「copy」の検索結果

Generate a single-file VR-style portfolio website — works are tiled on the inside of a 3D cylinder/sphere (concave wraparound, like an immersive headset), with mouse-controlled head tilt, long-press to drag and browse the infinite canvas, click to open work detail. Includes overlays for About / CV / Contact / Filter. Takes a natural-language description of the studio and works (images + brief copy); outputs ONE working .html file. Runs in BOTH Claude Code (writes to ~/Desktop) and GLM / online chat (outputs HTML inline). Trigger phrases: "做个 VR 作品集", "做个无限画布作品集", "做个穹顶包裹的作品集", "vr-canvas-gen ...", or when user drags this skill folder into chat asking for a wraparound/immersive portfolio site.

日本語の概要は準備中です。原文の説明を表示しています。

Monta carrossel completo — estrutura de slides, hierarquia por slide e construção no Figma como componente com variantes. Use quando o usuário disser "carrossel", "slides", "carrossel do LinkedIn", "carrossel do Instagram", "post em sequência", "documento do LinkedIn". Recebe a copy slide a slide e entrega frames montados e revisados.

日本語の概要は準備中です。原文の説明を表示しています。

Identifica padrões entre muitas peças de copy — quais ganchos, ângulos, formatos, temas e horários rendem mais. Use quando o usuário disser "o que funciona melhor", "qual padrão", "por que uns posts vão bem e outros não", "analisar histórico", "o que devo fazer mais", "tendência do conteúdo". Exige volume: abaixo de 20 peças, o resultado é observação, não padrão.

日本語の概要は準備中です。原文の説明を表示しています。

Define, documenta e aplica a voz da marca — formalidade, personalidade, vocabulário preferido, palavras proibidas e tratamento do leitor. Use quando o usuário disser "voz da marca", "tom de voz", "brand voice", "guia de estilo", "padronizar o tom", "não parece nossa marca", "manual de redação", ou quando precisar auditar se um texto está aderente. Extrai a voz de amostras reais em vez de inventar adjetivos, e grava o resultado na seção 5 de .claude/pwdev-copy-context.md para todas as demais skills consumirem.

日本語の概要は準備中です。原文の説明を表示しています。

Otimiza a estrutura e a conversão de páginas de marketing — hierarquia, ordem das seções, posicionamento de CTA, sinais de confiança e pontos de atrito. Use quando o usuário disser "CRO", "essa página não converte", "melhorar conversão", "por que ninguém clica", "otimizar a landing". Cuida de estrutura; para reescrever o texto ver copy-page.

日本語の概要は準備中です。原文の説明を表示しています。

Produz variações de anúncio para Google, Meta, LinkedIn e TikTok Ads, com matriz de ângulos e limites de caractere por posicionamento. Use quando o usuário disser "anúncio", "criativo", "Google Ads", "Meta Ads", "tráfego pago", "variações de anúncio", "headline de anúncio".

日本語の概要は準備中です。原文の説明を表示しています。

Estrutura narrativa para copy — PAS, BAB, AIDA, PASTOR, Jornada do Herói e Golden Circle. Use quando o usuário disser "storytelling", "contar a história", "narrativa da marca", "o texto está sem fio condutor", "case de sucesso", ou quando a página precisar de narrativa em vez de argumento listado.

日本語の概要は準備中です。原文の説明を表示しています。

Escreve roteiros de vídeo e VSL — gancho, abertura, desenvolvimento, prova, CTA e fechamento, com marcação de tempo e indicação visual. Use quando o usuário disser "roteiro", "VSL", "script de vídeo", "vídeo de vendas", "reels", "roteiro para YouTube".

日本語の概要は準備中です。原文の説明を表示しています。

Transforma uma peça de conteúdo em várias — case em thread, webinar em posts, artigo em carrossel, vídeo em cortes. Use quando o usuário disser "reaproveitar", "transformar isso em", "adaptar para", "repurpose", "derivar conteúdo", "aproveitar melhor esse material", "do blog para as redes", ou apresentar material longo pedindo derivados. Produz peça nativa de cada canal, nunca copia e cola.

