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Agent skill

Lay Summary For Cross Disciplinary Teams

by aipoch in aipoch/medical-research-skills

Rewrites technical research content into a structured lay summary that cross-disciplinary teams can quickly understand and act on.

MITAuto-check passedDocuments & Office

Install Lay Summary For Cross Disciplinary Teams

skills CLI
$ npx skills add aipoch/medical-research-skills --skill lay-summary-for-cross-disciplinary-teams -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills lay-summary-for-cross-disciplinary-teams --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Academic Writing/lay-summary-for-cross-disciplinary-teams' .claude/skills/lay-summary-for-cross-disciplinary-teams && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lay-summary-for-cross-disciplinary-teams
GitHub stars
1.9k
Token cost
~1k tokens
SKILL.md length
412 words
Files
4 (incl. references, assets)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Rewrites technical research content into a structured lay summary that cross-disciplinary teams can quickly understand and act on.

  • Works in 4 steps: Gather Input → Extract Core Structure → Write the Lay Summary → …
  • The user wants to explain research to colleagues outside their specialty — clinicians
  • SKILL.md covers Position in the Research…, Step 1 — Gather Input, Step 2 — Extract Core Structure and Step 3 — Write the Lay Summary, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lay Summary For Cross Disciplinary Teams is an agent skill from aipoch/medical-research-skills. Rewrites technical research content into a structured lay summary that cross-disciplinary teams can quickly understand and act on. Use when the user wants to explain research to colleagues outside their specialty — clinicians, wet-lab scientists, bioinformaticians, product managers, or leadership. Trigger on: "lay summary", "explain my research to the team", "non-technical summary", "cross-disciplinary summary", "translate my findings", "align our team on the study", or any request to communicate research goals…

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files and assets (for example `assets/output-template.md`, `eval_report_Lay-Summary-for-Cross-Disciplinary-Teams_result.json` and `references/audience-guide.md`).

It sits in Documents & Office, covering Slides and decks and Scientific writing. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • The user wants to explain research to colleagues outside their specialty — clinicians
  • Wet-lab scientists
  • Bioinformaticians
  • Product managers

Example prompts

  • “lay summary”
  • “explain my research to the team”
  • “non-technical summary”
  • “/lay-summary-for-cross-disciplinary-teams”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Gather Input
  2. Extract Core Structure
  3. Write the Lay Summary
  4. Quality Check

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lay Summary For Cross Disciplinary Teams loads about 1k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 198 tokens; SKILL.md has 412 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~198
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 412 words, ~1,036 tokens.

Download SKILL.mdSave it as .claude/skills/lay-summary-for-cross-disciplinary-teams/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
lay-summary-for-cross-disciplinary-teams
description
Rewrites technical research content into a structured lay summary that cross-disciplinary teams can quickly understand and act on. Use when the user wants to explain research to colleagues outside their specialty — clinicians, wet-lab scientists, bioinformaticians, product managers, or leadership. Trigger on: "lay summary", "explain my research to the team", "non-technical summary", "cross-disciplinary summary", "translate my findings", "align our team on the study", or any request to communicate research goals, findings, or next steps to a mixed or non-specialist audience. Part of the AIPOCH Academic Writing skill hub. Sits midstream: after research content is clarified, before downstream deliverables like slide decks or graphical abstracts.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Lay Summary for Cross-Disciplinary Teams

Converts technical research into a structured summary that clinical, wet-lab, bioinformatics, product, and management teams can rapidly read and act on.

Position in the Research Pipeline

This skill sits midstream:

  • Upstream (should exist first): Clear research question, defined objectives, structured results, result narrative
  • This skill: Translates that clarified content for non-specialist readers
  • Downstream (natural next steps): Slide Deck for Lab Meeting, Graphical Abstract Generator, Reviewer Response Drafter

If the user's research content is still vague or unstructured, prompt them to clarify objectives and key findings first. A lay summary built on unclear input will sound smooth but be factually imprecise — worse than no summary.

Step 1 — Gather Input

Ask the user to provide any of:

  • Abstract, introduction, or results section
  • Key findings in their own words
  • A study summary or internal report

Also ask: Who is the primary audience?

  • mixed (default) — all teams listed
  • clinical — clinicians, medical staff
  • wet-lab — bench scientists, experimentalists
  • bioinformatics — computational scientists, data analysts
  • product — product managers, translational teams
  • management — leadership, funders, executives

If unspecified, use mixed and include all relevant audience bullets.

Step 2 — Extract Core Structure

Before writing, internally map the input to these five elements:

ElementWhat to find
Study goalWhy was this done? What problem does it address?
System / populationWhat was studied? (patients, cells, datasets, samples…)
Main findingWhat did the data show? Be specific — avoid vague positives.
Evidence boundaryWhat can this support? What remains uncertain or untested?
Next actionWhat should each team know or do because of this?

If any element is missing from the input, note it in the output and invite the user to fill in the gap.

