「art」の検索結果

Bootstrap a new or existing project with a small, file-based documentation system so Claude Code keeps context, lessons, and decisions across session restarts instead of starting cold every time. Sets up a handful of markdown files under .claude/ (standing rules, a free-form note to your next session, a phased roadmap, a prioritized backlog, and searchable history/changelog archives) sized and split so the files read every session stay small while the archives grow without ever costing context. Use this whenever someone is starting a new project and asks how to structure it for long-running AI-assisted work, wants Claude to "remember" things between sessions without relying on chat history, asks for a CLAUDE.md + backlog + changelog setup, mentions "session continuity", "persistent context", "project memory system", or is retrofitting an existing codebase that has no such system yet. Also use to explain or extend an already-bootstrapped bottle system (add a rule, start the archival script, add a new backlog section).

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。

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

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。

Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why.

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。

Functional error handling in Dart using the fpdart package with Either, Option, TaskEither, and Do notation. Use when replacing try-catch with type-safe error handling or composing async operations functionally.

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。

Builds SEO-friendly web applications with Dart using the Jaspr framework. Use when creating Dart-based websites, blogs, or landing pages requiring semantic HTML output; implementing server-side rendering (SSR) or static site generation (SSG); adding Tailwind CSS via jaspr_tailwind; routing with jaspr_router; testing components with jaspr_test; or building full-stack Dart web apps where Flutter Web's canvas rendering is unsuitable.

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。

Calculate and schedule quarterly estimated tax payments (Form 1040-ES) for self-employed individuals. Covers self-employment tax calculation (15.3%), income tax estimation, safe harbor rules (100%/110% of prior year), payment deadlines, and underpayment penalties. Trigger on "estimated taxes", "quarterly taxes", "1040-ES", "how much should I pay quarterly", "self-employment tax", "avoid tax penalty".

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。

Discover, buy, track, and return real products from Walmart (walmart.com) through the Zinc API (zinc.com) — and from almost any other US retailer on the same API. Needs no account to begin — the agent mints its own test key, then earns a live key and a $5 starter credit once its operator approves it. Pay from a pre-funded wallet, per request over MPP or x402, or with a Stripe Link card.

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。

Use when working with Gcp Artifact Registry — google Artifact Registry repository management, vulnerability scanning analysis, cleanup policy configuration, and artifact lifecycle management via gcloud CLI.

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。

Civic tech — transparence, open data, participation citoyenne, budgets participatifs

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。

Expert en ASCII art & vidéo (pyfiglet, image-to-ASCII, video-to-ASCII, colored output)

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。

Start a new composition: project init, brainstorm, then ask whether graph or startcycle follows. Generated from plugin-commands.json; invoke as $bdb-aos:startproject.

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 track App Store chart rank changes, find top gainers and losers, detect breakout apps entering the top 100, or identify apps dropping out of charts. Also use when the user mentions "chart movers", "rank changes", "who's rising", "who's falling", "new chart entries", "top gainers", or "market shifts". For broader market overview, see market-pulse. For competitive keyword analysis, see competitor-analysis.

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。

Use this skill when starting a new session, opening this project for the first time, or when you need to recall the project's tech stack, hard rules, and which other skills exist. Trigger words: セッション開始, このプロジェクト, 全体像, どのスキル, 何から, getting started, overview.

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

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。

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

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。

Secure Helm chart Dağıt:ments by validating chart integrity, scanning templates for misconfigurations, and enforcing security contexts in Kubernetes releases.

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。

Help the user understand the current topic visually with concise diagrams, code-shape sketches, and focused HTML artifacts. Use when the user asks to show / diagram / visualize / sketch / illustrate what is going on, asks "what does this look like", "how does this flow", "show me the structure", or in Japanese 図で見せて / 図解して / 図にして / 構造を見せて / フローを見せて / 全体像を見せて / どうつながってるか見せて. Also use it proactively when an explanation is running long and a call tree, file tree, component tree, diff, Mermaid diagram, or a small HTML artifact would land faster than prose.

