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Nature Portfolio Playbook

Community
Boom5426
nature-portfolio-playbook

Use when choosing among Nature, Nature Methods, or Nature Biotechnology, or when preparing a Nature Portfolio life-science manuscript for venue fit, article-type framing, and policy-aware pre-submission checks.

Overview

PublisherBoom5426
RepositoryNature-Paper-Skills
Skill namenature-portfolio-playbook
Stars
570
Forks
48
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Boom5426 on GitHub. Read the source before you install it.

Installation

Install the Nature Portfolio Playbook 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/Boom5426/Nature-Paper-Skills/tree/main/skills/venue/nature-portfolio-playbook
  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/Boom5426/Nature-Paper-Skills.git /tmp/Nature-Paper-Skills
mkdir -p .claude/skills
cp -r /tmp/Nature-Paper-Skills/skills/venue/nature-portfolio-playbook .claude/skills/nature-portfolio-playbook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nature Portfolio Playbook 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 Nature Portfolio Playbook 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 Nature Portfolio Playbook 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.

Nature Portfolio Playbook

Overview

Use this skill when the venue decision itself is still live, or when a manuscript already targets Nature, Nature Methods, or Nature Biotechnology and needs venue-specific framing before a heavy revision pass.

This skill is about fit and policy. It does not replace scientific-writing, manuscript-optimizer, or submission-audit.

When To Use

Use this skill when:

  • the user asks whether a story fits Nature, Nature Methods, or Nature Biotechnology
  • the paper has a Nature-style tone but the actual venue is undecided
  • the contribution could be framed as an Article, Resource, Analysis, or short-format methods report
  • a manuscript is close to submission and needs a Nature Portfolio-specific preflight

Do not use this skill when:

  • the task is generic sentence-level editing
  • the venue is a conference or a non-Nature journal
  • the manuscript structure itself is still unstable and needs manuscript-optimizer first

Venue Routing

Flagship Nature

Default to Nature only when the paper makes a broad conceptual advance that matters outside the immediate specialty and can be explained to non-specialists without heavy field-specific scaffolding.

Use these framing defaults:

  • prioritize broad readership over specialist density
  • keep title and abstract low-jargon
  • preserve the non-specialist-friendly summary paragraph expectation
  • if fit is uncertain, explicitly test whether the broad-readership case is real before optimizing prose too far

For all three journals, front matter follows the broad register defined in the Readers section of paper-workflow's references/section-contracts.md. For Nature the broad peer is any scientist; for Nature Methods and Nature Biotechnology it is a biologist who would use the method.

Nature Methods

Prefer Nature Methods when the central contribution is a method, assay, platform, computational approach, or resource whose main claim is enabling power.

Before calling a story Nature Methods-fit, check that the manuscript can support all of these:

  • a clear technical advance over available approaches
  • validation and benchmarking against credible baselines or alternatives
  • enough detail or protocol access for reproducibility
  • demonstrated general utility, not just one narrow showcase
  • a compelling biological or biomedical application that shows why the method matters

Nature Biotechnology

Prefer Nature Biotechnology when the paper's value is not just technical novelty but biotechnology significance: enabling capability, translational relevance, engineering depth, platform utility, or community-scale resource value.

Before calling a story Nature Biotechnology-fit, check that the manuscript can make legible:

  • why the advance matters for biotechnology or medicine, not just for one specialist benchmark
  • why the story is substantial enough for a full article rather than a narrower methods report
  • whether the paper is truly an Article or would be better framed as a Resource

Article-Type Check

Do this early. Do not treat article type as formatting cleanup.

  • Article: full research story with multiple linked claims and a substantial evidence chain
  • Resource: community-useful dataset, platform, atlas, database, or screening asset whose lasting value is broad reuse
  • Analysis: integrative or comparative analytical study when the core contribution is the analytical insight rather than a new experimental method
  • short-format method/report categories: use only when the story is tighter, more self-contained, and the journal explicitly supports that format

If the manuscript keeps oscillating between method paper and resource paper, resolve that before rewriting the abstract or Results.

Format Check

The section contracts in paper-workflow (references/section-contracts.md) define what each section must do. This skill supplies the format the venue imposes on them. Before drafting or revising front matter, read the target journal's current formatting guide and note its version or access date in the project notes. Check:

  • abstract or summary paragraph: length, single paragraph or structured, whether citations are allowed, and any prescribed sequence (the Nature summary paragraph is written for readers in other disciplines and has its own order)
  • title: length and character limits, and whether abbreviations are allowed
  • main text: word limit, heading rules, and whether Results and Discussion may be combined
  • Methods: placement, length, and which details move to Supplementary Information
  • display items: number of main figures and tables, and Extended Data rules

Do not carry limits over from memory, from another journal or from a secondary summary; published summaries of these limits disagree with one another. If the current guide cannot be read, report the format as unchecked.

Nature Portfolio Preflight

Run this before calling a draft submission-ready:

  1. Reporting standards
    • confirm whether a reporting summary will be required
    • make sure the manuscript and supplement already contain the information that summary will demand
  2. Data and code availability
    • check that repository names, accession IDs, download links, and access restrictions are ready to disclose
    • do not wait until after acceptance to figure out the data/code statement
  3. Protocol and reproducibility readiness
    • for methods papers, ensure the usable protocol path is clear: supplement, protocol repository, or public method record
  4. Image integrity and raw data
    • ensure unprocessed source images and raw blot/gel material can be produced if requested
    • remove any figure-preparation habit that could look like selective enhancement
  5. AI and attribution
    • Nature Portfolio asks for a Methods statement when generative AI helped write the manuscript; AI-assisted copy editing alone need not be declared
    • keep it to two sentences scoped to actual use, neither wider nor narrower: the tools and what they were used for, then the authors' review and responsibility
    • images made with generative AI are not accepted; an AI-drafted schematic is redrawn by hand or in code before submission
  6. Related-manuscript and preprint disclosures
    • disclose preprints, overlapping submissions, related manuscripts, and conference-proceedings history when relevant

Working Rule

Use this decision order:

  1. choose audience and venue family
  2. choose article type
  3. check whether the evidence package matches the venue promise
  4. only then optimize framing and prose

Official Source Pointers

Keep these Nature Portfolio pages as the primary references:

  • Nature formatting guide
  • Nature editorial criteria and processes
  • Nature Methods aims, content, and editorial-policies pages
  • Nature Biotechnology aims, content, and editorial-policies pages
  • Nature Portfolio policies on reporting standards, image integrity, AI, and preprints/conference proceedings

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nature Portfolio Playbook AI skill do?

Use when choosing among Nature, Nature Methods, or Nature Biotechnology, or when preparing a Nature Portfolio life-science manuscript for venue fit, article-type framing, and policy-aware pre-submission checks.

Why use Nature Portfolio Playbook on TypingMind?

Because you install it once and use it with any model. Nature Portfolio Playbook 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 Nature Portfolio Playbook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Boom5426/Nature-Paper-Skills/tree/main/skills/venue/nature-portfolio-playbook. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nature Portfolio Playbook?

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 Nature Portfolio Playbook?

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

Is the Nature Portfolio Playbook AI skill free?

Yes. It is published on GitHub by Boom5426 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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