A skill your agent uses when targeting Stroke or deciding whether a cerebrovascular-disease study fits this venue.

MITAuto-check passedResearch & Science

Install Stroke

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills stroke --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/stroke .claude/skills/stroke && 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
stroke
GitHub stars
1.2k
Token cost
~2k tokens
SKILL.md length
775 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Stroke or deciding whether a cerebrovascular-disease study fits this venue.

  • Targeting Stroke
  • 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 cerebrovascular-disease study fits this venue

What it does

Stroke is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Stroke or deciding whether a cerebrovascular-disease study fits this venue. Encodes the journal's fit, the clinical/translational/basic cerebrovascular evidence bar, reporting-guideline and registration requirements, AHA/ASA house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

Its SKILL.md is about 2k 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, covering Clinical and healthcare research. 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 Stroke
  • Deciding whether a cerebrovascular-disease study fits this venue

Example prompts

  • “/stroke”

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

Stroke loads about 2k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 775 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 775 words, ~1,996 tokens.

Download SKILL.mdSave it as .claude/skills/stroke/SKILL.md (or your agent's skills folder).
name
stroke
description
Use when targeting Stroke or deciding whether a cerebrovascular-disease study fits this venue. Encodes the journal's fit, the clinical/translational/basic cerebrovascular evidence bar, reporting-guideline and registration requirements, AHA/ASA house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

Stroke (stroke)

Journal positioning

Stroke is the flagship cerebrovascular journal of the American Heart Association / American Stroke Association (AHA/ASA), publishing clinical, translational, and basic research focused specifically on cerebrovascular disease — ischemic and hemorrhagic stroke, subarachnoid hemorrhage, cerebral small-vessel disease, prevention, acute treatment (thrombolysis, thrombectomy), recovery and rehabilitation, and the vascular biology and neurovascular mechanisms behind them. It serves vascular neurologists, neurointerventionalists, neurosurgeons, and cerebrovascular scientists, and expects cerebrovascular-specific work that advances prevention, acute care, recovery, or mechanism; general neurology without a clear cerebrovascular focus, and underpowered single-center series with no practice or mechanistic advance, 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 Stroke author instructions.

When to trigger

  • The author names Stroke for a cerebrovascular clinical, translational, or basic study and wants a fit/framing check.
  • A study must be re-framed around a cerebrovascular-specific question (prevention, acute treatment, recovery, mechanism) for an AHA/ASA readership.
  • The author is choosing between Stroke, a broad mechanistic neurology journal, and a clinical-trials neurology journal.
  • The author needs the journal's reporting-guideline, registration, and desk-reject expectations for cerebrovascular research.

Scope & topic fit

  • Acute ischemic stroke treatment: thrombolysis, endovascular thrombectomy, and imaging-based selection, with clinical outcomes.
  • Intracerebral and subarachnoid hemorrhage: management, hematoma/aneurysm outcomes, and complications.
  • Stroke prevention: antithrombotics, risk factors, atrial fibrillation, carotid disease, and population/epidemiologic studies.
  • Cerebral small-vessel disease, vascular cognitive impairment, and neuroimaging-anchored cerebrovascular studies.
  • Stroke recovery, rehabilitation, and neurorepair with functional endpoints.
  • Translational and basic cerebrovascular/neurovascular biology (ischemia, blood-brain barrier, vascular biology) with clear disease relevance.

Method & evidence bar

  • Clinical studies must be adequately powered with prespecified, patient-centered outcomes (e.g., functional outcome scales such as the modified Rankin Scale where appropriate); surrogate/imaging endpoints need validation and justification.
  • The applicable reporting guideline must be followed and its checklist supplied: CONSORT for trials, STROBE for observational studies, PRISMA for systematic reviews, STARD for diagnostic accuracy.
  • Interventional trials require prospective registration; the registration number and protocol/statistical-analysis plan are expected.
  • Translational and basic stroke models need rigorous controls, randomization/blinding, adequate replication, and ARRIVE-aligned reporting; rigor expectations for preclinical stroke (e.g., STAIR-type considerations) strengthen fit.
  • Imaging and biomarker claims require an independent validation cohort and an accepted reference standard; reader/operator variability should be reported.
  • Observational and registry analyses must address confounding, selection, and competing risks; causal language must match the design.

