Agent skill

Cell Figure Guide

by jaechang-hits in jaechang-hits/SciAgent-Skills

Cell (Cell Press) figure preparation: resolution (300-1000 DPI), formats (TIFF/PDF), RGB color, Avenir/Arial fonts, uppercase panel labels, strict image manipulation policies.

CC-BY-4.0Auto-check passedResearch & Science

Install Cell Figure Guide

skills CLI
$ npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jaechang-hits/SciAgent-Skills cell-figure-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scientific-writing/cell-figure-guide .claude/skills/cell-figure-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cell-figure-guide
GitHub stars
374
Used in
1 other repo
Token cost
~3.6k tokens
SKILL.md length
1,195 words
Files
1
Skills in repo
169
Repo updated
First seen
Licence
CC-BY-4.0

At a glance

Cell (Cell Press) figure preparation: resolution (300-1000 DPI), formats (TIFF/PDF), RGB color, Avenir/Arial fonts, uppercase panel labels, strict image manipulation policies.

  • Works in 7 steps: Use LZW compression for TIFF files: Cell… → Remove titles from figures: Cell Press… → Use Avenir as primary font: While Arial… → …
  • Tasks that involve Scientific writing
  • SKILL.md covers Overview, Resolution Requirements, File Format and Figure Size and Dimensions, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cell Figure Guide is an agent skill from jaechang-hits/SciAgent-Skills. Cell (Cell Press) figure preparation: resolution (300-1000 DPI), formats (TIFF/PDF), RGB color, Avenir/Arial fonts, uppercase panel labels, strict image manipulation policies.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Python 3.10+, Pillow, Matplotlib

It sits in Research & Science, covering Scientific writing. The repository describes itself as: 197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon. The licence is CC-BY-4.0.

When your agent uses it

  • Tasks that involve Scientific writing

Example prompts

  • “/cell-figure-guide”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Python 3.10+, Pillow, Matplotlib

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Use LZW compression for TIFF files: Cell accepts TIFF with LZW compression, which significantly reduces file size without quality loss…
  2. Remove titles from figures: Cell Press requires that figure titles appear only in captions, not inside the figure itself. Remove any…
  3. Use Avenir as primary font: While Arial and Helvetica are accepted, Avenir is Cell Press's preferred font. Using it signals familiarity…
  4. Embed all fonts in AI files: Adobe Illustrator files must have fonts fully embedded. Missing fonts cause rendering errors during production
  5. Disclose all gel image modifications: Removed lanes must be clearly marked in the figure and described in the legend. Undisclosed…
  6. Match resolution to image type: Do not use 300 DPI for line art (needs 1,000) or 1,000 DPI for photographs (wastes file size). Match the…
  7. Keep original unprocessed data: Cell Press may request raw data during review or post-publication. Archive all originals alongside…

What it can do on your machine

Read from SKILL.md and the folder at commit 82c862c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • cell.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Python 3.10+, Pillow, Matplotlib

    From compatibility in the SKILL.md frontmatter.

Context cost

Cell Figure Guide loads about 3.6k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 1,195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jaechang-hits/SciAgent-Skills at commit 82c862c, republished under its CC-BY-4.0 licence (© jaechang-hits). 1,195 words, ~3,616 tokens.

Download SKILL.mdSave it as .claude/skills/cell-figure-guide/SKILL.md (or your agent's skills folder).
name
cell-figure-guide
description
Cell (Cell Press) figure preparation: resolution (300-1000 DPI), formats (TIFF/PDF), RGB color, Avenir/Arial fonts, uppercase panel labels, strict image manipulation policies.
compatibility
Python 3.10+, Pillow, Matplotlib
license
CC-BY-4.0
metadata.authors
HITS
metadata.version
1.0

Cell Figure Preparation Guide

Overview

This guide provides the complete specifications for preparing figures for submission to Cell and other Cell Press journals (e.g., Cell Stem Cell, Cell Reports, Molecular Cell). Cell Press has strict figure requirements and a rigorous image integrity policy.

