Analyse systématique d'un Data Processing Agreement (DPA) au regard de l'article 28 RGPD, des lignes directrices EDPB 07/2020 et 02/2024, des CCT 2021 (décision d'exécution 2021/914), des recommandations EDPB 01/2020 (mesures supplémentaires post-Schrems II), et du Règlement (UE) 2024/1689 (Règlement IA). Produit un rapport structuré clause par clause (18 clauses : 13 obligatoires + 5 complémentaires) avec diagnostic 🟢/🟡/🔴, remédiations prêtes à insérer, analyse détaillée des transferts internationaux, vérification Règlement IA, et questions à poser au fournisseur. Triggers : "analyse de DPA", "audit DPA", "vérifier un DPA", "DPA fournisseur", "data processing agreement", "art. 28 RGPD", "sous-traitant RGPD", "négociation DPA", "review DPA", "conformité contrat sous-traitance".
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Archéologie des sources juridiques anciennes via Gallica (BNF, API stables, sans clé) : débats parlementaires du JO depuis 1871 (genèse des lois de la IIIe République), notes d'arrêt et doctrine d'origine dans les recueils Sirey et Dalloz, Bulletins civil et criminel anciens, Recueil Lebon, JO Lois et décrets 1881-2015, thèses et traités du XIXe-début XXe, Gazette des tribunaux, Bulletin de l'Inspection du travail. Déclencher dès que l'utilisateur cherche l'origine historique d'un texte, d'un concept ou d'une jurisprudence : « débats de la loi de 1884 », « note de Josserand », « que disait la doctrine en 1900 », « première apparition de la notion de… », « généalogie / histoire de l'article… », « arrêt ancien », « thèse d'avant-guerre », « Gallica », « BNF », ou toute recherche juridique antérieure aux bases modernes (Légifrance ne remonte pas avant l'époque contemporaine, Judilibre non plus). Déclencher aussi en COMPLÉMENT de travaux-preparatoires quand la loi étudiée est antérieure à 1958.
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Audits a website for compliance with Azerbaijan's Law on Personal Data No. 998-IIIQ and, where applicable, EU GDPR plus ePrivacy/cookie consent rules. Inventories the privacy documents present (privacy policy, cookie policy, cookie banner, consent flow, controller and DPO contact, data subject rights channel, cross-border transfer disclosures, AZ operator-registration references) and scores each against the applicable statutory requirements. Produces a dual-layer report: a plain-language traffic-light summary for business owners plus a clause-by-clause findings table with article-level citations for lawyers. Assessment-only — no drafting. Use whenever the user shares a URL or privacy/cookie policy text for an AZ-based or AZ-targeted site; also when the user mentions an .az domain, Law 998, the AZ State Register, ePrivacy, an Art. 27 EU representative, or asks "is my site GDPR compliant", "do I need to register as an operator in Azerbaijan", or "is our cookie banner lawful" — even without the word "audit".
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Rédaction d'assignations en référé devant le tribunal de commerce ou des activités économiques pour le recouvrement de créances commerciales. Utiliser ce skill quand l'utilisateur demande de rédiger, préparer ou créer une assignation en référé pour obtenir le paiement d'une créance impayée (factures, prestations de services, ventes de marchandises, etc.) lorsque le débiteur n'a pas honoré ses obligations de paiement et qu'il n'existe pas de contestation sérieuse.
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Turn a one-line description of a repetitive task into a reusable, self-guarding slash command. loop-forge diagnoses the task into one of 5 loop shapes (Batch / Pipeline / Refine / Watch / Explore), interviews for the blanks, and auto-injects two safety devices the user didn't know they needed — an independent verifier (maker ≠ checker) and a hardstop (a budget/count/cooldown ceiling) — then previews the result and stamps it as a `/command` they can run forever. Use when the user says "/loop", "/loop-forge", "/make-it-loop", "automate this", "make this repeatable", "turn this into a command", "do this for all 100 items", "do X every time Y happens", "generate several and pick the best", or otherwise wants to capture a recurring task as a reusable slash command instead of re-typing the prompt by hand. Works in any language: it interviews the user and writes the stamped command in the user's own language. Non-goal — it does not schedule unattended runs (launchd/cron) or publish externally on its own; it stamps the reusable command and stops there.