Structure & house style

  • AHA/ASA (Wolters Kluwer) format with a structured abstract and, where required, a graphical abstract; re-check current article types and limits on the live guide.
  • The introduction frames a focused cerebrovascular question and its clinical or mechanistic importance; the discussion states the prevention, acute-care, recovery, or mechanistic implication plainly.
  • Tables/figures follow AHA statistical-reporting standards; a CONSORT/STROBE/PRISMA flow diagram is expected where applicable; preclinical figures must show randomization/blinding and controls.
  • Supplements carry the protocol, full statistical methods, and additional analyses/cohorts.
Show full SKILL.md (297 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/EQUATOR and AHA/ASA anchors, then cite the current Stroke page you checked.
  • Search the live site for "Stroke AHA/ASA instructions for authors" and follow the current version.
  • Re-check article types, word/figure limits, structured- and graphical-abstract format, and AHA statistical-reporting requirements.
  • Confirm trial registration, the reporting checklist (CONSORT/STROBE/PRISMA/STARD), data-sharing statement, and protocol/SAP submission.
  • Re-check IRB/ethics and consent, animal-use approval and ARRIVE-aligned (and preclinical-rigor) reporting, ICMJE authorship and conflict-of-interest disclosure, 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 focused cerebrovascular question with a clear prevention, acute-care, recovery, or mechanistic implication.
  • The primary outcome is prespecified and patient-centered (e.g., functional scale); surrogate/imaging endpoints are validated.
  • The correct reporting checklist (CONSORT/STROBE/PRISMA/STARD) is completed and attached.
  • Trials are prospectively registered with the number in the manuscript; protocol/SAP provided.
  • Preclinical studies report randomization, blinding, controls, and ARRIVE-aligned details.
  • IRB/animal ethics and consent, ICMJE disclosures, and a data-sharing statement are prepared.

Common desk-reject triggers

  • General neurology or vascular work with no clear cerebrovascular-specific focus or relevance.
  • Underpowered single-center series with limited generalizability and no practice or mechanistic advance.
  • Preclinical stroke studies lacking randomization/blinding, adequate controls, or ARRIVE-aligned reporting.
  • Imaging/biomarker studies without an independent validation cohort or reference standard.
  • Missing trial registration, protocol, or the required reporting checklist; overstated causal claims in observational data.
  • Topic better served by a broad mechanistic neurology, clinical-trials neurology, or general-cardiology venue.

Re-routing decision

  • Deep disease-mechanism neurology beyond cerebrovascular focus → brain.
  • Clinical-trial or observational neurology emphasis without cerebrovascular specificity → jama-neurology.
  • Practice-changing, broadly significant trial → general medicine (jama / NEJM / The Lancet in the natural-science bundle).
  • Cardiac/atrial-fibrillation focus where the cardiology endpoint dominates → jama-cardiology.
  • Cerebrovascular imaging where the imaging method dominates → radiology.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Stroke (AHA/ASA)
[Cerebrovascular tags] <2–3 closest topics, e.g. thrombectomy trial, ICH outcomes, small-vessel disease>
[Study design / reporting guideline] <RCT-CONSORT / cohort-STROBE / review-PRISMA / diagnostic-STARD / preclinical>
[Method/evidence] <power, functional endpoint, registration, preclinical rigor/validation>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / registration / checklist / animal 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/stroke of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Stroke 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.

Stroke compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Stroke this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~2kAutomated safety check: PassMIT
Clinical Trials Databasegoogle-deepmind/science-skills3.2k2 repos~3.2kAutomated safety check: PassApache-2.0
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Model AssessmentAperivue/medsci-skills3291 repos~4.5kAutomated safety check: PassMIT
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Research Proposalluwill/research-skills857—~4.4kAutomated safety check: NotesNone

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Questions about Stroke

What does Stroke do?

A skill your agent uses when targeting Stroke or deciding whether a cerebrovascular-disease study fits this venue. Stroke is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Stroke or deciding whether a cerebrovascular-disease study fits this venue.

When should I use Stroke?

Stroke fits situations like: targeting Stroke; deciding whether a cerebrovascular-disease study fits this venue.

How do I install Stroke in Claude Code?

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

How do I install Stroke in Codex?

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

Can I use Stroke 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 stroke -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stroke, .gemini/skills/stroke, .github/skills/stroke and .opencode/skills/stroke in your project.

What does Stroke need to run?

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

Does Stroke 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 Stroke 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 Stroke use?

Stroke 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 Stroke use?

About 2k tokens (SKILL.md is roughly 8k 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 Stroke?

Skills that share tags, products or a category with Stroke: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Model Assessment (Aperivue/medsci-skills, 329 stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stroke?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,216 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.