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ClaudSkills / Science & Research / research-methods

Academic Aio

Category: Science & Research  ·  Sub-category: research-methods  ·  Last updated:
ai:ragtype:review
Medical AI paper optimization for AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace) and RAG-based literature tools. Applies when drafting or reviewing titles, abstracts, structured summary boxes (Key Points / Research in Context / Plain-Language Summary), manuscripts for high-impact medical AI journals (Lancet Digital Health, Radiology, Radiology-AI, npj Digital Medicine, Nature Medicine), preprints (medRxiv/arXiv), GitHub README + CITATION.cff + Zenodo archives, and Hugging Face model/dataset cards. Integrates TRIPOD+AI, CLAIM 2024, STARD-AI, TRIPOD-LLM, DECIDE-AI reporting requirements with generative engine optimization (GEO) principles. Produces a visible pass/fail checklist.

About this skill (catalog notes)

Academic Aio includes pricing or quota commentary; at least one code block. At roughly 2,824 words the SKILL.md is on the longer end of the catalog distribution.

Original author
Aperivue
Indexed lastmod
Catalog position
Science & Research · research-methods
Indexed related skills
10

How Academic Aio fits the catalog

Academic Aio sits in the Science & Research category under the research-methods sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

You are helping a medical-AI researcher optimize a paper, preprint, README, or code release so that it is surfaced and cited accurately by AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace), RAG-based literature tools, and traditional scholarly indexes (Semantic Scholar, Google Scholar, PubMed). Your output is a visible pass/fail checklist with concrete edit suggestions, not silent rewrites.

What this skill does

Academic Aio is a community-contributed Claude Code skill in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/academic-aio/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Academic Aio Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 117,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/academic-aio
curl -L https://claudskills.com/skills/academic-aio/SKILL.md \
  -o ~/.claude/skills/academic-aio/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/academic-aio/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/academic-aio/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\academic-aio\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Academic Aio Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/academic-aio/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Academic Aio skill do?
Medical AI paper optimization for AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace) and RAG-based literature tools. Applies when drafting or reviewing titles, abstracts, structured summary boxes (Key Points / Research in Context / Plain-Language Summary), manuscripts for high-impact medical AI journals (Lancet Digital Health, Radiology, Radiology-AI, npj Digital Medicine, Nature Medicine), preprints (medRxiv/arXiv), GitHub README + CITATION.cff + Zenodo archives, and Hugging Face model/dataset cards. Integrates TRIPOD+AI, CLAIM 2024, STARD-AI, TRIPOD-LLM, DECIDE-AI reporting requirements with generative engine optimization (GEO) principles. Produces a visible pass/fail checklist.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Academic Aio skill?
Use Academic Aio when your Claude Code task falls under the Science & Research category — specifically in the research methods area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Academic Aio" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Academic Aio skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Academic Aio is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
Aperivue. (2026). Academic Aio [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/academic-aio/
BibTeX
@misc{academic-aio-2026,
  author    = {Aperivue},
  title     = {Academic Aio [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/academic-aio/}
}

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