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

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。

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

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。

Windows アプリ開発 (MSIX / Microsoft Store) のパッケージング・配置・公開リファレンス。 MSIX, AppxManifest, MakeAppx, MSIX Packaging Tool, Package Bundles, App Attach, Package Support Framework, Package Identity, PackageFamilyName, PackageManager, スパースパッケージ, App Installer, サイドローディング, Windows App SDK Bootstrapper, 自己完結型デプロイ, SignTool, Azure Trusted Signing (Azure Artifact Signing), 証明書, CI/CD 署名, Partner Center, アプリ送信, 年齢レーティング, ストアリスティング, 段階的ロールアウト, StoreContext, msstore CLI, 認定プロセス, 分析レポート。

日本語のUI文言（ボタン・見出し・ラベル・入力欄の説明・空状態・エラー・確認ダイアログ・完了通知・チャットbotの応答文）を書く・直すときの規則。画面やbotがユーザーに見せる日本語を新しく書く時、既存の文言を見直す・統一する時、英語のまま残った表示を日本語にする時、サーバーのエラーメッセージを画面に出す経路を作る時に使用。公開されている日本語UIガイドライン（SmartHR・デジタル庁・Microsoft・Apple・公用文）の一致点を規則にし、食い違う点は採否と理由を定めてある。境界: 人に宛てた文章（PR本文・メッセージ・ドキュメント）は ukwhatn-writing、画面に何を出すかと提示前の完了基準は context/ui-artifact-standards.md、ナビゲーション・重ね方・通知の型とレイアウトは designing-ui、コードの実装原則は writing-code。

Detects TAD boundaries from balanced Hi-C contact matrices via the diamond-window insulation score (cooltools insulation) and HiCExplorer hicFindTADs, returning a continuous log2 insulation track, valley-prominence boundary_strength, and Li/Otsu-thresholded is_boundary flags across a list of window sizes. Covers the multi-scale window sweep (sub-TAD to compartment-domain), why the boundary is reproducible but the domain partition is not, cross-condition comparison via differential SCORE not differential partition, and the insulation-vs-compartment orthogonality. Use when calling TADs or domain boundaries, computing insulation scores, choosing a window size, ranking boundary strength, comparing boundaries across conditions, or annotating CTCF-backed boundaries; route domain rendering to hic-visualization and boundary-feature overlap to genome-intervals.

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 essential genes from CRISPR-Cas9 fitness screens using BAGEL2 (Kim & Hart 2021 Genome Med), a Bayesian classifier scoring per-gene Bayes Factors via log-likelihood ratios over per-sgRNA fold changes, calibrated against CEGv2 core-essentials (Hart 2017 G3, ~684 genes) and NEGv1 non-essentials (Hart 2014, ~927 genes). Covers the fc + bf + pr workflow, the linear-extrapolation improvement over BAGEL1 truncation, multi-target off-target correction, tumor-suppressor sensitivity (BAGEL2 detects enrichment), and BF-to-FDR calibration (BF >6 ≈ FDR 0.05 from Hart 2017). Use when classifying essential vs non-essential genes, calibrating BAGEL2 thresholds against PR curves, identifying tumor suppressors alongside essentials, comparing BAGEL2 hits to MAGeCK / drugZ, or generating publication-quality essentiality calls.

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。

Generate 5–10 business idea candidates from a blank page or a founder's domain context — using pain mining, jobs-to-be-done, trend × capability mapping, constraint relaxation, adjacency search, and founder-market-fit prompts. Each candidate is a structured idea card (segment, JTBD, current alternative, why-now, distribution wedge, monetisation, "feels like"). Load when the user asks to generate business ideas, brainstorm startup ideas, find ideas to work on, says "what business should I start", "give me startup ideas", "I don't know what to build", "ideate ventures", "blank-page idea generation", "find me a startup idea", "explore business opportunities". Sub-skill of `venture-exploration`. Hard-bans "Uber for X" / "AI for X" with no specific JTBD, "everyone" segments, and idea cards missing any of the 7 required fields. Does NOT design or evaluate ideas generated — for that use `idea-evaluation`.

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。