「consent」の検索結果

Use this skill when an agent needs AssemblyAI for speech-to-text or speech-understanding work in media production, including pre-recorded, synchronous short-file, and real-time streaming transcription; speaker diarization or speaker identification; captions and subtitles; timestamps; language detection, code-switching, or transcript translation; audio intelligence such as summaries, chapters, topics, entities, key phrases, sentiment, content moderation, profanity filtering, and PII redaction; webhooks, scaling, rate limits, retention, security, consent, and QA for podcasts, interviews, captions, call recordings, and edit workflows.

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。

Produce, direct, integrate, and quality-control ElevenLabs text-to-speech for narration, character performance, multilingual media, long-form voiceover, and streamed or batch AI-content audio. Use when selecting ElevenLabs models or voices; preparing spoken text; controlling pronunciation, pacing, emotion, and code-switching; using TTS APIs; cloning or designing a voice with consent; repairing artifacts; mastering deliverables; or evaluating generated speech. Excludes music, sound-effect generation, conversational-agent design, and general speech recognition except transcription used to verify TTS.

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。

Produce Hedra character, talking-avatar, lip-sync, motion-avatar, and live avatar work. Use when an AI agent needs to choose Hedra models, prepare image/audio/script inputs, direct character performance, call or plan around the Hedra API or Studio, evaluate avatar/lip-sync results, handle consent/rights/privacy, or troubleshoot Hedra character video production.

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, edit, composite, stream, and production-review still images with OpenAI GPT Image models. Use when an agent must choose between GPT Image 2 and legacy GPT Image/DALL-E integrations, select the Image API or Responses API, build prompts and reference-image workflows, use masks or multiple inputs, preserve identity or brand details, render in-image text, handle output files and partial images, estimate cost and rate limits, migrate deprecated image code, or apply OpenAI image safety, consent, privacy, provenance, and rights requirements. Do not use for OpenAI video or audio generation.

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。

Produce presenter-led AI avatar videos with Synthesia Studio and Synthesia API. Use for Synthesia-specific avatar video planning, avatar/voice/language selection, scripted scenes, template personalization, API job lifecycle, localization/dubbing, brand/training/product workflows, consent/rights/safety checks, artifact custody, troubleshooting, and final QA.

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 AI lip sync and visual dubbing with Sync Labs (sync.so) — choose the right model (sync-3, lipsync-2, lipsync-2-pro, lipsync-1.9.0-beta, react-1), build the POST /v2/generate request, host inputs, handle async jobs via polling or webhooks, run batch dubbing/localization, and review output for sync accuracy and identity preservation. Use when an agent must re-voice, dub, translate, personalize, or re-time the mouth of a talking-head video (or animate a still face from audio), or must debug a failed/rejected Sync generation. Also covers consent, likeness, and rights obligations for editing a real person's face.

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 DeepMotion Animate 3D for markerless video-to-3D human motion capture through the cloud portal, sales-gated API, or real-time SDK; covers capture planning, body/hand/face/multi-person limits, custom characters, retargeting, refinement, exports, DCC/game-engine handoff, QA, pricing, privacy, consent, and rights checks.

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。

Production guidance for Kling AI Open Platform Advanced Lip-Sync. Use for identifying/selecting one face in an existing video, assigning URL/Base64 or Kling TTS audio, cropping and inserting audio in milliseconds, mixing original sound, creating and monitoring tasks, downloading expiring results, consent/privacy review, sync QA, and repair. Do not use for still-image avatar generation or ordinary Kling video generation.

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 an agent needs production image or video understanding with Amazon Rekognition: labels, objects, scenes, OCR, moderation, image properties, Custom Labels or moderation adapters, stored-video analysis, conditional streaming-video workflows for existing eligible accounts, searchable media libraries, confidence evaluation, S3/IAM/event architecture, privacy, biometric consent, cost control, lifecycle management, and QA.

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 planning, capturing, processing, validating, troubleshooting, or exporting markerless human motion capture with Move AI products, including Move One single-camera workflows and Genesis multi-camera studio systems. It covers provider selection, setup, calibration, wardrobe and lighting constraints, documented multi-person operation, processing, cleanup, skeleton and retargeting choices, DCC/game-engine export, data management, consent, and privacy. Do not use it for general keyframe animation, non-Move mocap systems, 3D asset generation, or generic animation cleanup unrelated to Move AI outputs.

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 for producing Tavus AI-human videos and real-time avatar conversations with Tavus Faces/Replicas, PALs/Personas, async Video Generation, CVI conversations, consent-safe likeness workflows, webhooks, backgrounds, localization, and avatar QA.

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。

Produce HeyGen avatar videos with Direct Video, Video Agent, Digital Twin, Avatar Realtime, and related avatar/voice/asset APIs. Use for provider routing, avatar and voice selection, script-to-video workflows, lip-sync from audio, backgrounds/scenes, callbacks and polling, consent and rights checks, localization handoffs, artifact custody, QA, and troubleshooting HeyGen avatar-video productions.

