A skill your agent uses when targeting JAMA Cardiology or deciding whether a cardiovascular-medicine study fits this venue.

MITAuto-check passedResearch & Science

Install Jama Cardiology

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-cardiology -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jama-cardiology --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Clinical-Medicine-Journal-Skills/skills/jama-cardiology .claude/skills/jama-cardiology && 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
jama-cardiology
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
761 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting JAMA Cardiology or deciding whether a cardiovascular-medicine study fits this venue.

  • Targeting JAMA Cardiology
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether a cardiovascular-medicine study fits this venue

What it does

Jama Cardiology is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting JAMA Cardiology or deciding whether a cardiovascular-medicine study fits this venue. Encodes the journal's fit, the cardiovascular-trial and outcomes evidence bar, reporting-guideline and trial-registration requirements, JAMA Network house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Targeting JAMA Cardiology
  • Deciding whether a cardiovascular-medicine study fits this venue

Example prompts

  • “/jama-cardiology”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

Jama Cardiology loads about 1.9k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 761 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 761 words, ~1,908 tokens.

Download SKILL.mdSave it as .claude/skills/jama-cardiology/SKILL.md (or your agent's skills folder).
name
jama-cardiology
description
Use when targeting JAMA Cardiology or deciding whether a cardiovascular-medicine study fits this venue. Encodes the journal's fit, the cardiovascular-trial and outcomes evidence bar, reporting-guideline and trial-registration requirements, JAMA Network house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

JAMA Cardiology (jama-cardiology)

Journal positioning

JAMA Cardiology is a JAMA Network specialty journal for cardiovascular clinical research relevant to the practice of cardiology and cardiovascular medicine. It favors rigorous, practice-relevant work — randomized cardiovascular trials, large outcomes and registry analyses, prevention and risk-factor studies, and cardiac imaging studies tied to clinical outcomes — with JAMA's emphasis on hard endpoints, absolute risk, and direct relevance to patient care. Mechanistic bench cardiology, small physiology studies with surrogate-only readouts, and imaging-technique papers with no outcome link are a weak fit. This skill is a fit / venue-selection / re-framing aid; it is not clinical or regulatory advice and does not replace the journal's current instructions for authors. Before submitting, re-check the live JAMA Cardiology author instructions.

When to trigger

  • The author names JAMA Cardiology for a cardiovascular clinical, outcomes, or imaging-outcome study and wants a fit/framing check.
  • A cardiovascular study must be re-framed around a hard clinical endpoint (MACE, mortality, hospitalization) for a practicing-cardiology audience.
  • The author is choosing between JAMA Cardiology, JAMA, and a cardiology-society journal.
  • The author needs the journal's reporting-guideline, registration, and desk-reject expectations for cardiovascular work.

Scope & topic fit

  • Randomized cardiovascular trials (drug, device, procedural, or strategy) with clinically meaningful endpoints, including pragmatic and de-implementation designs.
  • Large outcomes, registry, and claims analyses on cardiovascular events, heart failure, arrhythmia, and structural/interventional outcomes.
  • Cardiovascular prevention, risk-factor, lipid, hypertension, and population cardiovascular-health studies.
  • Cardiac imaging (echo, CMR, CCT, nuclear) studies where the contribution is a clinical-outcome or prognostic association, not a pure imaging technique.
  • Cardiovascular biomarker and risk-prediction studies validated against outcomes.
  • Systematic reviews and meta-analyses answering a focused cardiovascular question.

Method & evidence bar

  • Trials must be adequately powered with a prespecified primary endpoint, ideally a hard clinical outcome or validated composite (with the composite components reported); surrogate-only endpoints need strong justification.
  • The applicable reporting guideline and checklist are required: CONSORT for trials (with device/procedure extensions where relevant), STROBE for observational studies, PRISMA for systematic reviews; risk-model work should follow TRIPOD-style reporting.
  • Trials require prospective registration; registration number, protocol, and statistical-analysis plan are expected, including for device and procedural trials.
  • Effect estimates need absolute and relative measures, confidence intervals, adequate follow-up, and adjudicated endpoints where feasible.
  • Registry/observational claims must address confounding by indication, immortal-time bias, and missing data; causal language must match the design.
  • Risk-prediction and biomarker claims need internal and ideally external validation, calibration, and discrimination metrics.