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。
sangrokjung/claude-forge☆ 8552026年9月3日 更新
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
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。
ruvnet/agentic-flow☆ 8192026年10月12日 更新
Generates an offline operation queue with persistence, automatic retry on connectivity, and conflict resolution. Use when user needs offline-first behavior, queued mutations, or pending operations that sync when back online.
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。
rshankras/claude-code-apple-skills☆ 7942026年7月24日 更新
Expert knowledge for Azure Service Bus development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using queues/topics, sessions, autoforwarding chains, geo-replication, or JMS/Java clients, and other Azure Service Bus related development tasks. Not for Azure Event Hubs (use azure-event-hubs), Azure Queue Storage (use azure-queue-storage), Azure Notification Hubs (use azure-notification-hubs), Azure Relay (use azure-relay).
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。
MicrosoftDocs/Agent-Skills☆ 7792026年10月11日 更新
Universal tariff calculator for Amazon sellers. Calculate import duties, landed costs, and VAT/GST for any trade route. Supports CN→US, CN→EU, US→EU, EU→US, US→CN and custom origin/destination pairs. Includes Section 301 tariffs, trade agreement rates (USMCA, EVFTA), and HS code lookup. No API key required.
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。
nexscope-ai/Amazon-Skills☆ 7592026年8月26日 更新
Dung khi can lap ke hoach chi tieu quang cao cho mot ky — tinh nguoc tu doanh thu, phan bo theo kenh va tang pheu, ty le testing 30 scale 50 retarget 15 lookalike 5, va timeline ramp-up. Kich hoat khi user nhac 'media plan', 'plan ads thang toi', 'phan bo ngan sach quang cao', 'chay bao nhieu tien', 'chia budget cho kenh nao', 'ke hoach chay ads'. Khong dung cho — phan bo ngan sach marketing tong the ngoai ads thi dung skill 61-budget-planning; tinh CPL toi da thi dung skill 10-tinh-kpi-nguoc.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Dung khi thuong hieu DANG bi tan cong hoac campaign gay phan ung xau — phan loai 5 cap L1 den L5, quy trinh 4 gio dau, template phan hoi tung tinh huong, ai duoc phat ngon, danh sach TUYET DOI khong lam va post-mortem sau khung hoang. Kich hoat khi user nhac 'khung hoang truyen thong', 'crisis', 'bi bao xau', 'review 1 sao lan rong', 'content gay phan ung', 'khach to tren mang', 'dang bi tay chay', 'phai xin loi the nao'. Khong dung cho — theo doi va canh bao som khi chua co su co thi dung skill 15-social-listening; campaign kem ve so lieu chu khong phai su co thi dung skill 03-danh-gia-hieu-suat; tong ket bai hoc sau khi da yen thi dung skill 63-campaign-retrospective.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Chan doan be mat chuyen doi DANG CHAY nhung khong ra don — phan loai 3 truc (loai trang, muc tieu chuyen doi, nguon traffic), chan doan 7 chieu theo dung thu tu tac dong, output 4 nhom sua trong do co ban thay the cho copy, kem che do hoi quy khi sua xong lai kem hon truoc. Kich hoat khi user nhac 'trang khong ra don', 'toi uu chuyen doi', 'CRO', 'landing page khong convert', 'tang ti le chuyen doi', 'sua xong lai kem hon', 'khach vao nhieu ma khong inbox'. Khong dung cho — xay trang moi tu dau thi dung skill 12-brief-landing-page; nghi ngo ads chu khong phai trang thi dung skill 21-audit-ads-performance; muon kiem chung gia thuyet bang so thi dung skill 19-ab-test-setup.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Thiet ke thu mien phi de doi lay thong tin lien he — ma tran loai lead magnet theo giai doan nhan thuc, danh sach dinh dang hop VN (checklist, bang bao gia mau, mini-guide, quiz, file Google Sheet tinh san, buoi tu van hoac dung thu mien phi), bang quyet dinh co nen gate hay khong, xin thong tin gi, giao qua kenh nao, trang cam on, tin hieu chat luong lead, va thang cham diem 8 yeu to cho cong cu mien phi. Kich hoat khi user nhac 'lead magnet', 'tang gi de lay so dien thoai', 'qua tang mien phi', 'tai lieu mien phi doi thong tin', 'moi mien phi', 'cong cu mien phi lay lead', 'chay lead ads ma khong biet tang gi'. Khong dung cho — lam trang dat lead magnet thi dung skill 12-brief-landing-page; nuoi duong sau khi da co contact thi dung skill 14-email-marketing; thiet ke goi ban tra tien thi dung skill 31-offer-design.