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 D-ID to plan, generate, stream, localize, and QA avatar/talking-head videos, including V2 Photo Avatar Talks, V3 Pro/Instant Avatar Clips, V4 Expressive Avatar Scenes, D-ID Agents, voices, consent, lifecycle, safety, and artifact custody.

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。

Provider-independent dialogue editing and ADR direction for AI agents producing generated videos, films, ads, avatar clips, explainers, localization/dubbing, podcasts, recuts, and social content. Use for dialogue prep, repair, room tone, take comping, sync, ADR cueing, dubbing direction, pronunciation, de-essing, plosives, mouth clicks, voice continuity, synthetic voice consent boundaries, captions/transcripts handoff, mix handoff, loudness, intelligibility, accessibility, and QA.

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。

Provider-independent production workflow for AI agents creating music videos, lyric videos, visualizers, performance/narrative/dance videos, social cutdowns, album or single launch assets, and generated-media clips synchronized to songs. Use when planning, directing, prompting, editing, reviewing, or delivering video content built around a recorded song, artist performance, lyrics, beat timing, choreography, platform variants, music rights, likeness consent, accessibility, or synthetic-media disclosure.

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。

Provider-independent production workflow for recutting long talking-head, podcast, interview, webinar, panel, lecture, livestream, founder call, or customer-call footage into short clips, highlight reels, trailers, audiograms, captioned vertical videos, and social cutdowns. Use when an agent must ingest source recordings, transcribe and diarize speakers, select quotes without misrepresentation, preserve context, handle consent/rights/disclosures, clean jump cuts and audio, add captions, graphics, lower thirds, b-roll, platform variants, synthetic-media boundaries, review packets, delivery specs, and recut QA.

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。

Provider-independent workflow for producing UGC-style paid and social ads, creator testimonials, product demos, hooks, before/after concepts, app walkthroughs, TikTok/Reels/Shorts variants, synthetic-persona or avatar UGC, ad-policy checks, disclosure planning, rights/consent review, delivery specs, and QA.

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。

Provider-independent production workflow for AI-assisted fashion campaigns, lookbooks, editorial fashion films, ecommerce/editorial hybrids, social cutdowns, virtual try-on assets, generated model/lifestyle ads, and retouched fashion visuals; use when an agent must plan, prompt, produce, review, localize, or deliver fashion imagery or video while preserving garment truthfulness, model consent, fit representation, claims substantiation, platform compliance, accessibility, and fashion QA.

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。

Provider-independent performance direction for generated video, avatar/spokesperson clips, animation, ads, film scenes, social content, and voice-led media. Use when an agent must cast or direct synthetic performers, avatars, animated characters, talking heads, AI video characters, or voice performances; plan acting beats, objective/obstacle/action, blocking, gesture, eye-line, facial expression, body language, lip-sync, voice alignment, rehearsal prompts, iteration, continuity, consent, and performance QA.

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。

Provider-independent production workflow for AI avatar spokesperson videos, including presenter briefs, consent and likeness rights, disclosure and platform labeling, casting, localization, performance direction, brand fit, claims review, lip-sync/audio QA, accessibility, approvals, and delivery packages. Use when creating synthetic presenter videos, corporate explainers, training modules, sales/support avatars, localization spokespeople, product announcements, compliance videos, or social avatar clips.

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。

Audit paid-ad landing pages for message match, mobile experience, performance, accessibility, trust, forms, consent, tracking, security, and conversion friction. Use for landing-page audit, post-click experience, LP audit, conversion-rate optimization, form optimization, ad-to-page message match, redirects, blocked navigation, or requests involving private, loopback, link-local, or metadata IP destinations.

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。

Test for WCAG 2.2 AA compliance with axe-core + Playwright, keyboard navigation audits, screen reader testing, ARIA pattern validation, and legal compliance mapping (ADA, EAA, Section 508). Automated tools catch 30-40% of issues — this skill covers automated and manual testing together. Use when: "accessibility," "a11y," "WCAG," "screen reader," "axe," "keyboard navigation," "ARIA," "ADA compliance." Not for: cookie-consent/GDPR compliance — use compliance-testing; pixel-diff visual regression — use visual-testing. Related: playwright-automation, compliance-testing, visual-testing, ci-cd-integration.

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。

Designs automated email sequences end to end: the trigger, branches and exit rules, the full copy of every message, and the sender setup that keeps them out of spam (SPF, DKIM, DMARC, one-click unsubscribe, consent). Covers onboarding and welcome series, lead nurture, abandoned cart, dunning, win-back and sunset flows. Use when someone asks for a "drip campaign", "welcome sequence", "onboarding emails", "nurture sequence", "win-back emails", "lifecycle emails", "email automation", or says "our emails land in spam" or "nobody clicks our onboarding emails". In-app onboarding belongs to onboarding-cro.

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。

Designs and implements website analytics tracking with Google Analytics 4 and Google Tag Manager: a written tracking plan, event and parameter names that pass GA4's rules, gtag.js or data-layer code, key events, consent mode, UTM conventions, and a verification pass. Use when someone says "set up GA4", "add conversion tracking", "track this form or button", "write a tracking plan", "GTM data layer", "UTM parameters", "why are my events missing or counted twice", or "audit our analytics 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。