'dach' 검색 결과

Step-by-step guidance for DACH-specific governmental procedures including Anmeldung, Finanzamt registration, health insurance enrollment, and social security coordination. Use after arriving in a DACH country and needing to complete mandatory registrations, before a specific appointment to understand what to expect, when an initial registration attempt was rejected, when transitioning between DACH countries, or when handling registrations for dependents alongside your own.

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Draft freelance contracts, project proposals, and confidentiality agreements with clauses tailored to US, EU, UK, or DACH contexts. Organize scope, payments, ownership, and deliverables in Markdown, with instructions for conversion to Word.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a contract for a new freelance engagement
• Preparing a client proposal with budget and timeline
• Defining deliverables and acceptance criteria

Plan a complete EU/DACH relocation timeline with dependency mapping between bureaucratic steps, deadline tracking, and country-specific procedure identification. Use when planning a move between EU/DACH countries, relocating from a non-EU country to an EU/DACH destination, coordinating employment-based relocation with employer HR, managing a relocation with tight deadlines, or when needing a single document that maps the entire relocation process end-to-end.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Help small business owners get started with Claude by guiding two tool connections and trying a task tied to their main concern. Capture business context, suggest relevant skills, and establish a weekly check-in routine.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start using Claude for business tasks
• Connect tools already used in daily operations
• Save business context and choose initial skills

Cultural adaptation for translated content. Run AFTER blog-translate completes. Adjusts brand examples, CTAs, legal references, and formality for the target market (German, French, Japanese, Spanish, etc.). Deep cultural adaptation of translated blog posts. Goes beyond translation to swap brand examples, adapt CTAs, substitute legal references, localize statistic sources where possible, and adjust formality (Sie/du, tu/vous, formal/informal). Built-in profiles for DACH, Francophone, Hispanic, and Japanese markets, plus a custom-locale template. Makes content feel locally authored, not translated. Use when user says "localize blog", "blog localize", "cultural adaptation", "adapt for Germany", "adapt for France", "lokalisieren", "localiser", "adaptar".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deep cultural adaptation of an already translated blog post for one target market: local examples, CTAs, legal references, statistic sources, and formality (Sie/du, tu/vous). Built-in profiles for DACH, Francophone, Hispanic, and Japanese markets. Use when the user says "localize blog", "cultural adaptation", "adapt for Germany", "lokalisieren", "localiser", "adaptar" and a translation already exists. Not for translating (use blog-translate), auditing a folder of translations (use blog-locale-audit), or the full write-translate-localize pipeline (use blog-multilingual).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Given a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate business documents — contracts, proposals, SOWs, NDAs, MSAs — with jurisdiction-aware clauses for US, EU, UK, and DACH. Use when starting client engagements, writing proposals, drafting agreements, or needing GDPR-compliant DPAs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Assess, report, and manage serious incidents involving high-risk AI systems under Article 73 EU AI Act. Covers incident qualification, deadline buckets (2/10/15 days), authority notification, deployer duties (Art. 26(5)), cross-regulation mapping (GDPR/NIS2/MDR), corrective measures, and DACH-specific routing. Use when asked to evaluate whether an AI incident is reportable, draft an Article 73 notification, identify the right authority, or build an AI incident response process.

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Assess compliance with the EU General-Purpose AI (GPAI) Code of Practice under the AI Act (Regulation (EU) 2024/1689). Use when asked to determine GPAI model provider obligations, assess Code of Practice compliance, evaluate transparency or copyright requirements for GPAI models, check systemic risk obligations, build a GPAI compliance roadmap, or prepare for AI Office requests. Covers all three Code chapters (Transparency, Copyright, Safety & Security), the 12 commitments and their measures, systemic risk classification (Article 51), provider obligations (Articles 53 and 55), open-source exemptions, enforcement timeline, Commission/AI Office supervision, and DACH-specific overlays such as BSI cybersecurity and works council implications. Triggers on phrases like "GPAI compliance", "Code of Practice assessment", "GPAI model obligations", "systemic risk evaluation", "AI Act transparency requirements", "GPAI copyright policy", "general-purpose AI compliance".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Classify AI systems under the EU AI Act (Regulation (EU) 2024/1689) and determine compliance obligations. Use when asked to assess AI risk level, check if an AI system is prohibited, determine high-risk status, identify GPAI model obligations, map provider/deployer responsibilities, or build an AI Act compliance roadmap. Covers the full classification decision tree (Prohibited → High-Risk → Limited → Minimal → GPAI), obligations by role (provider, deployer, importer, distributor), compliance timelines, and DACH-specific considerations (German works council, BaFin, BSI, BNetzA). Triggers on phrases like "classify this AI system", "is this high-risk under the AI Act", "AI Act risk assessment", "EU AI Act compliance", "prohibited AI practice", "GPAI obligations", "AI Act timeline".