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Mo phong hoi dong co van marketing bang nam archetype an danh de chong kieu that bai pho bien nhat khi dung AI mot minh — AI dong y voi nguoi hoi. Moi archetype co lang kinh rieng, cau hoi dac trung va diem mu; bat buoc co nguoi phan bien; san pham chinh la ban do bat dong neu 2-4 diem xung dot that, danh doi ben duoi tung diem, va bang chung nao se giai quyet duoc no. Kich hoat khi user nhac 'hoi dong marketing', 'nhieu goc nhin', 'phan bien giup toi', 'tranh luan chien luoc', 'toi dang phan van giua hai huong', 'ai do cai lai toi di', 'board of advisors'. Khong dung cho — duyet mot output cu the truoc khi trien khai thi dung skill 62-marketing-review; da chon huong roi va can ke hoach thi dung skill 00-ke-hoach-mkt.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Dung khi bat dau xay thuong hieu CA NHAN cho mot con nguoi cu the — founder, coach, creator: skill nay tao file .agents/personal-brand-context.md gom dinh vi ca nhan, niche, story arc, content pillar, chan dung nguoi theo doi, brand voice, visual identity va kho anh reference. Chay MOT LAN truoc moi skill personal brand 23-28. Kich hoat khi user nhac 'thuong hieu ca nhan', 'personal brand', 'ho so ca nhan', 'founder context', 'coach context', 'creator context', 'muon xay hinh anh ca nhan', 'bat dau lam personal brand'. Khong dung cho — thuong hieu DOANH NGHIEP hoac san pham thi dung skill product-marketing-context; dinh vi cong ty tren thi truong thi dung skill 58-positioning.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Dung khi can chot giong noi thuong hieu mot lan de moi output content ve sau nhat quan — personality 3 tinh tu, bang tone, tu duoc dung va tu cam, cau truc cau, va 5 vi du before/after. Kich hoat khi user nhac 'brand voice', 'giong brand', 'tone of voice', 'viet sao cho dung chat brand', 'moi nguoi viet moi kieu', 'thong nhat giong van'. Khong dung cho — quy dinh mau sac va font thi dung skill 46-brand-guideline; dinh vi thuong hieu thi dung skill 58-positioning; viet mot bai cu the thi dung skill 36-content-brief.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Dung khi can brief mot ANH TINH cho designer hoac photographer — banner, thumbnail, poster, anh feed: muc tieu visual, concept va mood, bo cuc, copy overlay, mau va font lay tu brand guideline, kich thuoc theo kenh, tieu chi duyet. Kich hoat khi user nhac 'brief anh', 'brief banner', 'brief thumbnail', 'brief visual', 'dat designer lam anh', 'ta lai anh muon lam sao', 'designer hoi lai hoai'. Khong dung cho — chua co cau overlay / slogan hai lop thi dung skill 74-copy-hai-lop truoc; chuoi nhieu slide thi dung skill 43-brief-carousel; huong dan thao tac tren Canva thi dung skill 45-brief-canva; can asset gap trong ngay khi campaign dang chay thi dung skill 48-quick-visual-brief; tu gen anh bang AI thi dung skill 30-thiet-ke-master.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use when starting work on a new product, client, or market — this skill creates the file `.agents/product-marketing-context-global.md` that 60+ other global skills read before they write anything: product, ICP, positioning, proof, objections, brand voice, pricing, and KPIs, with a region variant for US, EU, SEA, or LATAM. Run once, reuse forever. Trigger on 'set up marketing context', 'new client setup', 'onboard a new product', 'the AI does not know my product', 'US marketing context', 'EU GDPR setup', 'SEA market context', 'LATAM setup'. Also use when the user complains every answer comes back generic because nothing about the business was ever provided. Not for — a personal brand belonging to a founder, coach, or creator, see `22-personal-brand-context-global`; deep persona and JTBD research, see `09-customer-insight-global`; the period plan itself, see `00-marketing-plan-global`.
