A skill your agent uses to finalize Molecular Cell display items — column-width sizing, minimum fonts, RGB, show-the-data with defined error bars/n/replicate type, gel/blot and structural-figure…

MITAuto-check passedResearch & Science

Install Molcell Figures

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill molcell-figures -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills molcell-figures --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Molecular-Cell-Skills/skills/molcell-figures .claude/skills/molcell-figures && 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
molcell-figures
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
635 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses to finalize Molecular Cell display items — column-width sizing, minimum fonts, RGB, show-the-data with defined error bars/n/replicate type, gel/blot and structural-figure…

  • Finalize Molecular Cell display items — column-width sizing
  • SKILL.md covers When to trigger, Sizing for Cell Press columns, Show the mechanism's data, not… and Molecular-biology figure…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Show-the-data with defined error bars/n/replicate type

What it does

Molcell Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use to finalize Molecular Cell display items — column-width sizing, minimum fonts, RGB, show-the-data with defined error bars/n/replicate type, gel/blot and structural-figure integrity, colorblind-safe palettes, multi-panel discipline, and stand-alone legends built for a mechanism proof.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Finalize Molecular Cell display items — column-width sizing
  • Show-the-data with defined error bars/n/replicate type
  • Gel/blot and structural-figure integrity
  • Colorblind-safe palettes

Example prompts

  • “/molcell-figures”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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.

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

  • Network

    No URLs in SKILL.md.

    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.

Context cost

Molcell Figures loads about 1.4k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 635 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 635 words, ~1,372 tokens.

Download SKILL.mdSave it as .claude/skills/molcell-figures/SKILL.md (or your agent's skills folder).
name
molcell-figures
description
Use to finalize Molecular Cell display items — column-width sizing, minimum fonts, RGB, show-the-data with defined error bars/n/replicate type, gel/blot and structural-figure integrity, colorblind-safe palettes, multi-panel discipline, and stand-alone legends built for a mechanism proof.

Display Items (molcell-figures)

When to trigger

  • Figures will not render legibly at Cell Press print widths.
  • Bar charts hide the data (no points, no n, no defined error bars) behind a mechanistic claim.
  • Gels/blots are cropped without disclosure; structural figures over-render the model.
  • Color is the sole encoding, or rainbow/jet maps are used for continuous data.

Sizing for Cell Press columns

Design figures to render at final print width without rescaling text:

  • 1 column ≈ 85 mm wide
  • 1.5 column ≈ 114 mm wide
  • 2 columns (full width) ≈ 174 mm wide
  • Minimum font in the final figure: ~6–7 pt sans-serif (Helvetica/Arial), legible after reduction.
  • RGB color mode (Cell Press is online-first); line weights heavy enough to survive reduction.

Confirm exact widths, resolution, and file formats against the current Cell Press figure/digital-image guidelines.

Show the mechanism's data, not just a summary

  • Replace bar-of-means with dot plots / box+points / violins+points, especially for small n.
  • State n and what n is in every legend: independent biological replicates? technical replicates? molecules? cells?
  • Error bars must be defined (SD vs SEM vs 95% CI) — never undefined — and the replicate type stated.
  • For a mechanistic claim, pair the quantification with the primary data (the gel, the trace, the density map) in the same or an adjacent panel.

Molecular-biology figure integrity (non-negotiable)

  • Gels/blots: show representative full lanes; disclose any splicing with a clear dividing line; present uncropped key blots in Supplemental; keep unprocessed scans.
  • Quantitative comparisons must come from the same gel/exposure/experiment.
  • Structures (cryo-EM/X-ray): report resolution, map-to-model fit, and the region actually resolved; do not draw side chains or interactions the density does not support. Include a validation/FSC or Ramachandran summary per Cell Press/PDB norms.
  • Genomics tracks (ChIP/RNA/ATAC-seq): state normalization, show replicates or a replicate-correlation metric, and give the genomic scale.
  • Single-molecule / kinetics: show example traces and the distribution, not only a fitted rate.

Color and accessibility

  • Use a colorblind-safe palette; avoid red/green as the only contrast (common in merge micrographs).
  • Do not encode meaning by color alone — add shape/pattern/labels.
  • No rainbow/jet colormaps for continuous data — use perceptually uniform maps (viridis, etc.); for structures, use consistent domain/chain coloring.
  • Check the figure in grayscale.

Multi-panel discipline

  • Group panels by the mechanistic step they prove; one message per figure.
  • Consistent axis scales across comparable panels; align structure orientations across panels.
  • Label panels A, B, C…; the legend title states the figure's mechanistic claim.
  • Move orthogonal-confirmation panels to Supplemental rather than shrinking fonts.
Show full SKILL.md (235 more words)Show less

Figure legend structure (stand-alone)

Each legend: a short title sentence (the mechanistic claim), then per-panel descriptions (A, B, C…), then statistics (test, exact n, replicate type, error-bar definition, P values or exact values), plus any structure/genomics metadata (resolution, normalization). The figure + legend must be interpretable without the main text; cross-reference STAR Methods where relevant.