Official reference: https://www.cell.com/information-for-authors/figure-guidelines


Resolution Requirements

Image TypeMinimum ResolutionNotes
Color / Grayscale photographs300 DPIAt desired print size
Black-and-white images500 DPIAt desired print size
Line art (graphs, diagrams)1,000 DPIAt desired print size

IMPORTANT: All resolution measurements are at the desired print size, not at full-page size.

Verify Resolution
python
from PIL import Image

def check_cell_resolution(image_path, image_type='color'):
    """Check if image meets Cell journal resolution requirements.

    Args:
        image_path: Path to the image file
        image_type: 'color' (300 DPI), 'bw' (500 DPI), or 'lineart' (1000 DPI)
    """
    min_dpi = {'color': 300, 'bw': 500, 'lineart': 1000}
    required = min_dpi.get(image_type, 300)

    img = Image.open(image_path)
    dpi = img.info.get('dpi', (72, 72))

    print(f"Image type: {image_type}")
    print(f"Required DPI: {required}")
    print(f"Actual DPI: {dpi[0]} x {dpi[1]}")

    if dpi[0] >= required:
        print("PASS: Resolution meets Cell requirements")
    else:
        print(f"FAIL: Need at least {required} DPI, got {dpi[0]}")

    return dpi[0] >= required

File Format

Preferred Formats
FormatBest ForNotes
TIFFBitmap, grayscale, color imagesUse LZW compression to reduce size
PDFAny figure typeUniversally accepted
EPSVector images (graphs, diagrams)Preserves scalability
Also Accepted
  • JPEG, CDX files
File Size
  • Individual files: 20 MB maximum
Submission Notes
  • Initial submission: Figures can be embedded in manuscript or uploaded separately
  • Final production: Separate high-resolution files required

Figure Size and Dimensions

2-Column Format Journals (Cell, Molecular Cell, etc.)
LayoutWidth
1 column85 mm (3.35 in)
1.5 columns114 mm (4.49 in)
Full width174 mm (6.85 in)
3-Column Format Journals
LayoutWidth
1 column55 mm (2.17 in)
2 columns114 mm (4.49 in)
Full width174 mm (6.85 in)
Other Cell Press Journals (Chem, Joule, Matter, etc.)
LayoutWidth
1 column112 mm (4.41 in)
Full width172 mm (6.77 in)

All figures must fit on a single 8.5" x 11" page.

Python: Set Cell Figure Dimensions
python
import matplotlib.pyplot as plt

# Cell Press figure widths in inches
CELL_WIDTHS = {
    '2col_single':   85 / 25.4,   # 3.35 in
    '2col_1.5':      114 / 25.4,  # 4.49 in
    '2col_full':     174 / 25.4,  # 6.85 in
    '3col_single':   55 / 25.4,   # 2.17 in
    '3col_double':   114 / 25.4,  # 4.49 in
    '3col_full':     174 / 25.4,  # 6.85 in
}

def create_cell_figure(layout='2col_single', aspect_ratio=0.75):
    """Create a Matplotlib figure sized for Cell Press journals."""
    width = CELL_WIDTHS[layout]
    height = width * aspect_ratio

    fig, ax = plt.subplots(figsize=(width, height))
    fig.set_dpi(300)

    return fig, ax

Color Mode

  • Submit in RGB color space
  • Journal converts to CMYK for print production
  • RGB preserves brighter colors for online viewing
python
from PIL import Image

def convert_to_rgb_for_cell(image_path, output_path):
    """Convert image to RGB for Cell Press submission."""
    img = Image.open(image_path)
    if img.mode == 'CMYK':
        img = img.convert('RGB')
        print("Converted from CMYK to RGB")
    elif img.mode != 'RGB':
        img = img.convert('RGB')
        print(f"Converted from {img.mode} to RGB")
    img.save(output_path)
    return output_path

