'cta' 검색 결과

Estimate SNP heritability and partition it across functional annotations, cell types, and loci from GWAS summary statistics or individual-level genotypes. Implements LDSC, stratified LDSC with the baseline-LD model, Finucane 2018 cell-type prioritization, LDAK SumHer, HDL, HESS local heritability, BOLT-REML, GCTA-GREML, graphREML, and Popcorn cross-population genetic correlation. Use when computing total h2_SNP from summary stats, partitioning heritability across functional categories, prioritizing trait-relevant tissues or cell types from ENCODE/Roadmap chromatin marks, reconciling LDSC vs LDAK enrichment estimates, computing local heritability with HESS, estimating genetic correlation between traits, or producing publication-grade enrichment with calibrated sensitivity to model assumptions.

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Genera tickets profesionales de soporte para Meta Business Suite / WhatsApp Business API optimizados para recibir prioridad URGENTE 24hr resolution. Úsala SIEMPRE que el usuario mencione crear un ticket a Meta, escalar un caso WABA, apelar un ban o restricción, reportar un false positive, abrir caso de soporte WhatsApp Business, problema de onboarding, rechazo de template, errores de Cloud API, OTP delivery, verification stuck, BM restricted, display name rejection, o cualquier issue de una WhatsApp Business Account. También activa cuando el usuario dice frases como "ayúdame a redactar un caso para Meta", "necesito reportar esto a soporte", "hay que escalar esto a WhatsApp", "ticket para Meta", o describe un problema de una cuenta de cliente de Vambe sin pedir ticket explícitamente pero claramente necesita uno. También activa ante preguntas del tipo "¿cómo apelar esto?" o "¿qué hago si Meta dice X?" relacionadas con WABA, BM o verificación.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Chinese-first AI image-generation tool landing template — TwelveMei-style centered hero with floating icon-island nav, FlyFlowerSong serif display headline, textured pill CTAs, glass canvas mockup of the tool itself, monochrome ink palette. Built for Chinese creative-tool / generative-image / AI-工具 product pages aimed at designers and editors, not loud growth-marketing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a single-file product landing page with a layered ASCII cosmos hero (rotating ASCII planet, drifting irregular asteroids, comet trails, nebula gas clouds — each in its own harmonious color) plus full marketing sections (about / features grid / showcase / spec / pricing / CTA / footer). Takes a natural-language description of one product (any kind — a note app, a coffee subscription, a CLI tool, an indie hardware, a hosting service…) and outputs ONE working .html file with deep-space dark or warm-letterpress theme. Runs in BOTH Claude Code (writes to ~/Desktop) and GLM / online chat (outputs HTML inline). Trigger phrases: "做个宇宙风产品落地页", "生成 ASCII 产品官网", "ascii-cosmos-gen ...", "做个独立软件 / 独立硬件落地页", or when user drags this skill folder into chat asking for an atmospheric product landing page.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compõe a peça final no Figma sobre os ativos gerados — texto, marca, layout e grid. Camada OPCIONAL: use quando houver Figma conectado e o time precisar do arquivo editável. Dispara em "montar no Figma", "compor a peça", "colocar o texto na imagem", "aplicar a marca", "arquivo editável". Sem Figma, entrega especificação de composição.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design traceable functional test conditions across positive, negative, boundary, and error behavior with observable expectations.

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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Escreve ou reescreve copy de páginas de marketing — home, landing page, página de preço, de produto, de funcionalidade, institucional. Use quando o usuário disser "escrever copy", "criar landing page", "reescrever essa página", "preciso de headline", "melhorar o CTA", "copy do site", "texto da home". Para e-mail use copy-email; para anúncio use copy-ads; para revisar texto pronto use copy-review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," "CTA copy," "value proposition," "tagline," "subheadline," "hero section copy," "above the fold," "this copy is weak," "make this more compelling," or "help me describe my product." Use this whenever someone is working on website text that needs to persuade or convert. For email copy, see email-sequence. For popup copy, see popup-cro. For editing existing copy, see copy-editing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs or reviews CLIs so coding agents can run them reliably: non-interactive flags, layered --help with examples, stdin/pipelines, fast actionable errors, idempotency, dry-run, and predictable structure. Use when building a CLI, adding commands, writing --help, or when the user mentions agents, terminals, or automation-friendly CLIs.

