Nature Citation

CommunityPopular

Yuan1z0825

nature-citation

Find and verify Nature/CNS-family literature supporting manuscript claims, with claim-to-source mapping and reference-manager export. Use for Nature系列引用、CNS支撑文献、分段补引用 when this journal scope is requested; use broader literature search for unrestricted sources.

Overview

Publisher	Yuan1z0825
Repository	`nature-skills`
Skill name	`nature-citation`
Stars	42.8K
Forks	2.3K
Bundled files	13
License	Apache-2.0
Links	Skill source Repository

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.
13 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Yuan1z0825 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/Yuan1z0825/nature-skills.git /tmp/nature-skills
mkdir -p .claude/skills
cp -r /tmp/nature-skills/skills/nature-citation .claude/skills/nature-citation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nature Citation 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 Citation 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 Citation 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 Citation — Router

Routing protocol

For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.

1. Load the manifest and the core layer

Read manifest.yaml. Then read every file listed under always_load:

static/core/principles.md — what the skill produces, the strict journal scope, the source hierarchy, and the search-quality rules.
static/core/workflow.md — the seven-step workflow and the final report format.

2. No content axis — confirm scope and language inline

Unlike the other nature-* skills, nature-citation has no fragment axis. Its variation is runtime parameters, not different content bodies:

journal scope — Nature系列 / CNS / CNS及子刊 / flagship-only. Read it from the user's wording (see core/principles.md) and pass it to the script as --scope.
user language — if the user writes Chinese or requests Chinese guidance, read static/core/chinese-mode.md (Chinese notes, English search queries).
input length — if there are more than ~10 segments, switch to the batched long-article strategy in references/script-usage.md.

State the detected scope and date limits in one short line before searching.

3. Run the workflow

Follow the seven steps in core/workflow.md: segment, parse, search, evaluate support conservatively, validate complete structured author metadata, export one reference-manager file, and generate review artifacts when useful. Put the HTML browser path first only when it was generated. Prefer scripts/nature_citation.py for the search/export when internet access is available; open references/script-usage.md for its full flag list and the long-article batch strategy. When DOI metadata lacks given names, refetch the record by PMID or verify it against the publisher rather than exporting surname-only AU fields.

Never present a paper as support merely because its title is related, and never cite a metadata-only candidate without checking the abstract or publisher page. Do not invent missing bibliographic fields.

4. Reach for references only when needed

The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest:

running the script, full flags, long-article batching → references/script-usage.md.
turning a claim into search queries and support grades → references/search-strategy.md.
the exact Nature/CNS journal-family boundary → references/journal-scope.md.
RIS / EndNote / Zotero RDF export details → references/ris-endnote.md.

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 Citation AI skill do?

Why use Nature Citation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-citation. 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 Citation?

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 Citation?

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

Is the Nature Citation AI skill free?

Yes. It is published on GitHub by Yuan1z0825 under the Apache-2.0 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.

View all

Caveman Explore

JuliusBrussee

CommunityPopular

Read-only repository explorer for cold-start orientation, broad cross-file localization, or when a direct search failed. Skip it when the exact file or symbol is already named. Returns path:line…

Dcf Valuation

Discounted cash flow valuation and intrinsic value analysis for public companies. Use when the brief asks for DCF, fair value, intrinsic value, price target, undervalued or overvalued analysis, or…

Magazine Web Ppt

For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes. Built around the core query "annual-marketing-plan", with GTM strategy lead judgment,…

Html Ppt Zhangzara Cartesian

nexu-io

OrganizationPopular

An economics senior thesis on the employment effects of local minimum-wage increases — identification strategy, evidence, and limitations. Built as a decision-grade coursework defense deck for thesis…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Nature Citation — Router

Routing protocol

1. Load the manifest and the core layer

2. No content axis — confirm scope and language inline

3. Run the workflow

4. Reach for references only when needed

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now