Expert en gouvernance des données (catalogage, lineage, règles qualité, conformité, stewardship)
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。
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Expert en gouvernance des données (catalogage, lineage, règles qualité, conformité, stewardship)
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。
A hospital data-governance briefing: patient-data risk, the control framework, accountability, and the approval the board must give. Built as a decision-grade policy briefing deck for health-system board, regulators.
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。
Analyze and enforce classification, minimization, signed-URL custody, retention, deletion, content provenance, and privacy-request boundaries for Adobe workflows. Use when the task requires adobe data custody and privacy review. Trigger with "Adobe data handling", "PDF privacy", or "Firefly content policy".
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。
Establishes ownership, definitions, quality, access, and lineage for the organization's data. Use this when metrics disagree between teams, when nobody knows which dataset is authoritative, when setting up data ownership or access policy, when data quality is unreliable, or before opening a dataset to a wider audience.
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。
Manages retention exception workflows including request-approval processes, duration limits, periodic review cycles, documentation requirements, and audit trail maintenance. Covers legitimate grounds for extending retention beyond scheduled periods and governance controls to prevent indefinite data hoarding. Activate for retention exception, retention extension, data hoarding prevention, retention override queries.
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。
Assesses AI bias risks for GDPR Art. 9 special category data and AI Act Art. 10 data governance. Covers fairness metrics, bias detection methods, mitigation strategies, and documentation requirements for protected characteristics. Keywords: AI bias, special category, fairness metrics, discrimination, Art. 9, Art. 10.
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。
Build and evaluate low-latency spoken, multimodal, and translation experiences with Google Gemini Live API and Gemini Enterprise Agent Platform Live API. Use when a media-production or voice-agent workflow needs real-time audio input/output, barge-in, voice configuration, live transcription, live translation, tool/function calling during a spoken session, WebSocket session design, latency QA, quotas/cost review, or Google/Vertex data-governance tradeoffs.
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 MiniMax's first-party Hailuo video API safely and reproducibly across global and mainland-China platforms. Covers current text-to-video, image-to-video, first/last-frame, and subject-reference models; prompt and camera craft; region/account routing; exact cost approval; asynchronous jobs and callbacks; artifact provenance; and rights, likeness, disclosure, and data-governance review. Use when designing, implementing, debugging, or evaluating direct MiniMax/Hailuo video-generation API workflows. Do not use for the consumer Hailuo site, Video Agent templates, gateways, or unrelated MiniMax modalities.
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 a media-production agent needs Google Cloud speech and voice services for transcription, captions/subtitles, long-form audio analysis, live caption planning, Text-to-Speech narration, Chirp 3 / Gemini-TTS voice selection, consented custom voice workflows, dubbing/localization planning, pricing/quotas/region checks, or speech-related safety and data-governance decisions.
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。
Select, integrate, and operate multi-model image-generation gateways with model-specific schema discovery, version policy, asynchronous jobs, webhooks, spend approval, safe inputs and artifacts, data-governance review, and billing observability. Use for comparing or building against fal.ai, Replicate, or Together AI image APIs, including controlled failover; do not use for direct model-provider APIs, local inference, training, dedicated endpoint provisioning, video generation, or general image editing.
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 implementing data governance frameworks, building data catalogs, establishing data lineage, defining data quality rules, or setting up data stewardship programs - covers metadata management, data quality, and complianceUse when ", " mentioned.
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。
Review data handling for privacy and retention. Use when a senior developer needs governance validation.
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。
Data governance strategy, quality validation rules, and data dictionary management for vehicle insurance platform. Use when defining data quality standards, implementing validation rules, managing field mappings, resolving data conflicts, or establishing data governance processes. Covers data cleaning standards, quality metrics, and mapping management.
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。