Font Requirements

ElementFontSize
Primary fontAvenir (preferred), Arial, Helvetica—
Figure text—~7 pt at print size
Panel labels—Bold, capital letters
Critical Rules
  • All fonts must be embedded in Adobe Illustrator files
  • Use Avenir as the first choice; Arial or Helvetica as alternatives
  • Consistent font usage across all figure panels
python
import matplotlib.pyplot as plt

def set_cell_fonts():
    """Configure Matplotlib for Cell Press figure fonts."""
    plt.rcParams.update({
        'font.family': 'sans-serif',
        'font.sans-serif': ['Avenir', 'Arial', 'Helvetica'],
        'font.size': 7,
        'axes.labelsize': 7,
        'axes.titlesize': 7,
        'xtick.labelsize': 6,
        'ytick.labelsize': 6,
        'legend.fontsize': 6,
    })

Labeling Conventions

Panel Labels
  • Capital letters: A, B, C, D, ...
  • Bold weight
  • Position: top-left corner of each panel
Titles
  • Do NOT place titles inside figures — include them in the figure caption instead
  • Remove any labels not essential for understanding the figure; explain in caption
python
import matplotlib.pyplot as plt
import string

def add_cell_panel_labels(fig, axes):
    """Add Cell-style uppercase bold panel labels."""
    if not hasattr(axes, '__iter__'):
        axes = [axes]

    for i, ax in enumerate(axes):
        label = string.ascii_uppercase[i]
        ax.text(-0.1, 1.1, label,
                transform=ax.transAxes,
                fontsize=8,
                fontweight='bold',
                va='top',
                ha='right',
                fontfamily='Arial')

Image Integrity and Manipulation Policy

STRICTLY PROHIBITED
  • Photoshop clone/heal tool usage on scientific images
  • Selective enhancement or alteration of any part of an image
  • Splicing images from different experiments without clear indication
  • Touching up gel/blot images to hide or alter data
PERMITTED (with full disclosure)
  • Brightness, contrast, and color adjustments applied uniformly to the entire image
  • Minimal image processing for microscopy (must be described in Methods)
REQUIRED
  • Single color channel alterations must be explained in both legend and Methods
  • Gel images: removed lanes must be clearly marked and alterations noted in legend
  • Original unprocessed data must be available upon editor/reviewer request
  • All processing steps must be transparently described

Python Quick Start: Full Validation

python
from PIL import Image
import os

def validate_cell_figure(image_path, image_type='color', layout='2col_single'):
    """Full validation of a figure against Cell Press requirements."""
    img = Image.open(image_path)
    issues = []

    # 1. Resolution check
    min_dpi = {'color': 300, 'bw': 500, 'lineart': 1000}
    required_dpi = min_dpi.get(image_type, 300)
    dpi = img.info.get('dpi', (72, 72))
    if dpi[0] < required_dpi:
        issues.append(f"Resolution {dpi[0]} DPI below minimum {required_dpi} DPI for {image_type}")

    # 2. Color mode check
    if img.mode != 'RGB':
        issues.append(f"Color mode is {img.mode}; Cell requires RGB submission")

    # 3. File size check
    size_mb = os.path.getsize(image_path) / (1024 * 1024)
    if size_mb > 20:
        issues.append(f"File size {size_mb:.1f} MB exceeds 20 MB limit")

    # 4. Dimension check (width in mm)
    widths_mm = {
        '2col_single': 85, '2col_1.5': 114, '2col_full': 174,
        '3col_single': 55, '3col_double': 114, '3col_full': 174,
    }
    if layout in widths_mm and dpi[0] > 0:
        max_width_mm = widths_mm[layout]
        actual_width_mm = (img.size[0] / dpi[0]) * 25.4
        print(f"Width at current DPI: {actual_width_mm:.1f} mm (target: {max_width_mm} mm)")

    # Report
    print(f"=== Cell Figure Validation: {os.path.basename(image_path)} ===")
    print(f"Dimensions: {img.size[0]} x {img.size[1]} px")
    print(f"DPI: {dpi[0]} x {dpi[1]}")
    print(f"Color mode: {img.mode}")
    print(f"File size: {size_mb:.1f} MB")

    if issues:
        print(f"\nISSUES FOUND ({len(issues)}):")
        for issue in issues:
            print(f"  - {issue}")
    else:
        print("\nAll checks PASSED")

    return len(issues) == 0

Key Concepts

Resolution Tiers by Image Type

Cell Press uses a three-tier resolution system: 300 DPI for color/grayscale photographs, 500 DPI for black-and-white images, and 1,000 DPI for line art. All measurements are at the desired print size, not at arbitrary large dimensions. This tiered approach ensures each image type reproduces at appropriate quality.

