Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Cell (Cell Press) figure preparation: resolution (300-1000 DPI), formats (TIFF/PDF), RGB color, Avenir/Arial fonts, uppercase panel labels, strict image manipulation policies.
$ npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills cell-figure-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "cell-figure-guide" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/scientific-writing/cell-figure-guide into .claude/skills/cell-figure-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cell-figure-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/scientific-writing/cell-figure-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills cell-figure-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/scientific-writing/cell-figure-guide .agents/skills/cell-figure-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cell-figure-guide" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/scientific-writing/cell-figure-guide into .agents/skills/cell-figure-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cell-figure-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills cell-figure-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/scientific-writing/cell-figure-guide .cursor/skills/cell-figure-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cell-figure-guide" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/scientific-writing/cell-figure-guide into .cursor/skills/cell-figure-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cell-figure-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jaechang-hits/SciAgent-Skills.git --path skills/scientific-writing/cell-figure-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills cell-figure-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/scientific-writing/cell-figure-guide .gemini/skills/cell-figure-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cell-figure-guide" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/scientific-writing/cell-figure-guide into .gemini/skills/cell-figure-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cell-figure-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jaechang-hits/SciAgent-Skills cell-figure-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/scientific-writing/cell-figure-guide .github/skills/cell-figure-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cell-figure-guide" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/scientific-writing/cell-figure-guide into .github/skills/cell-figure-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cell-figure-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jaechang-hits/SciAgent-Skills --skill cell-figure-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jaechang-hits/SciAgent-Skills cell-figure-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jaechang-hits/SciAgent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/scientific-writing/cell-figure-guide .opencode/skills/cell-figure-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cell-figure-guide" agent skill from https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/scientific-writing/cell-figure-guide into .opencode/skills/cell-figure-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cell-figure-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cell-figure-guideCell (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.
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.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 82c862c. It shows what the files ask for, not the result of running them.
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.
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.
Links to these hosts (documentation or services it may open):
cell.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Python 3.10+, Pillow, Matplotlib
From compatibility in the SKILL.md frontmatter.
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.
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.
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.
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.
.claude/skills/cell-figure-guide/SKILL.md (or your agent's skills folder).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
| Image Type | Minimum Resolution | Notes |
|---|---|---|
| Color / Grayscale photographs | 300 DPI | At desired print size |
| Black-and-white images | 500 DPI | At desired print size |
| Line art (graphs, diagrams) | 1,000 DPI | At desired print size |
IMPORTANT: All resolution measurements are at the desired print size, not at full-page size.
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| Format | Best For | Notes |
|---|---|---|
| TIFF | Bitmap, grayscale, color images | Use LZW compression to reduce size |
| Any figure type | Universally accepted | |
| EPS | Vector images (graphs, diagrams) | Preserves scalability |
| Layout | Width |
|---|---|
| 1 column | 85 mm (3.35 in) |
| 1.5 columns | 114 mm (4.49 in) |
| Full width | 174 mm (6.85 in) |
| Layout | Width |
|---|---|
| 1 column | 55 mm (2.17 in) |
| 2 columns | 114 mm (4.49 in) |
| Full width | 174 mm (6.85 in) |
| Layout | Width |
|---|---|
| 1 column | 112 mm (4.41 in) |
| Full width | 172 mm (6.77 in) |
All figures must fit on a single 8.5" x 11" page.
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, axfrom 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| Element | Font | Size |
|---|---|---|
| Primary font | Avenir (preferred), Arial, Helvetica | — |
| Figure text | — | ~7 pt at print size |
| Panel labels | — | Bold, capital letters |
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,
})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')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) == 0Cell 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 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.
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.
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)| Scenario | Format | Resolution | Width |
|---|---|---|---|
| Fluorescence micrograph | TIFF (LZW) | 300 DPI | Journal-specific column |
| Western blot | TIFF | 500 DPI | Single column (85 mm) |
| Bar chart or scatter plot | PDF or EPS | 1,000 DPI (if rasterized) | Varies by data density |
| Gel electrophoresis | TIFF | 500 DPI | Full width if multi-lane |
| Pathway diagram | PDF or EPS | Vector | Full width (174 mm) |
Before submitting figures to Cell, verify:
© 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
Just SKILL.md in skills/scientific-writing/cell-figure-guide of jaechang-hits/SciAgent-Skills.
Open the folder on GitHubat commit 82c862c
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.
Cell Figure Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cell Figure Guide this skilljaechang-hits/SciAgent-Skills | 374 | 1 repos | ~3.6k | Automated safety check: Pass | CC-BY-4.0 | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Scientific Venue Templatesdavila7/claude-code-templates | 33k | 9 repos | ~5.1k | Automated safety check: Notes | MIT | |
| Econ Writehanlulong/econ-writing-skill | 651 | 2 repos | ~14k | Automated safety check: Pass | MIT | |
| NSFC Grant Rationale Writerhuangwb8/ChineseResearchLaTeX | 2.9k | — | ~945 | Automated safety check: Pass | MIT | |
| Academic Integrity Rewritelin1111-1/academic-integrity-rewrite | 102 | — | ~1.1k | Automated safety check: Pass | MIT |
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
davila7/claude-code-templates
Supplies LaTeX templates and formatting rules for journals, conferences, posters, and grant proposals, then can check a draft against them.
hanlulong/econ-writing-skill
Expert economics paper writing assistant synthesizing advice from 50+ top guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Glaeser, Kremer, and other leading economists.
huangwb8/ChineseResearchLaTeX
Writes, restructures, reviews and polishes the rationale section of NSFC research grant applications in LaTeX, with backups and a diff before every write.
lin1111-1/academic-integrity-rewrite
Revise Chinese or English academic writing for lower unnecessary textual overlap while preserving meaning, evidence, numbers, equations, terminology, and citations.
Ar9av/PaperOrchestra
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines…
jaechang-hits/SciAgent-Skills
NEB-IRC activation energy pipeline for reaction barriers using GFN2-xTB and pysisyphus.
jaechang-hits/SciAgent-Skills
3Dmol.js WebGL molecular visualization emitted as self-contained HTML.
jaechang-hits/SciAgent-Skills
Constraint-based (COBRA) analysis of genome-scale metabolic models: FBA, FVA, knockouts, flux sampling, production envelopes, gapfilling, media optimization.
jaechang-hits/SciAgent-Skills
Read, write, and edit ChemDraw CDX/CDXML files with RDKit's rdkit.Chem.rdChemDraw plus direct XML editing, always paired with a rendered PNG.
jaechang-hits/SciAgent-Skills
Programmatic PubMed access via NCBI E-utilities REST API. An agent skill from jaechang-hits/SciAgent-Skills.
jaechang-hits/SciAgent-Skills
Scaffold a new SciAgent-Skills entry. An agent skill from jaechang-hits/SciAgent-Skills.
Categories
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.
Cell Figure Guide fits situations like: tasks that involve Scientific writing.
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.
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.
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.
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.
SKILL.md names 1 domain. As links in the text: cell.com. This is read from the text; nothing was executed.
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.
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.
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.
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.
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.