日本語の概要は準備中です。原文の説明を表示しています。

Interpreta métricas de copy e aponta o que fazer — conversão de landing, abertura e clique de e-mail, CTR e CPA de anúncio, engajamento de social. Use quando o usuário disser "analisar desempenho", "como foi a campanha", "os números do mês", "essa página não converte", "taxa de abertura caiu", "relatório de performance", ou colar métricas pedindo leitura. Não recomenda mudanças — ver perf-optimize.

日本語の概要は準備中です。原文の説明を表示しています。

Escreve sequências e e-mails isolados — onboarding, nutrição, recuperação de carrinho, lançamento, newsletter e cold email. Use quando o usuário disser "e-mail marketing", "sequência de e-mails", "newsletter", "cold email", "fluxo de nutrição", "recuperação de carrinho", "automação de e-mail".

日本語の概要は準備中です。原文の説明を表示しています。

When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tool-strategy. For writing the actual content, see copywriting. For the email sequence after capture, see email-sequence.

日本語の概要は準備中です。原文の説明を表示しています。

When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," "content planning," "editorial calendar," "content marketing," "content roadmap," "what content should I create," "blog topics," "content pillars," or "I don't know what to write." Use this whenever someone needs help deciding what content to produce, not just writing it. For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit. For social media content specifically, see social-content.

日本語の概要は準備中です。原文の説明を表示しています。

Write B2B cold emails and follow-up sequences that get replies. Use when the user wants to write cold outreach emails, prospecting emails, cold email campaigns, sales development emails, or SDR emails. Also use when the user mentions "cold outreach," "prospecting email," "outbound email," "email to leads," "reach out to prospects," "sales email," "follow-up email sequence," "nobody's replying to my emails," or "how do I write a cold email." Covers subject lines, opening lines, body copy, CTAs, personalization, and multi-touch follow-up sequences. For warm/lifecycle email sequences, see email-sequence. For sales collateral beyond emails, see sales-enablement.

日本語の概要は準備中です。原文の説明を表示しています。

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," or "how long should I run this test." Use this whenever someone is comparing two approaches and wants to measure which performs better. For tracking implementation, see analytics-tracking. For page-level conversion optimization, see page-cro.

日本語の概要は準備中です。原文の説明を表示しています。

Execute AEM Edge Delivery Services admin operations - list admins, add/remove users, preview, publish, unpublish content, clear cache, sync code, reindex, generate sitemap, manage snapshots, view logs, manage jobs, list sites, configure org/site settings, manage secrets and API keys. Also supports Document Authoring (DA) operations via admin.da.live - list/get/put content, copy, move, delete, versioning, and DA-specific preview/publish. Use for any Edge Delivery Services administrative task.

日本語の概要は準備中です。原文の説明を表示しています。

Create any visual design using Adobe Express templates — including flyers, posters, banners, social media posts (Instagram stories, Facebook posts, LinkedIn graphics), business cards, invitations, greeting cards, resumes, cover letters, brochures, newsletters, certificates, presentations, YouTube thumbnails, email headers, logos, menus, labels, and more. Use this skill whenever the user wants to make, design, create, or build any visual — even if they just say "make me a flyer", "design a poster", "I need something for Instagram", "create an event invite", "make a business card", or any similar request. Also handles requests to find or browse templates, edit text/copy, change background colors, or animate a design. Access: 🔐 Signed-In required | Gen AI: ❌

日本語の概要は準備中です。原文の説明を表示しています。

Implement several variations of a design directly inside the running app, on the real page/route, with a live switcher to toggle between them in the browser, then recommend one and fold the winner into the real code. Variants are real implementations judged against real data, layout, and density (not an isolated mockup). Use this skill whenever the user wants to try design options live in the app, prototype changes directly on a real page, add a variant switcher, compare layouts in-context, asks to "build a few versions of this page", "try variants on the real screen", "switch between designs in the app", "implement this with a toggle", or says "real-prototype this". For a safe standalone .html copy that never touches the app, use the prototype skill instead.

日本語の概要は準備中です。原文の説明を表示しています。

Diagnose Sentry issues without copy-pasting stack traces. Uses the Composio CLI to pull issue details, events, breadcrumbs, and suspect commits, then maps the frames to local source so the agent can propose a fix directly.