Cell Press Column System

Cell Press journals use different column layouts depending on the journal. Two-column journals (Cell, Molecular Cell) use 85/114/174 mm widths. Three-column journals use 55/114/174 mm. Other journals (Chem, Joule) use 112/172 mm. Sizing figures to the correct column width prevents unwanted rescaling.

Image Manipulation Policy

Cell Press enforces one of the strictest image integrity policies in biomedical publishing. The use of Photoshop clone/heal tools on scientific images is explicitly prohibited. Any single-channel color alterations must be disclosed in both the figure legend and Methods section.

Decision Framework

What type of image are you preparing?
├── Color or grayscale photograph → 300 DPI minimum
│   ├── Micrograph → TIFF (LZW compression)
│   └── Clinical image → TIFF or PDF
├── Black-and-white image → 500 DPI minimum
│   └── High-contrast micrograph → TIFF
├── Line art (graph, diagram) → 1,000 DPI minimum
│   ├── Vector source → Export as PDF or EPS
│   └── Raster source → Export TIFF at 1,000 DPI
└── Which journal layout?
    ├── Cell, Molecular Cell → 2-column (85/114/174 mm)
    ├── Cell Reports → 3-column (55/114/174 mm)
    └── Chem, Joule, Matter → Single/full (112/172 mm)
ScenarioFormatResolutionWidth
Fluorescence micrographTIFF (LZW)300 DPIJournal-specific column
Western blotTIFF500 DPISingle column (85 mm)
Bar chart or scatter plotPDF or EPS1,000 DPI (if rasterized)Varies by data density
Gel electrophoresisTIFF500 DPIFull width if multi-lane
Pathway diagramPDF or EPSVectorFull width (174 mm)
Show full SKILL.md (513 more words)Show less

Best Practices

  1. Use LZW compression for TIFF files: Cell accepts TIFF with LZW compression, which significantly reduces file size without quality loss. This helps stay under the 20 MB limit
  2. Remove titles from figures: Cell Press requires that figure titles appear only in captions, not inside the figure itself. Remove any embedded titles before submission
  3. Use Avenir as primary font: While Arial and Helvetica are accepted, Avenir is Cell Press's preferred font. Using it signals familiarity with journal conventions
  4. Embed all fonts in AI files: Adobe Illustrator files must have fonts fully embedded. Missing fonts cause rendering errors during production
  5. Disclose all gel image modifications: Removed lanes must be clearly marked in the figure and described in the legend. Undisclosed modifications are grounds for rejection
  6. Match resolution to image type: Do not use 300 DPI for line art (needs 1,000) or 1,000 DPI for photographs (wastes file size). Match the resolution tier to the content type
  7. Keep original unprocessed data: Cell Press may request raw data during review or post-publication. Archive all originals alongside processed versions

Common Pitfalls

  1. Applying 300 DPI to all image types: Line art requires 1,000 DPI; black-and-white images require 500 DPI. Using 300 DPI for these types produces jagged edges
    • How to avoid: Check the three-tier resolution table and match your image type before export
  2. Using clone/heal tools on scientific images: Cell Press explicitly prohibits Photoshop clone and heal tool usage on scientific data
    • How to avoid: Use only uniform brightness/contrast adjustments on the entire image; document all processing in Methods
  3. Placing titles inside figures: Cell Press requires all titles in the caption, not embedded in the figure
    • How to avoid: Review each figure panel and remove any text that belongs in the caption
  4. Exceeding 20 MB file size: Uncompressed TIFF files frequently exceed the limit
    • How to avoid: Apply LZW compression when saving TIFF files; check file size before upload
  5. Incorrect column width for journal: Using 2-column widths for a 3-column journal (or vice versa) causes figures to be rescaled
    • How to avoid: Verify which Cell Press journal you are targeting and use the correct column width table
  6. Not disclosing single-channel color adjustments: Altering individual color channels without disclosure violates Cell Press policy
    • How to avoid: Document any single-channel modifications in both the figure legend and Methods section