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Assess whether a Fundamental Rights Impact Assessment (FRIA) is required under Article 27 EU AI Act, and structure or draft that assessment for a specific high-risk AI deployment. Covers deployer scope gating (public bodies and private entities providing public services), affected group mapping, Charter rights analysis, proportionality, safeguards evaluation, residual risk, DPIA/FRIA cross-referencing under the amended Article 27(4), the unconditional notification duty under Article 27(3), and DACH-specific considerations. Use when asked about FRIA obligations, Article 27 scope, fundamental rights and AI, or deployer assessment duties.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cultural adaptation for translated content. Run AFTER blog-translate completes. Adjusts brand examples, CTAs, legal references, and formality for the target market (German, French, Japanese, Spanish, etc.). Deep cultural adaptation of translated blog posts. Goes beyond translation to swap brand examples, adapt CTAs, substitute legal references, localize statistic sources where possible, and adjust formality (Sie/du, tu/vous, formal/informal). Built-in profiles for DACH, Francophone, Hispanic, and Japanese markets, plus a custom-locale template. Makes content feel locally authored, not translated. Use when user says "localize blog", "blog localize", "cultural adaptation", "adapt for Germany", "adapt for France", "lokalisieren", "localiser", "adaptar".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Organische Social-Media-Inhalte für Deutschland und den DACH-Raum planen, verfassen, wiederverwenden, prüfen und messen. Nutze diesen Skill, wenn Posts, Redaktionspläne, Content-Serien oder Kanalstrategien für LinkedIn, X, Instagram, TikTok, Facebook, YouTube oder Mastodon entstehen sollen, wenn vorhandene Inhalte für Social wiederverwendet werden, oder wenn ein Beitrag auf Werbekennzeichnung, Persönlichkeits- und Markenrechte, Alt-Texte und aktuelle Plattformregeln geprüft werden soll. Deckt Briefing, Evidenz, Formatwahl, Interaktion und Messung ab. Nicht für bezahlte Kampagnen und nicht für das tatsächliche Veröffentlichen.

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Technische, inhaltliche und internationale SEO-Probleme für Deutschland und den DACH-Raum prüfen und priorisieren. Nutze diesen Skill bei Ranking- oder Trafficeinbrüchen, bei Problemen mit Crawling, Indexierung, Rendering, Canonicals, Weiterleitungen, Ladezeit, interner Verlinkung, hreflang oder lokaler Sichtbarkeit, vor und nach Migrationen und Relaunches, und wenn Befunde aus der Search Console eingeordnet werden sollen. Liefert reproduzierbare Evidenz statt Vermutungen, trennt Beobachtung von Hypothese und bleibt lesend: produktive Änderungen brauchen eine gesonderte Freigabe.