What a Molecular Cell referee checks in figures

Referees interrogate the proof of mechanism, so they read figures for evidence sufficiency. Common figure-driven major-revision triggers: a mechanistic claim resting on one assay with no orthogonal confirmation; a point-mutant panel missing the wild-type-rescue control; a structure figure asserting an interaction the density cannot resolve; bar-of-means hiding n = 3 with wide spread; genomics tracks with no replicate metric; error bars whose definition or n is missing; and any blot spliced without a disclosed boundary. Pre-empt each: pair every key claim with a second method, show the points and the primary data, and keep uncropped scans and half-maps ready — Molecular Cell may request them.

Output format

【Item count】 N (standard Article ≤ ~7 main) → ok / over → move to Supplemental
【Sizing】 designed at 85 / 114 / 174 mm? fonts ≥6–7 pt? RGB? yes/no
【Data shown】 points + n + replicate type + defined error bars + primary data? yes/no
【Blot/structure/genomics integrity】 uncropped blots? resolution/fit stated? replicate metric? yes/no
【Colorblind-safe】 yes/no (palette used)
【Legends】 title + per-panel + stats, stand-alone? yes/no
【Fixes】 [...]
【Next】 molcell-star-methods

Anti-patterns

  • Do not paste raw Prism/ImageJ/instrument screenshots as figures.
  • Do not use bars to hide a tiny, variable n — show the points.
  • Do not draw structural contacts the density does not support.
  • Do not crop or splice blots without a visible boundary and disclosure.
  • Do not show a single genomics replicate as if it were the result.

Confirm specs against the current Cell Press figure and digital-image guidelines.

© brycewang-stanford, MIT. 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 Molecular-Cell-Skills/skills/molcell-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Molcell Figures 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.

Molcell Figures compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Molcell Figures this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Nexus UIvictorcodess/nexus-ui132—~12kAutomated safety check: PassMIT
Paper To HTMLysyecust/lecture-to-notes273—~1.3kAutomated safety check: PassCustom licence
Spatial S5 DownstreamQING1105/ezST101—~513Automated safety check: PassMIT
Resolving Clinical Contextmaziyarpanahi/openmed5.5k—~1.8kAutomated safety check: PassApache-2.0
Bio Atac Seq Enhancer Gene LinkingGPTomics/bioSkills1.2k2 repos~4.6kAutomated safety check: PassMIT

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Questions about Molcell Figures

What does Molcell Figures do?

A skill your agent uses to finalize Molecular Cell display items — column-width sizing, minimum fonts, RGB, show-the-data with defined error bars/n/replicate type, gel/blot and structural-figure…. Molcell Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use to finalize Molecular Cell display items — column-width sizing, minimum fonts, RGB, show-the-data with defined error bars/n/replicate type, gel/blot and structural-figure integrity, colorblind-safe palettes, multi-panel discipline, and stand-alone legends built for a mechanism proof.

When should I use Molcell Figures?

Molcell Figures fits situations like: finalize Molecular Cell display items — column-width sizing; show-the-data with defined error bars/n/replicate type; gel/blot and structural-figure integrity; colorblind-safe palettes.

How do I install Molcell Figures in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill molcell-figures -a claude-code`. Or copy the skill folder (Molecular-Cell-Skills/skills/molcell-figures in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/molcell-figures in your project. Claude Code loads it when a task matches its description.

How do I install Molcell Figures in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill molcell-figures -a codex`. Or copy the skill folder (Molecular-Cell-Skills/skills/molcell-figures in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/molcell-figures in your project. Codex loads it when a task matches its description.

Can I use Molcell Figures 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 brycewang-stanford/Awesome-Journal-Skills --skill molcell-figures -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/molcell-figures, .gemini/skills/molcell-figures, .github/skills/molcell-figures and .opencode/skills/molcell-figures in your project.

What does Molcell Figures need to run?

SKILL.md names no scripts, command-line tools or credentials: Molcell Figures is instructions for the agent only.

Does Molcell Figures access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Molcell Figures 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 Molcell Figures use?

Molcell Figures is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Molcell Figures use?

About 1.4k tokens (SKILL.md is roughly 5.5k 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 Molcell Figures?

Skills that share tags, products or a category with Molcell Figures: Nexus UI (victorcodess/nexus-ui, 132 stars), Paper To HTML (ysyecust/lecture-to-notes, 273 stars), Spatial S5 Downstream (QING1105/ezST, 101 stars) and Resolving Clinical Context (maziyarpanahi/openmed, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Molcell Figures?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

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