Cell Press logo

Cell Press

Organization
KalarisLabs
cell-press

Prepare manuscripts for Cell Press journals (Cell, Molecular Cell, Neuron, Immunity, Cell Reports, Cell Systems, iScience, Cell Metabolism, Current Biology and others), covering Summary, Highlights, eTOC blurb and graphical abstract, STAR Methods with the Key Resources Table, resource availability (lead contact, materials, data and code), figure and statistics requirements, and Cell Press formatting at submission vs revision. Use when targeting a Cell Press journal, writing highlights or a graphical abstract, or converting methods into STAR Methods.

Overview

PublisherKalarisLabs
Repositoryresearch-agent-skills
Skill namecell-press
Stars
91
Forks
8
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by KalarisLabs on GitHub. Read the source before you install it.

Installation

Install the Cell Press AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/KalarisLabs/research-agent-skills/tree/main/skills/cell-press
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/KalarisLabs/research-agent-skills.git /tmp/research-agent-skills
mkdir -p .claude/skills
cp -r /tmp/research-agent-skills/skills/cell-press .claude/skills/cell-press
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cell Press in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cell Press on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cell Press is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cell Press Journals

Workflow

  1. Identify the exact journal and article type, open its current author guidelines, and fill in the limits table below. Never rely on remembered limits.
  2. Check whether a format-free first submission is allowed. If it is, spend effort on content and mandatory statements rather than layout.
  3. Restructure the manuscript into the venue's front matter and sections (see below).
  4. Prepare the required statements, figures and supplementary files.
  5. Run the checklist, then assemble the submission package: manuscript, source files, figures, declarations and cover letter.

Verify first (mandatory)

Each journal has its own author guide (e.g. https://www.cell.com/cell/authors, and the STAR Methods guide at https://www.cell.com/star-methods). Confirm the current limits for your journal and article type:

ItemLimit (fill in)
Summary length
Highlights: number of bullets and characters per bullet
eTOC blurb length
Main text / character count, figures, references
Supplemental information rules

Front matter unique to Cell Press

  • Summary: a single paragraph (commonly up to about 150 words) for a broad audience, without references. Context → gap → what you did → key findings → significance.
  • Highlights: a short list of bullet points (commonly 3-4) with a strict per-bullet character limit (commonly about 85 characters including spaces). Each is a standalone finding, not a method.
  • eTOC blurb / In Brief: a short third-person paragraph for non-specialists: "Smith et al. show that ...".
  • Graphical abstract: a single square-ish panel summarizing the main message. Read in one direction, minimal text, no data plots copied from figures, no journal-style legends.

See abstract-and-title for writing techniques.

STAR Methods (Structured, Transparent, Accessible Reporting)

Required for research papers in most Cell Press journals. Standard headings (verify the current set):

  1. Resource availability: Lead contact, Materials availability, Data and code availability (accessions, DOIs, repository links, and a statement that any additional information is available from the lead contact).
  2. Key Resources Table (KRT): a structured table of antibodies, bacterial/viral strains, biological samples, chemicals, critical commercial assays, deposited data, experimental models (cell lines, organisms/strains), oligonucleotides, recombinant DNA, software and algorithms, and other items, with source and identifier (RRIDs, catalog numbers, accessions) for each row.
  3. Experimental model and study participant details: species, strain, sex, age, source, husbandry, ethics approvals, and for human participants demographics and consent.
  4. Method details: step-by-step, citing protocols where they exist (protocols.io DOIs).
  5. Quantification and statistical analysis: software, tests, what n represents, definitions of centre/dispersion, significance thresholds, and where the statistical details appear in figure legends.

Tips: use RRIDs (https://scicrunch.org/resources) for antibodies, cell lines, organisms and software. Keep main-text Methods out, since STAR Methods replaces them.

Figures and data

  • Figures are multi-panel with consistent styling. Legends state n, statistical test and error bars.
  • Show individual data points where feasible. Avoid bar-only plots for small n.
  • Image integrity: retain unprocessed images. Apply adjustments uniformly across the image.
  • Deposit sequencing, proteomics and structures in community repositories before submission.

Process

  • Many Cell Press journals allow a free-format first submission. Full formatting (STAR Methods, KRT, highlights) is needed at revision. Check the journal's policy.
  • Presubmission inquiries are welcomed by several journals (see cover-letter-to-editor).
  • Preprints are allowed. Disclose them at submission.
  • Cell Press offers transfers between its journals with reviews.

Related skills

venue-templates (Cell style reference), abstract-and-title, reproducibility-statement, scientific-visualization, statistical-analysis, protocolsio-integration, cover-letter-to-editor.

Frequently asked questions

What does the Cell Press AI skill do?

Prepare manuscripts for Cell Press journals (Cell, Molecular Cell, Neuron, Immunity, Cell Reports, Cell Systems, iScience, Cell Metabolism, Current Biology and others), covering Summary, Highlights, eTOC blurb and graphical abstract, STAR Methods with the Key Resources Table, resource availability (lead contact, materials, data and code), figure and statistics requirements, and Cell Press formatting at submission vs revision. Use when targeting a Cell Press journal, writing highlights or a graphical abstract, or converting methods into STAR Methods.

Why use Cell Press on TypingMind?

Because you install it once and use it with any model. Cell Press is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cell Press in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/KalarisLabs/research-agent-skills/tree/main/skills/cell-press. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cell Press?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cell Press?

As many as you like. As long as a model supports skills, you can use Cell Press with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cell Press AI skill free?

Yes. It is published on GitHub by KalarisLabs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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