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Nature Academic Search skill

Search literature across sources, verify or manage citations, and build MeSH strategies or citation-impact audits. Use for 文献检索、引文核对、参考文献管理、严格他引 and evidence-backed citer profiles; not for translating a paper or drafting manuscript prose.

$npx skills add Yuan1z0825/nature-skills --skill nature-academic-search
View this skill on GitHubYuan1z0825/nature-skills/skills/nature-academic-search/SKILL.md
Pack stars
53,060
Pack installs
301k
Alyn Score
81/99
Updated
23 h ago
License
Apache-2.0
– views – installs via Alyn

Install Nature Academic Search

Pick your agent. Every command is ready to paste.

$npx skills add Yuan1z0825/nature-skills --skill nature-academic-search

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads nature-academic-search when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the nature-academic-search skill”. In Codex, type $nature-academic-search.

The skill itself

SKILL.md

FolderGitHub

Academic Search — Router

Routing protocol

For local citation-file conversion with complete supplied records, load references/workflows/wf4-citation-file-mgmt.md and its format reference directly. Source lookup, API setup, and network preflight apply only when retrieval or verification is needed; do not require them for a requested offline conversion.

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. It declares the workflow axis, the allowed values, and the file paths each value maps to.

Also read every file listed under always_load:

  • static/core/tools.md — the MCP tool inventory (core search, extended search, PubMed utilities) and the shared-module map.
  • static/core/routing-and-ops.md — the T1→T2→T3 source routing quick guide, environment setup, error handling, and limitations.

2. Detect the workflow

Map the user's need to one or more workflow values:

  • multi-source-search — find literature across sources.
  • citation-verification — verify citations extracted from a document.
  • mesh-strategy — build a MeSH/PubMed search strategy.
  • citation-file-mgmt — convert/manage .nbib/.ris/.bib files.
  • reference-mgmt — BibTeX, related-article discovery, ID conversion.
  • strict-other-citation-impact-audit — determine strict independent other-citations, build article-level citation metric tables, identify high-profile citers (academy members, presidents/deans, talent-award holders, fellows, field leaders), and extract how they cited the target paper.

A combined request (for example search then export) may need more than one. State the detected workflow(s) in one short line before proceeding.

3. Load the matching workflow fragment(s)

Read the file mapped for each detected workflow (under references/workflows/). Do not read every workflow. Each workflow file links to the shared modules it needs.

4. Run the workflow using the loaded material

Apply the loaded material in this order:

  1. Core tools and routing (core/tools.md, core/routing-and-ops.md) — which MCP tool for which need, and the T1→T2→T3 fallback chain for source retrieval.
  2. The workflow fragment — its specific steps.
  3. Shared modules and scripts on demand (dedup, citation parser, search strategy, RIS/BibTeX format, format converter).

Report specific tool failures and continue with remaining tools; broaden terms when there are no results; fall back to manual generation from MCP-fetched metadata if a script fails twice.

5. Reach for references only when needed

The files under references/ (and scripts/) are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest — for example references/source-tiers.md for the full reliability classification, references/dedup-engine.md / references/citation-parser.md / references/search-strategy.md / references/ris-bibtex-format.md for the shared modules, and scripts/academic_search.py (no-MCP fallback discovery search) / scripts/format-converter.py / scripts/preflight.py for the tooling.

Tips for Nature Academic Search

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 24 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Nature Academic Search

What does the Nature Academic Search skill do?

Search literature across sources, verify or manage citations, and build MeSH strategies or citation-impact audits. Use for 文献检索、引文核对、参考文献管理、严格他引 and evidence-backed citer profiles; not for translating a paper or drafting manuscript prose.

How do I install Nature Academic Search?

Run "npx skills add Yuan1z0825/nature-skills --skill nature-academic-search" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Nature Academic Search work in Cursor and Codex?

Yes. Nature Academic Search uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Nature Academic Search free?

Nature Academic Search is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.

Who made Nature Academic Search?

Nature Academic Search is published by Yuan1z0825 in the Yuan1z0825/nature-skills repository, together with 23 other skills.

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