Elsevier Cas logo

Elsevier Cas

Organization
KalarisLabs
elsevier-cas

Prepare submissions to Elsevier journals (including The Lancet family style notes, Cell-independent Elsevier titles, and thousands of society journals) using the elsarticle LaTeX class, the CAS single/double-column templates or Word, covering highlights, graphical abstracts, keywords, CRediT author statements, declarations of interest, generative-AI disclosure, data availability, reference styles per journal, Editorial Manager submission and "Your Paper Your Way" format-free first submission. Use when targeting an Elsevier journal or fixing elsarticle/CAS template issues.

Overview

PublisherKalarisLabs
Repositoryresearch-agent-skills
Skill nameelsevier-cas
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 Elsevier Cas 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/elsevier-cas
  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/elsevier-cas .claude/skills/elsevier-cas
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Elsevier Cas 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 Elsevier Cas 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 Elsevier Cas 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.

Elsevier 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 Elsevier journal's Guide for Authors (linked from its ScienceDirect/journal home page) overrides general advice. It sets article types, word limits, the reference style (numbered, author-year, or journal-specific), highlights/graphical abstract rules, and whether the CAS template is expected. LaTeX instructions: https://www.elsevier.com/researcher/author/policies-and-guidelines/latex-instructions.

Many journals follow "Your Paper Your Way": the first submission can be a single PDF in any reasonable format, and strict formatting is only needed at revision. Check before reformatting.

LaTeX templates

latex
% Classic, accepted by nearly all Elsevier journals:
\documentclass[preprint,12pt]{elsarticle}   % review: preprint; final look: 1p, 3p, 5p (+twocolumn)
\journal{Journal Name}
\usepackage{lineno} \linenumbers            % reviewers appreciate line numbers
\bibliographystyle{elsarticle-num}          % or elsarticle-harv / elsarticle-num-names per guide

% CAS templates (journals that request them):
% \documentclass[a4paper,fleqn]{cas-sc}     % single column
% \documentclass[a4paper,fleqn]{cas-dc}     % double column

The venue-templates skill bundles elsarticle scaffolds and .bst files. Front matter uses the frontmatter environment with \title, \author[a], \affiliation[a]{...}, \ead{email}, \cortext, abstract and keyword environments (keywords separated by \sep).

Minimal complete CAS double-column manuscript

Start from this skeleton when the journal requests the CAS template. Get cas-dc.cls, cas-common.sty and the bibliography style from Elsevier's LaTeX instructions page, then check the macros against the template's own documentation, because CAS versions differ.

latex
\documentclass[a4paper,fleqn]{cas-dc}
\usepackage[authoryear]{natbib}            % or [numbers]: follow the Guide for Authors
\shorttitle{Short running title}
\shortauthors{A. Author et al.}

\begin{document}
\let\WriteBookmarks\relax
\title [mode = title]{Full title of the article}

\author[1]{First Author}[orcid=0000-0000-0000-0000]
\cormark[1]
\ead{first.author@university.edu}
\credit{Conceptualization, Methodology, Writing - original draft}
\affiliation[1]{organization={Department, University}, city={City}, country={Country}}

\author[2]{Second Author}
\credit{Formal analysis, Writing - review \& editing}
\affiliation[2]{organization={Institute}, city={City}, country={Country}}

\cortext[1]{Corresponding author}

\begin{abstract}
One paragraph within the journal's word limit.
\end{abstract}

\begin{highlights}
\item First result-focused highlight within the character limit
\item Second highlight
\item Third highlight
\end{highlights}

\begin{keywords}
keyword one \sep keyword two \sep keyword three
\end{keywords}

\maketitle

\section{Introduction}
...

\section*{CRediT authorship contribution statement}
\printcredits

\section*{Declaration of competing interest}
The authors declare that they have no known competing financial interests or personal relationships that could have
appeared to influence the work reported in this paper.

\section*{Declaration of generative AI and AI-assisted technologies in the writing process}
% Follow the journal's current required wording, or remove the section if no AI tools were used.

\section*{Data availability}
Data are available at [repository, DOI].

\bibliographystyle{cas-model2-names}        % match the journal's reference style
\bibliography{refs}
\end{document}

Required and common elements

  • Highlights: a separate file of bullet points (commonly 3-5, each up to about 85 characters including spaces). Results, not methods.
  • Graphical abstract: required or encouraged by some journals. Single image with a minimum size given in the guide.
  • Keywords: typically a small set (check the maximum), often without words already in the title.
  • CRediT author statement: contributions using the 14 CRediT roles (see reproducibility-statement).
  • Declaration of competing interest: many journals require Elsevier's declaration tool output as a file.
  • Declaration of generative AI and AI-assisted technologies in the writing process: Elsevier asks authors to disclose such use in a dedicated statement. Check the current policy wording.
  • Data availability: statement and/or data linking (Mendeley Data, domain repositories).
  • Funding with grant numbers. Ethics approvals and consent for human/animal studies.

Reference styles

The guide specifies one of: numbered [1], numbered with names, author-year (Harvard), or a named style (APA, Vancouver). Use the matching .bst/CSL style. Enter DOIs. For initial "Your Paper Your Way" submissions any consistent style is usually accepted.

Submission

Editorial Manager (journal-specific site). Upload the manuscript (PDF for initial, source files for revision: .tex, .bib/.bbl, figures), highlights, graphical abstract, declarations, and cover letter. Suggested reviewers are often requested (see cover-letter-to-editor). The Elsevier Researcher Academy and journal "Article Transfer Service" may offer transfers after rejection.

Related skills

venue-templates, abstract-and-title (highlights), reproducibility-statement, cover-letter-to-editor, bibtex-hygiene, rebuttal-and-response-to-reviewers.

Frequently asked questions

What does the Elsevier Cas AI skill do?

Prepare submissions to Elsevier journals (including The Lancet family style notes, Cell-independent Elsevier titles, and thousands of society journals) using the elsarticle LaTeX class, the CAS single/double-column templates or Word, covering highlights, graphical abstracts, keywords, CRediT author statements, declarations of interest, generative-AI disclosure, data availability, reference styles per journal, Editorial Manager submission and "Your Paper Your Way" format-free first submission. Use when targeting an Elsevier journal or fixing elsarticle/CAS template issues.

Why use Elsevier Cas on TypingMind?

Because you install it once and use it with any model. Elsevier Cas 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 Elsevier Cas in TypingMind?

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

Which AI models can use Elsevier Cas?

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 Elsevier Cas?

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

Is the Elsevier Cas 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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