日本語の概要は準備中です。原文の説明を表示しています。

Discovers, classifies, and masks repetitive elements and transposable elements with RepeatModeler2 (de novo family library), RepeatMasker (masking against a library), EDTA (plant/structural TEs), or EarlGrey (auto-curating wrapper), and quantifies TE expression from RNA-seq with TEtranscripts/SQuIRE. Covers de-novo-library-as-curation-project, soft-vs-hard masking, the domesticated-gene over-masking massacre, Dfam-vs-RepBase, TE classification (Class I/II, family-vs-copy), Kimura repeat landscapes, LAI, and the RNA-seq multimapping problem. Use when masking repeats before gene prediction, building a TE library for a non-model genome, or analyzing transposable-element content or expression.

日本語の概要は準備中です。原文の説明を表示しています。

Balances Hi-C contact matrices (ICE via cooler.balance_cooler, KR/SCALE/VC context), computes distance-decay expected with cooltools (expected_cis per-diagonal P(s), expected_trans scalar), builds observed/expected (O/E) matrices, and diagnoses polymer state from the P(s) log-derivative. Covers the within-matrix-vs-cross-sample distinction (balancing is NOT a normalizer), the equal-visibility assumption that CNV/aneuploidy violates (use raw counts for copy-number), cis-only balancing, mad_max/blacklist masking before balancing, multiplicative cooler weights vs divisive juicer weights, and the resolution-vs-depth budget. Use when balancing a .cool/.mcool, computing expected or P(s), making O/E matrices for compartments/loops, deciding ICE vs KR vs SCALE, choosing a resolution for a given depth, or troubleshooting NaN/all-NaN balanced matrices; route cross-sample comparison to hic-differential.

日本語の概要は準備中です。原文の説明を表示しています。

Compares Hi-C contact maps between conditions across the right scale -- differential bin-pair contacts (multiHiCcompare, diffHic), differential A/B compartments (dcHiC), differential TAD boundaries (delta insulation), and differential loops (diffloop, DiffHiChIP) -- with distance-stratified between-sample normalization, replicate-aware NB-GLM FDR, HiCRep SCC reproducibility gating, and CNV correction for cancer/aneuploid samples. Use when comparing Hi-C between treatment and control, finding differential contacts/compartments/boundaries/loops, normalizing two maps of unequal depth, choosing a replicate-aware test, gating replicates with SCC, or correcting copy-number artifacts before a tumor-vs-normal comparison.

日本語の概要は準備中です。原文の説明を表示しています。

Identifies non-coding RNAs (tRNA, rRNA, snoRNA, snRNA, riboswitches, sRNAs) using Infernal covariance-model search against Rfam, tRNAscan-SE 2.0 for tRNA, barrnap for rRNA, and ARAGORN for tmRNA, plus the small-RNA-seq boundary for miRNA and the transcript-assembly boundary for lncRNA. Covers the structure-conserved-not-sequence-conserved principle (why BLAST fails), GA-threshold and clan-competition correctness, tRNAscan-SE domain modes and pseudogene flags, rDNA copy-number collapse, and why homology annotation is a recall floor. Use when performing genome-wide ncRNA annotation, choosing the right tool for an RNA class, or interpreting ncRNA counts.

日本語の概要は準備中です。原文の説明を表示しています。

Processes eDNA metabarcoding from raw paired-end reads to species tables, navigating ASV (DADA2, UNOISE3) vs OTU (swarm v2) decision (Callahan 2017 vs Schloss multi-copy-16S critique), marker/primer choice (Leray COI, MiFish 12S, 515F/806R 16S, ITS2) with primer-specific bias, OBITools3 v3 command-name break (obi stats plural; .tar.gz taxonomy), tag-jumping with dual-indexing (Schnell 2015; NovaSeq 10x MiSeq), decontam as screening-not-classifier (Davis 2018), read-counts-not-abundance critique (Lamb 2019), site-occupancy modeling (Ficetola 2015), Naive-Bayes calibration limits (Bokulich 2018), and eDNA decay (Strickler 2015). Use when going from raw eDNA FASTQ to species tables, picking marker + denoising pipeline, deciding whether read counts represent abundance, applying occupancy modeling, configuring OBITools3 v3, or interpreting decontam output. Not for clinical 16S microbiome (see microbiome/amplicon-processing).

日本語の概要は準備中です。原文の説明を表示しています。