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B2B-Outreach-E-Mails im deutschen und DACH-Kontext konservativ entwerfen und prüfen. Nutze diesen Skill für Kaltakquise-Mails, Nachfassnachrichten, Betreffzeilen und Outreach-Sequenzen an Geschäftskontakte, und für die vorgelagerte Frage, ob eine geplante Ansprache überhaupt zulässig ist. Prüft § 7 UWG, die kumulativen Voraussetzungen der Bestandskundenausnahme nach § 7 Abs. 3 UWG, Herkunft der Kontaktdaten und Sperrlisten; Österreich und Schweiz werden getrennt behandelt. Liefert ausschließlich Entwürfe mit sichtbarem Versandblocker: kein Versand, keine Terminierung, kein Kontaktimport. Keine Rechtsberatung.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Marketingbilder rechtebewusst planen, erzeugen, bearbeiten, optimieren und prüfen. Nutze diesen Skill für Bildbriefings, Produktscreenshots und Mock-ups, generative Bilder, Stock- und Lizenzrouten, Bildbearbeitung, Formate und Komprimierung sowie deutsche Alt-Texte. Klärt Herkunft und Nutzungsrechte vor der Produktion, beachtet Persönlichkeits-, Marken- und Urheberrecht, verlangt Kennzeichnung wo nötig und schließt erfundene Produktansichten und unbelegte Bildaussagen aus. Nicht gedacht für Logos, Design-Systeme und Layoutarbeit.

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Sichtbarkeit, Zitierung und Empfehlung in KI-Antwortsystemen für Deutschland und den DACH-Raum evidenzbasiert prüfen und verbessern. Nutze diesen Skill, wenn eine Marke oder Seite in KI-Overviews, ChatGPT, Perplexity, Gemini oder Copilot auftauchen soll, wenn Crawler-Freigaben für KI-Bots, llms.txt, strukturierte Daten oder die Extrahierbarkeit von Inhalten zu bewerten sind, oder wenn jemand nach AEO, GEO oder LLMO fragt. Trennt Abruf, Zitierung, Erwähnung und Empfehlung, prüft Behauptungen über KI-Rankingfaktoren gegen Primärquellen und verspricht keine Sichtbarkeit. Für klassisches technisches SEO ist seo-audit zuständig.

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Belegte, objektive Wettbewerbsvergleiche und Alternativseiten für den deutschen und DACH-Markt erstellen. Nutze diesen Skill für Seiten der Form „X-Alternative“, „X-Alternativen“, „Produkt vs. X“ oder „A vs. B“, für interne Competitive-Unterlagen und Battlecards, und wenn ein vorhandener Vergleich auf Symmetrie und Belege geprüft werden soll. Führt ein Aussagen- und Quellenverzeichnis, hält Preisangaben mit Stichtag fest, prüft § 6 UWG und Markenrecht konservativ und benennt bestätigte Trade-offs statt einseitiger Vorteile. Für das Profil eines einzelnen Anbieters ohne Vergleichsseite: competitor-profiling.

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Verify document completeness for each bureaucratic step of an EU/DACH relocation, flagging missing items and translation requirements. Use after creating a relocation plan and before beginning bureaucratic procedures, when preparing for a specific appointment (Buergeramt, Finanzamt), when unsure which documents need certified translation or apostille, after receiving a rejection or request for additional documents, or as a periodic check during the relocation process to ensure nothing has been overlooked.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate production-ready business documents including freelance contracts, project proposals, SOWs, NDAs, and MSAs with jurisdiction-aware clauses. Covers US (Delaware), EU (GDPR), UK, and DACH (German law) legal frameworks. Includes contract templates, clause libraries, and DOCX conversion. Use when starting client engagements, writing proposals, drafting partnership agreements, or needing GDPR-compliant data processing addenda.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Deep cultural adaptation of an already translated blog post for one target market: local examples, CTAs, legal references, statistic sources, and formality (Sie/du, tu/vous). Built-in profiles for DACH, Francophone, Hispanic, and Japanese markets. Use when the user says "localize blog", "cultural adaptation", "adapt for Germany", "lokalisieren", "localiser", "adaptar" and a translation already exists. Not for translating (use blog-translate), auditing a folder of translations (use blog-locale-audit), or the full write-translate-localize pipeline (use blog-multilingual).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Dach-Skill für Cloud-gestützte Kommunikationsprotokolle zwischen Agenten auf unterschiedlichen Maschinen (Ping-Pong, agent-beam, Listener und künftige Protokolle). Nutzen, wenn Arbeit über Maschinen hinweg per gemeinsamem Sync-Ordner oder Message-Yard koordiniert wird.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.