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README.md

Cell Skills

Cell (Cell Press) cover card

License: MIT Journal Scope Claude Code

English | 简体中文

Agent skill stack for manuscripts targeted at Cell (Cell Press) — the flagship molecular and cell-biology research journal.

This pack is opinionated. It is not a generic "scientific writing" toolbox. It is a Cell-specific stack that encodes the journal's editorial bar — a complete, mechanistic, hypothesis-driven story with multiple converging lines of evidence — and the concrete conventions that follow: the single-narrative Article, the signature Highlights / eTOC blurb / Graphical Abstract trio, the ≤150-word unstructured Summary, STAR Methods with the Key Resources Table and Resource Availability, data/code deposition (with Mendeley Data as Elsevier's default), Cell Press author–date references, and a conceptual-advance cover letter.


Why a Separate Cell Skill Stack?

Cell imposes constraints that differ materially from field journals — and from Nature/Science:

Constraint Cell Implication
Editorial bar A complete, mechanistic story with converging evidence Single-observation / descriptive papers are pre-review rejected
Article structure Summary · Intro · Results · Discussion · STAR Methods A free-text Methods section is off-style
Signature artifacts Highlights, eTOC blurb, Graphical Abstract Missing/weak artifacts hurt at every editorial stage
Highlights 3–4 bullets, each ≤ 85 characters Full sentences or overruns are non-compliant
Summary (abstract) Single paragraph, ≤ ~150 words, mechanism named, quantified Long/structured abstracts are off-style
Methods STAR Methods + Key Resources Table + Resource Availability Reagents need source + RRID/catalog #
Data & code Deposited with accession/DOI; Mendeley Data default; 3-bullet statement "On request" not acceptable for primary data
References Author–date, alphabetical list, full author lists Numbered-by-appearance (Science) must be converted
Over-claiming A top rejection reason; reviewers demand a complete story Conclusions must not outrun the evidence

Generic "scientific writing" packs do not encode these venue constraints.


Quick Start

Option A — Claude Code Plugin (recommended)

/plugin marketplace add https://github.com/brycewang-stanford/awesome-journal-skills
/plugin install cell-skills
/reload-plugins

Option B — Manual Copy

git clone https://github.com/brycewang-stanford/awesome-journal-skills.git
cd awesome-journal-skills/Cell-Skills

mkdir -p ~/.claude/skills && cp -R skills/cell-* ~/.claude/skills/
# or
mkdir -p ~/.codex/skills && cp -R skills/cell-* ~/.codex/skills/

First Prompt

Use cell-workflow to tell me which skill I should use next for my manuscript targeted at Cell.

Default Workflow

cell-fit            (clear the complete-mechanistic-story bar first)
        ▼
cell-framing        (lock the single narrative arc: hypothesis → mechanism → significance)
        ▼
cell-writing        (Article structure; hold length; STAR Methods, not free-text)
        ▼
cell-figures        (display items within budget)
        ▼
cell-star-methods   (Key Resources Table + Resource Availability + QSA)
        ▼
cell-data           (data / code deposition + 3-bullet availability statement)
        ▼
cell-summary        (≤150-word Summary — polish)
        ▼
cell-highlights     (Highlights + eTOC blurb + Graphical Abstract — polish)
        ▼
cell-citation       (Cell Press author–date style — polish)
        ▼
cell-submission     (cover letter + preflight)
        ▼
cell-rebuttal       (after review)

cell-workflow is the router — it tells you which skill to use next based on where you are.


Skills

Skill Purpose
cell-workflow Router — decides which sub-skill to invoke next
cell-fit Pre-review filter: complete mechanistic story; Cell Press venue routing
cell-framing Lock the single narrative arc and a declarative title
cell-highlights Highlights (≤85 chars), eTOC blurb (~50 words), Graphical Abstract
cell-summary ≤150-word unstructured Summary, mechanism named, quantified
cell-writing Article structure; length budget (~45,000 chars); STAR Methods location
cell-figures Column sizing (85/114/174 mm), ≥6–7 pt fonts, show-the-data, integrity
cell-star-methods Key Resources Table + Resource Availability (3 subsections) + QSA
cell-data Deposition (GEO/PDB/PRIDE/Mendeley Data), accessions, 3-bullet statement
cell-citation Cell Press author–date style, alphabetical list, full author lists
cell-submission Full preflight checklist + cover-letter template
cell-rebuttal Decision triage, experiment prioritization, point-by-point response

Resources


Differences vs. Nature / Science / Cell Press siblings

Dimension Cell Nature / Science Molecular Cell / Cell Reports / CRM
Bar Complete mechanistic story Top-1% broad significance Cell Reports: more accepting
Signature artifact Highlights + eTOC + Graphical Abstract One-sentence summary (Science) / summary paragraph (Nature) Same Cell Press artifacts
Abstract Summary, ≤150 w, unstructured Science ≤125 w + one-sentence summary Similar Cell Press Summary
Methods STAR Methods + KRT Methods section / Supplementary Also STAR Methods
References Author–date, alphabetical Science: numbered by appearance Cell Press author–date
When to switch If you want the widest audience Molecular Cell (molecular focus) / Cell Reports (less broad) / CRM (translational)

Note: Cell uses author–date references — the opposite of Science's numbered-by-appearance style. For Science, see the sibling Science-Skills pack; for Nature, see nature-skills.


Related


Disclaimer

This is an independent, community-built skill pack. It is not affiliated with, endorsed by, or produced by Cell Press, Elsevier, or Cell. All targets (word counts, character limits, item limits, style rules) reflect publicly documented author guidelines at the time of writing — always confirm against the current Cell author guidelines and STAR Methods guidelines before submitting.


License

MIT