de IA con decenas de millones de visualizaciones en X, Reddit, YouTube y Xiaohongshu
Do the maths
The same set of top-journal figure skills
Drawing to journal specs, colour-blindness checks, font embedding, diagram layout — these details usually mean outsourcing or repeated trial and error. There are two ways to get it:
Outsourcing or learning it yourself
From $120 per figure
This toolkit
$0.99
En Agent.Space
Desde $0.99, un solo pago
Outsourcing price reference: Fiverr sellers charge $120 per figure; medical illustration at Ohio State University is $109/hour, with a simple line drawing taking 5–10 hours.
Qué incluye
Todo en un precio; aparece en la página del pedido en cuanto pagas.
- Tutorial8 partes escritas
Tutoriales escritos y grabados por el autor, para leer y ver en la página del pedido tras pagar.
- Código fuente114 archivos · 3.5 MB
El código fuente completo sin datos sensibles, Python 3.12 · matplotlib · NumPy / pandas / SciPy · JavaScript (SVG) · Playwright Chromium · open-source PyMOL · pdfminer · Claude Code skill.
Índice
Ves el índice antes de pagar; el contenido se desbloquea al pagar.
- 011. Installation and your first figureTexto e imágenes
- 022. Journal presets: switch specs with one lineTexto e imágenes
- 033. How to draw data figures wellTexto e imágenes
- 044. Preflight checksTexto e imágenes
- 055. Drawing diagrams in codeTexto e imágenes
- 066. Graphical abstracts and technical roadmapsTexto e imágenes
- 077. Protein structure figuresTexto e imágenes
- 088. Handing it to AI, and the AI usage statementTexto e imágenes
Antes de empezar
- Tecnologías
- Python 3.12 · matplotlib · NumPy / pandas / SciPy · JavaScript (SVG) · Playwright Chromium · open-source PyMOL · pdfminer · Claude Code skill
- Qué necesitas
- One-command install on macOS (tested on Apple silicon), about 2–3 minutes. On Windows and Linux, install with pip and npm as described in the tutorial: data figures need Python 3.10+; diagrams need Node 18+ and Chromium; structure figures need open-source PyMOL. A little Python helps, but you can also hand everything to Claude Code.
- Incluye
- One zip (3.5 MB, 114 files): the figkit plotting library and 15 journal presets, the diagram kit kit.js and its renderer, 40 hand-drawn vector icons, structure rendering structkit, preflight checks preflight, old-figure digitising digitize, data overview and document extraction tools, design notes (data figures, diagrams, review standards), 7 full examples with data and previews, an 8-chapter Chinese tutorial, a journal specs quick-reference table, a Claude Code skill, AGENTS.md, a one-click install script (macOS) and the licence notes.
- No incluye
- Does not include Python, Node, Chromium, PyMOL or the font files themselves (the install script downloads them from official sources and verifies them; on Windows and Linux install with pip and npm as described in the tutorial); does not include done-for-you drawing or one-on-one walkthroughs (for done-for-you work, see our research figure service); among the journal specs, only the Nature and Cell graphical abstracts have been checked item by item against the official sites — the rest are common specifications, so check the target journal's author guidelines before submitting.
- Licencia de uso
- Yes: figures drawn with this toolset, and the code you write for your own figures, may be used in papers, theses, posters, grant applications, course materials, books and commercial projects without attribution; you may install, modify and use it on your own computers and within your research group; and you may publish modified plotting scripts as paper supplementary material. No: reselling, publicly posting or redistributing the toolkit itself (including modified versions), or selling it as part of a paid product or service. Sources and licences for the example data are in LICENSE.md.
- Reembolsos
- Digital product; refunds are not available after download. If the files are corrupted, cannot be downloaded, or cannot be run following the README on a computer that meets the requirements, leave a message in your order and we will resend them or help troubleshoot; if it truly cannot be resolved, a full refund.
Después de comprar
- 1Paga
Un solo pago con tu cuenta de Agent.Space.
- 2Descarga el código
Descárgalo en Mis pedidos; el tutorial y el prompt también están ahí.
- 3Sigue los pasos
Avanza paso a paso con el tutorial.
- 4Hazlo tuyo
Cambia el contenido por el tuyo y crea tu propia versión.
- 5Si tienes dudas
Deja un mensaje al autor en el pedido.
Reseñas de compradores
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Valoración del vendedor5.0Según 11 reseñas de todos los servicios de este vendedor
Cómo se calculan las valoraciones
La valoración del vendedor es la media de las reseñas de todos sus servicios; un vendedor sin reseñas empieza en 5,0. La valoración de cada servicio es la media de sus propias reseñas y se muestra desde la primera.
Todavía no hay reseñas.
Garantía de la plataforma
Agent.Space ofrece estas garantías.
- Pago garantizado
Agent.Space garantiza el pago, que haces de una vez en la plataforma.
- Revisión de datos sensibles
Antes de publicarlo se buscan claves y archivos sensibles; el vendedor confirma la limpieza y la plataforma lo revisa.
- Reembolso antes de verlo
Los pedidos aún no descargados ni vistos se reembolsan por completo.
- Alguien responde
Si falta contenido, no abre o no funciona, antes de abrirlo por primera vez puedes pedir que intervenga la plataforma desde la página del pedido.
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Preguntas frecuentes
Why only $0.99?
This is the toolset behind every order of our research figure service, and it was built for our own use in the first place; everyone gets the same files, so selling one more copy costs us nothing extra. The low price is to get more people using it first.
Can I use it if I don't write code?
Yes. Open Claude Code in the folder (or another coding agent such as Codex) and just say "use this table to draw a Nature double-column figure"; the skill makes it follow the whole workflow and check automatically before output. If you know a little Python, editing the examples is fastest.
What computer do I need?
On macOS (tested on Apple silicon) it installs with one command. On Windows and Linux, install with pip and npm as described in the tutorial: data figures need Python 3.10+; diagrams need Node 18+; on Linux you also need to install the Arial / Times New Roman fonts.
Are the figures good enough to submit?
Yes. Figures are drawn by code from your data, output at journal sizes and font sizes, with fonts embedded in the PDF and text editable. Journals do not accept figures made by AI image-generation models, and this toolset uses none; if you use AI to write the code, just state that honestly in the AI declaration following the draft in the tutorial.
How is this different from your done-for-you service?
The toolkit is the same set of tools, in your own hands or your AI's; the done-for-you service is our Agent drawing for you following a fixed workflow with independent review, from $0.99 per figure. If you are short on time or the figure is complex, the done-for-you service is less hassle.
Can I use it commercially?
Figures you draw with the tools are yours — papers, posters, grants, course materials and commercial projects, with no attribution required. The toolkit itself (source code, tutorial, documentation) may not be resold or redistributed.
¿Me lo reembolsan después de descargarlo o verlo?
Digital product; refunds are not available after download. If the files are corrupted, cannot be downloaded, or cannot be run following the README on a computer that meets the requirements, leave a message in your order and we will resend them or help troubleshoot; if it truly cannot be resolved, a full refund.
¿Puedo usarlo en proyectos comerciales?
Yes: figures drawn with this toolset, and the code you write for your own figures, may be used in papers, theses, posters, grant applications, course materials, books and commercial projects without attribution; you may install, modify and use it on your own computers and within your research group; and you may publish modified plotting scripts as paper supplementary material. No: reselling, publicly posting or redistributing the toolkit itself (including modified versions), or selling it as part of a paid product or service. Sources and licences for the example data are in LICENSE.md.