Structure & house style

  • JAMA Network format with a structured abstract and a Key Points box; re-check current article types (Original Investigation, Brief Report, Research Letter, etc.) and limits on the live guide.
  • The introduction frames a focused, practice-relevant cardiovascular question; the discussion states the clinical implication and absolute benefit/harm plainly.
  • Tables/figures follow JAMA Network statistical-reporting standards; CONSORT/STROBE flow diagrams, event-free survival curves with numbers at risk, and adjudicated-event tables are expected where applicable.
  • Supplements carry the protocol, SAP, endpoint definitions, and additional analyses.
Show full SKILL.md (286 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the ICMJE and JAMA Network anchors, then cite the current JAMA Cardiology page you checked.
  • Search the live site for "JAMA Cardiology instructions for authors" and follow the current version.
  • Re-check article types and word/reference/table limits, structured-abstract and Key Points format, and the JAMA Network statistical-reporting requirements.
  • Confirm trial registration, the reporting checklist (CONSORT/STROBE/PRISMA), the data-sharing statement, and protocol/SAP submission.
  • Re-check IRB/ethics and consent statements, ICMJE authorship and conflict-of-interest disclosure (device/industry ties scrutinized), funding, and AI-use disclosure.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • The study answers a practice-relevant cardiovascular question with a hard or validated clinical endpoint.
  • The primary endpoint is prespecified and adjudicated where feasible; the study is adequately powered.
  • The correct reporting checklist (CONSORT/STROBE/PRISMA/TRIPOD) is completed and attached.
  • Trials are prospectively registered with the number in the manuscript; protocol/SAP provided.
  • Confounding by indication, immortal-time bias, and missing data are addressed; causal language matches the design.
  • IRB/consent, ICMJE disclosures (including device/industry ties), and a data-sharing statement are prepared.

Common desk-reject triggers

  • Underpowered trials or surrogate-only physiology studies framed as practice-relevant.
  • Imaging-technique papers with no clinical-outcome or prognostic link.
  • Registry/observational analyses with confounding by indication or immortal-time bias and overstated causal claims.
  • Risk models or biomarkers without validation, calibration, or discrimination reporting.
  • Missing trial registration, protocol, endpoint adjudication, or the required reporting checklist.
  • Mechanistic/basic cardiology better served by a cardiovascular-science journal.

Re-routing decision

  • Broadly practice-changing, top-tier cardiovascular trial → general medicine (jama / NEJM / The Lancet in the natural-science bundle).
  • General internal-medicine relevance over cardiology specialty → jama-internal-medicine.
  • Cardiac imaging with an imaging-method core over clinical outcome → radiology.
  • Cerebrovascular/stroke-specific cardiovascular focus → stroke.
  • Surgical/perioperative cardiac focus → jama-surgery.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] JAMA Cardiology
[Specialty tags] <2–3 closest cardiovascular topics>
[Study design / reporting guideline] <RCT-CONSORT / cohort-STROBE / model-TRIPOD / review-PRISMA>
[Method/evidence] <does power, endpoint, registration, and validation clear the bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / registration / checklist / endpoint adjudication / ethics / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>

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

Files

Just SKILL.md in Clinical-Medicine-Journal-Skills/skills/jama-cardiology of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Jama Cardiology this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.9kAutomated safety check: PassMIT
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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Jama Cardiology

What does Jama Cardiology do?

A skill your agent uses when targeting JAMA Cardiology or deciding whether a cardiovascular-medicine study fits this venue. Jama Cardiology is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting JAMA Cardiology or deciding whether a cardiovascular-medicine study fits this venue.

When should I use Jama Cardiology?

Jama Cardiology fits situations like: targeting JAMA Cardiology; deciding whether a cardiovascular-medicine study fits this venue.

How do I install Jama Cardiology in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-cardiology -a claude-code`. Or copy the skill folder (Clinical-Medicine-Journal-Skills/skills/jama-cardiology in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jama-cardiology in your project. Claude Code loads it when a task matches its description.

How do I install Jama Cardiology in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-cardiology -a codex`. Or copy the skill folder (Clinical-Medicine-Journal-Skills/skills/jama-cardiology in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jama-cardiology in your project. Codex loads it when a task matches its description.

Can I use Jama Cardiology 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 brycewang-stanford/Awesome-Journal-Skills --skill jama-cardiology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jama-cardiology, .gemini/skills/jama-cardiology, .github/skills/jama-cardiology and .opencode/skills/jama-cardiology in your project.

What does Jama Cardiology need to run?

SKILL.md names no scripts, command-line tools or credentials: Jama Cardiology is instructions for the agent only.

Does Jama Cardiology 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 Jama Cardiology 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 Jama Cardiology use?

Jama Cardiology is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jama Cardiology use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Jama Cardiology?

Skills that share tags, products or a category with Jama Cardiology: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jama Cardiology?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.