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Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

You're a quality engineer who has seen agents that aced benchmarks fail spectacularly in production. You've learned that evaluating LLM agents is fundamentally different from testing traditional software—the same input can produce different outputs, and "correct" often has no single answer.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Profiles a genome from raw reads BEFORE assembly with a k-mer spectrum (KMC or Jellyfish histogram), then models it with GenomeScope2 to estimate genome size, heterozygosity, repeat content, and ploidy, and Smudgeplot to infer ploidy from heterozygous k-mer pairs (diploid AB vs triploid AAB vs tetraploid AABB). Covers choosing k via Merqury best_k.sh, the k-mer-coverage vs sequencing-coverage confusion, reading het/repeat/contamination/organelle peaks, why noisy ONT must not be used for counting, and how the estimate becomes the NG50 denominator, the Flye -g value, the hifiasm --hom-cov/purge setting, and the 1.5-2x-too-big haplotig sanity check. Use when starting any de novo assembly, deciding whether short reads can work, estimating genome size for an unknown organism, diagnosing ploidy, or sanity-checking an assembly's size against expectation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Defines cell populations in flow and spectral cytometry through manual gates (rectangle, polygon, quadrant, boolean) and reproducible automated gating (openCyto gating templates, flowDensity data-driven thresholds, flowClust model-based gates), organized as a hierarchical GatingSet (flowWorkspace) and round-tripped with FlowJo via CytoML. Covers the canonical gate order (time -> debris -> singlets -> live -> lineage), FMO-vs-isotype boundary setting, gate-order dependence and recompute semantics, rare-event/MRD gating, and per-population statistics. Use when building a gating strategy, automating a manual FlowJo scheme across samples, choosing manual vs data-driven gates, or extracting population frequencies.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Corrects the gene-independent copy-number artifact in CRISPR-Cas9 screens (Aguirre 2016 / Munoz 2016 Cancer Discov) where amplified loci appear essential from DNA-damage burden of simultaneous cuts. Covers the p53-dependent G2-arrest mechanism, CRISPRcleanR (Iorio 2018) unsupervised pre-hoc correction, CERES (Meyers 2017) joint CN + gene-effect model, Chronos (Dempster 2021) DepMap-standard population-dynamics + CN model with lowest residual bias, the decision tree by data availability, the Spearman LFC-vs-CN diagnostic, focal-amplification examples (ERBB2 in HER2+, MYC in colorectal, FGFR1 in head and neck), and CRISPRi/a alternatives that bypass the artifact. Use when screening cancer cell lines, diagnosing essentiality at amplified loci, choosing CRISPRcleanR / CERES / Chronos, deciding whether CN correction is needed before MAGeCK / BAGEL2 / drugZ, or switching from Cas9 to CRISPRi.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Estimate SNP heritability and partition it across functional annotations, cell types, and loci from GWAS summary statistics or individual-level genotypes. Implements LDSC, stratified LDSC with the baseline-LD model, Finucane 2018 cell-type prioritization, LDAK SumHer, HDL, HESS local heritability, BOLT-REML, GCTA-GREML, graphREML, and Popcorn cross-population genetic correlation. Use when computing total h2_SNP from summary stats, partitioning heritability across functional categories, prioritizing trait-relevant tissues or cell types from ENCODE/Roadmap chromatin marks, reconciling LDSC vs LDAK enrichment estimates, computing local heritability with HESS, estimating genetic correlation between traits, or producing publication-grade enrichment with calibrated sensitivity to model assumptions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to understand defensive driving course expectations for CMV drivers. Covers federal vs state vs carrier-specific requirements.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.