nature-citation
Yuan1z0825/nature-skills · Agent Skill
Automatically adds strict scientific citations (Nature/CNS) to text, selecting relevant publications and exporting them in reference manager format.
Jump to install ↓Overview
| Publisher | |
|---|---|
| Repository | Yuan1z0825/nature-skills ↗ |
| Skill folder | nature-citation |
| Stars | 39,583 |
| Bundled files | 2 |
| License | Apache-2.0 |
| Last updated | August 2, 2026 |
| Links | Skill source ↗ · Repository ↗ |
Mozgi check
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Installation
A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.
Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.
Install the “nature-citation” skill from mozgi.io (https://mozgi.io/skills/nature-citation/) for me. 1. Download the archive: https://mozgi.io/skills/nature-citation/download If it fails, take the skill folder from the source: https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-citation 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “nature-citation” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/nature-citation/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main 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 — the skill appears in the list; call it manually with /nature-citation. For all projects use ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/Yuan1z0825/nature-skills.git /tmp/nature-skills mkdir -p .agents/skills cp -r /tmp/nature-skills/skills/nature-citation .agents/skills/nature-citation
Codex looks for skills in .agents/skills from the current folder up to the repo root; call one with /skills or $nature-citation. For all projects use ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/Yuan1z0825/nature-skills.git /tmp/nature-skills mkdir -p .cursor/skills cp -r /tmp/nature-skills/skills/nature-citation .cursor/skills/nature-citation
Cursor picks the skill up on start; call it with “/” in Agent chat. Cursor also reads .claude/skills and .agents/skills. For all projects use ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/Yuan1z0825/nature-skills.git /tmp/nature-skills mkdir -p .gemini/skills cp -r /tmp/nature-skills/skills/nature-citation .gemini/skills/nature-citation
Gemini CLI offers to activate the skill when a task matches — you approve it. For all projects use ~/.gemini/skills.
Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.
SKILL.md contents
Original author text · read-onlyNature Citation — Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (core principles and scope, the Chinese-user operating mode, and the citation workflow). - A dynamic layer (this file plus
manifest.yaml) that loads the core every time and reaches for heavier material only when a step needs it.
Do not try to apply the citation logic from memory or from this router. Always load fragments from disk as described below.
Routing protocol
Follow these four steps every time the skill is invoked.
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/chinese-mode.md— how to operate when the user writes in Chinese or asks forNature系列/CNS及子刊style support.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 (seecore/principles.md) and pass it to the script as--scope. - user language — if the user writes Chinese, follow
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, generate review artifacts when useful, and report with the HTML browser path first. 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.
Why this split
- The static layer is versioned and reviewable; the core stays small for a normal short run.
- The dynamic layer keeps each invocation cheap: the script flag dump and long-article strategy load only when actually running a search.
- The router itself is short on purpose. Update fragments and references, not this file, when adding scope.
- This structure mirrors
nature-writing,nature-polishing,nature-reader,nature-paper2ppt, andnature-figure.
Frequently asked questions
What does the nature-citation skill do?
Automatically adds strict scientific citations (Nature/CNS) to text, selecting relevant publications and exporting them in reference manager format.
How do I install nature-citation?
Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.
Which AI models work with nature-citation?
Skills are plain Markdown instructions (the Agent Skills format), so nature-citation works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.
Is nature-citation free?
The skill is published openly by Yuan1z0825 under the Apache-2.0 license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.
Is it safe to install skills?
A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.
How is a skill different from an MCP server or a plugin?
An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.