Show full SKILL.md (133 more words)Show less

Step 3 — Write the Lay Summary

Use the output template in assets/output-template.md.

Writing principles:

  • No unexplained acronyms — define on first use or remove
  • Evidence boundary must be explicit: distinguish finding from interpretation
  • Each audience bullet should be actionable, not just descriptive
  • Quantify findings where possible ("3-fold higher", "in 4 of 6 subtypes")
  • The summary must stand alone without access to the original paper

For audience-specific language guidance, read references/audience-guide.md.

Step 4 — Quality Check

Before delivering output, verify:

  • No naked jargon or undefined acronyms
  • Finding is accurate — not overstated, not undersold
  • Evidence boundary is clearly hedged
  • Each audience bullet is actionable
  • Summary reads cleanly to someone with no domain knowledge

If a check fails, revise before presenting.

References

  • assets/output-template.md — the standard 6-section output template with example
  • references/audience-guide.md — language and framing guidance per audience type

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references, assets) in awesome-med-research-skills/Academic Writing/lay-summary-for-cross-disciplinary-teams of aipoch/medical-research-skills.

  • SKILL.md
  • assets/output-template.md
  • eval_report_Lay-Summary-for-Cross-Disciplinary-Teams_result.json
  • references/audience-guide.md

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Lay Summary For Cross Disciplinary Teams next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lay Summary For Cross Disciplinary Teams compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lay Summary For Cross Disciplinary Teams this skillaipoch/medical-research-skills1.9k—~1kAutomated safety check: PassMIT
Academic WritingZimoLiao/scholaraio577—~827Automated safety check: PassMIT
Academic Paper to PPTXYuan1z0825/nature-skills47k—~1.1kAutomated safety check: PassApache-2.0
Sci HTMLShZhao27208/Aut_Sci_Write209—~1.4kAutomated safety check: NotesMIT
Nature Paper2pptjing1312/nature-figure-skill171—~9.5kAutomated safety check: PassMIT
Nature Paper2pptCitrus-bit/Anaxa1201 repos~5.9kAutomated safety check: PassMIT

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Categories

Questions about Lay Summary For Cross Disciplinary Teams

What does Lay Summary For Cross Disciplinary Teams do?

Rewrites technical research content into a structured lay summary that cross-disciplinary teams can quickly understand and act on. Lay Summary For Cross Disciplinary Teams is an agent skill from aipoch/medical-research-skills. Rewrites technical research content into a structured lay summary that cross-disciplinary teams can quickly understand and act on.

When should I use Lay Summary For Cross Disciplinary Teams?

Lay Summary For Cross Disciplinary Teams fits situations like: the user wants to explain research to colleagues outside their specialty — clinicians; wet-lab scientists; bioinformaticians; product managers.

How do I install Lay Summary For Cross Disciplinary Teams in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill lay-summary-for-cross-disciplinary-teams -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Academic Writing/lay-summary-for-cross-disciplinary-teams in aipoch/medical-research-skills) into .claude/skills/lay-summary-for-cross-disciplinary-teams in your project. Claude Code loads it when a task matches its description.

How do I install Lay Summary For Cross Disciplinary Teams in Codex?

Run `npx skills add aipoch/medical-research-skills --skill lay-summary-for-cross-disciplinary-teams -a codex`. Or copy the skill folder (awesome-med-research-skills/Academic Writing/lay-summary-for-cross-disciplinary-teams in aipoch/medical-research-skills) into .agents/skills/lay-summary-for-cross-disciplinary-teams in your project. Codex loads it when a task matches its description.

Can I use Lay Summary For Cross Disciplinary Teams in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill lay-summary-for-cross-disciplinary-teams -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lay-summary-for-cross-disciplinary-teams, .gemini/skills/lay-summary-for-cross-disciplinary-teams, .github/skills/lay-summary-for-cross-disciplinary-teams and .opencode/skills/lay-summary-for-cross-disciplinary-teams in your project.

What does Lay Summary For Cross Disciplinary Teams need to run?

SKILL.md names no scripts, command-line tools or credentials: Lay Summary For Cross Disciplinary Teams is instructions for the agent only.

Does Lay Summary For Cross Disciplinary Teams access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lay Summary For Cross Disciplinary Teams safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Lay Summary For Cross Disciplinary Teams use?

Lay Summary For Cross Disciplinary Teams is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lay Summary For Cross Disciplinary Teams use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 935 tokens, read only when the agent opens those files.

What are the alternatives to Lay Summary For Cross Disciplinary Teams?

Skills that share tags, products or a category with Lay Summary For Cross Disciplinary Teams: Academic Writing (ZimoLiao/scholaraio, 577 stars), Academic Paper to PPTX (Yuan1z0825/nature-skills, 47k stars), Sci HTML (ShZhao27208/Aut_Sci_Write, 209 stars) and Nature Paper2ppt (jing1312/nature-figure-skill, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lay Summary For Cross Disciplinary Teams?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.