author-page
Scaffold or draft new MetaMask documentation to editorial standards. Use when creating a new page, writing a first draft, or helping a non-writer meet the documentation team's expectations.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Scaffold or draft new MetaMask documentation to editorial standards. Use when creating a new page, writing a first draft, or helping a non-writer meet the documentation team's expectations.
Review MetaMask documentation for editorial compliance (voice, terminology, formatting, content type, frontmatter, workflow). Use before submitting a PR or when asked to audit existing pages.
Estimate codebase cost-to-build, AI-assisted ROI, and fair-market valuation
Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.
Reframe and polish imaging-AI / radiomics / radiogenomics research as a research grant proposal — convert paper-style "we built a model" into grant logic (clinical need → scientific question → hypothesis → specific aims/研究内容 → technical route/技术路线 → innovation/创新点 → feasibility/可行性 → expected outcomes), and strengthen title, abstract, background/立项依据, aims, key scientific question/关键科学问题, and significance. Primary and most-developed track is NSFC (国家自然科学基金: 青年/面上/地区) and provincial funds (省自然); also covers reframing the same proposal for international funders (NIH R01, ERC Starting/Consolidator/Advanced, Wellcome Trust) including realistic eligibility for China-based applicants and cross-border routes (NSFC international collaboration line, RGC, MSCA, foundations). Use when the user mentions 国自然/省自然/基金申请/标书/立项依据/科学问题/技术路线/创新点/可行性, NIH/R01/ERC/Wellcome/国际基金, or wants to turn a study into a fundable proposal for any of these. Flags weak innovation, thin preliminary data, open-loop technical routes, over-promising, and funder-eligibility mismatches. Reminds the author to verify the current official guidelines; never fabricates preliminary results, citations, or eligibility.
Polish finished imaging-research prose to Radiology (RSNA), Nature-portfolio/npj, European Radiology, NEJM, Science, or Lancet-family house style: concise sentences, correct tense, precise statistical reporting, venue-specific p-value/number/reference style, AI/data-sharing declarations, abbreviation control, and overclaim/causal-language detection. Uses The Lancet Digital Health guide as the default Lancet-series proxy. Use when the user wants to tighten, copyedit, or align existing paragraphs to a target journal style, not draft new content. Returns clean copy-paste prose plus a short change log; never alters reported numbers or invents content.
Draft, audit, and revise point-by-point reviewer response letters for Radiology (RSNA) and imaging-journal revisions. Use when the user has reviewer comments / a major or minor revision / 审稿意见 to answer for an imaging-AI/radiomics/radiogenomics manuscript. Assigns each comment a stable ID, classifies it, maps it to a concrete manuscript action, and ties every claimed change to a specific location — without fabricating experiments, analyses, citations, line numbers, or results. Bilingual-aware (中文作者备注 → English response + Chinese confirmation items).
Draft or rebuild imaging-AI / radiomics / radiogenomics manuscript sections for Radiology (RSNA), Nature-portfolio/npj, European Radiology, NEJM, Science, or Lancet-family style from author-provided results, figures, notes, or Chinese drafts. Enforces the target venue's manuscript shape: Radiology Summary/Key Results, Nature-style broad scientific narrative, European Radiology key points/clinical relevance, NEJM four-part clinical abstract and SAP rigor, Science compact display-item story, or Lancet-series Research in context and AI/data transparency using The Lancet Digital Health guide as the default proxy. Use when the user wants to write or restructure imaging-research prose, not just polish it. Never invents data, metrics, or citations.
Generate the R Weekly Highlights Poll Slack text. Parses draft.md for all links, presents them for editor selection, then formats two /poll Slack commands (5 items each). Use when an editor wants to create the highlights poll for the
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