Pre-Submission Checklist

Before submitting figures to Cell, verify:

  • Color/grayscale images at 300+ DPI
  • Black-and-white images at 500+ DPI
  • Line art at 1,000+ DPI
  • File format is TIFF (LZW), PDF, or EPS
  • Each file under 20 MB
  • Color mode is RGB
  • Font is Avenir, Arial, or Helvetica at ~7 pt
  • Panel labels are uppercase bold (A, B, C)
  • No titles inside figures (use captions)
  • All fonts embedded in AI files
  • No clone/heal tool usage on scientific images
  • All brightness/contrast adjustments applied to entire image
  • Gel lane removals clearly marked in legend
  • Processing details described in Methods
  • Original unprocessed data retained

References

© jaechang-hits, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/scientific-writing/cell-figure-guide of jaechang-hits/SciAgent-Skills.

Open the folder on GitHubat commit 82c862c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in jaechang-hits/SciAgent-Skills, which our catalogue first saw on October 7, 2026.

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Questions about Cell Figure Guide

What does Cell Figure Guide do?

Cell (Cell Press) figure preparation: resolution (300-1000 DPI), formats (TIFF/PDF), RGB color, Avenir/Arial fonts, uppercase panel labels, strict image manipulation policies. Cell Figure Guide is an agent skill from jaechang-hits/SciAgent-Skills. Cell (Cell Press) figure preparation: resolution (300-1000 DPI), formats (TIFF/PDF), RGB color, Avenir/Arial fonts, uppercase panel labels, strict image manipulation policies.

When should I use Cell Figure Guide?

Cell Figure Guide fits situations like: tasks that involve Scientific writing.

How do I install Cell Figure Guide in Claude Code?

Run `npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a claude-code`. Or copy the skill folder (skills/scientific-writing/cell-figure-guide in jaechang-hits/SciAgent-Skills) into .claude/skills/cell-figure-guide in your project. Claude Code loads it when a task matches its description.

How do I install Cell Figure Guide in Codex?

Run `npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a codex`. Or copy the skill folder (skills/scientific-writing/cell-figure-guide in jaechang-hits/SciAgent-Skills) into .agents/skills/cell-figure-guide in your project. Codex loads it when a task matches its description.

Can I use Cell Figure Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cell-figure-guide, .gemini/skills/cell-figure-guide, .github/skills/cell-figure-guide and .opencode/skills/cell-figure-guide in your project.

What does Cell Figure Guide need to run?

SKILL.md names no scripts, command-line tools or credentials: Cell Figure Guide is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Python 3.10+, Pillow, Matplotlib.

Does Cell Figure Guide access the network?

SKILL.md names 1 domain. As links in the text: cell.com. This is read from the text; nothing was executed.

Is Cell Figure Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cell Figure Guide use?

Cell Figure Guide is published under the CC-BY-4.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cell Figure Guide use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cell Figure Guide?

Skills that share tags, products or a category with Cell Figure Guide: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Scientific Venue Templates (davila7/claude-code-templates, 33k stars), Econ Write (hanlulong/econ-writing-skill, 651 stars) and NSFC Grant Rationale Writer (huangwb8/ChineseResearchLaTeX, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cell Figure Guide?

jaechang-hits (a GitHub user) maintains it in jaechang-hits/SciAgent-Skills, which has 374 GitHub stars. The repository holds 169 skills in this directory. The repository was last updated on September 29, 2026.

Source: jaechang-hits/SciAgent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.