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。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use SharpConsoleUI to build full terminal (TUI) applications in .NET — equally suited to full-screen single-window apps and multi-window desktops with overlapping draggable windows — using a compositor, a DOM layout engine, and 40+ reactive controls (data tables, tree views, forms, an embedded PTY terminal, markdown, charts, video). USE FOR: interactive console apps, full-screen TUIs, multi-window terminal desktops, dashboards, wizards, and admin/monitoring UIs that need focus, mouse, and flicker-free rendering over local terminals or SSH; NativeAOT console tools. DO NOT USE FOR: simple line-based CLI output or argument parsing; non-interactive scripts; GUI/desktop (WPF/WinForms) or web UIs. INVOKES: inspect the project, add the SharpConsoleUI package, scaffold a window/control tree, and build/run to verify the app renders.
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。
managedcode/dotnet-skills☆ 4862026年10月13日 更新
Use when reviewing, designing, or modifying Java enterprise software products, AI-enabled products, RAG assistants, AI agents, generated instructions, related services, automated updates, vulnerability handling, corrective updates, warnings, instructions, or product-safety evidence under Directive (EU) 2024/2853, the EU Product Liability Directive. Part of Plinth Toolkit
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。
jabrena/plinth☆ 4482026年10月13日 更新
Use when reviewing, designing, or modifying Java enterprise systems that use AI, LLMs, AI agents, RAG, tool calling, workflow automation, or model-based decision support and need EU AI Act regulatory awareness. This should trigger for requests such as Review a Java AI system for EU AI Act controls; Design governance for an AI agent with enterprise tools; Add human oversight and auditability to LLM workflows; Assess RAG or model-driven decision support before production release. Part of Plinth Toolkit
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。
jabrena/plinth☆ 4482026年10月13日 更新
Use when reviewing, designing, or modifying Java enterprise systems that expose, exchange, store, process, export, or port data across users, businesses, connected products, cloud providers, APIs, event streams, AI data pipelines, data spaces, or SaaS platforms and need EU Data Act engineering controls. This should trigger for requests such as Review a Java platform for EU Data Act controls; Design data access and portability evidence; Add data-sharing request workflows, export formats, interoperability, metadata, audit logs, cloud-switching support, non-personal data safeguards, or trade-secret handoffs; Assess Data Act engineering readiness before production release. Part of Plinth Toolkit
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。
jabrena/plinth☆ 4482026年10月13日 更新
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
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。
Microck/ordinary-claude-skills☆ 4052026年9月7日 更新
Comprehensive backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo. Use when creating tRPC routers, public API endpoints, BullMQ queue processors, services, or working with tRPC procedures, Next.js API routes, Prisma database access, ClickHouse analytics queries, Redis queues, OpenTelemetry instrumentation, Zod v4 validation, env.mjs configuration, tenant isolation patterns, or async patterns. Covers layered architecture (tRPC procedures → services, queue processors → services), dual database system (PostgreSQL + ClickHouse), projectId filtering for multi-tenant isolation, traceException error handling, observability patterns, and testing strategies (Jest for web, vitest for worker).
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。
Microck/ordinary-claude-skills☆ 4052026年9月7日 更新