Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.
中文简介正在准备中。当前显示原文说明。
Turn an authorized long-form video into a ranked set of YouTube Shorts candidates with vertical framing, captions, timestamps, and source provenance.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Provide a platform-focused preset over Short-form Repurposing: long-form source in, ranked vertical short candidates out. Keep the original source immutable, preserve exact timestamps and context, and make the difference between an editorial score and actual audience performance explicit.
If no platform is specified, use a 9:16 draft as an assumption and state it. Do not claim that a duration, hook, crop, or caption style is currently YouTube-compliant without a supplied or verified rule set.
media.clip_video to propose highlights. Capture every candidate's
start/end time, transcript or hook, editorial rationale, provider score if
returned, and source parent.media.reframe_video or the live
autocrop schema. Default to 9:16 only when that assumption is accepted.
Inspect speaker/product tracking, cut points, safe areas, and context after
the crop.The current utility shapes are documented in MODELS.md and muapi-video-tools.md: clipping can return highlight coordinates, autocrop takes explicit start/end seconds and a ratio, and captions are a separate operation. Do not assume one call performs all three stages.
Review the finished candidates with video QA, especially crop safety, caption timing, source context, audio, and synthetic media disclosure.
Return rank, clip ID, source ID, exact timestamps, duration, hook/title,
editorial rationale, score provenance, crop ratio, caption status,
model/tool, prediction IDs, output URL, rights state, and QA findings. Save a
manifest or receipt under .video/ only when permitted, using
reports-and-receipts.md.
Never pad the requested count with weak moments, remove qualifying context, or present generated captions/crops as final without review.
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Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.
中文简介正在准备中。当前显示原文说明。
Create authorized presenter, avatar, and UGC-style video drafts with explicit voice, likeness, consent, and synthetic-media handling.
中文简介正在准备中。当前显示原文说明。
Analyze a script or existing edit, identify visual gaps, and generate supplemental B-roll coverage with clear parent and factual-status labels.
中文简介正在准备中。当前显示原文说明。
Build a consented continuity system for an authorized person, fictional character, product, or world across video shots.
中文简介正在准备中。当前显示原文说明。
Translate creative intent into coherent cinematography, framing, camera, lens, lighting, motion, and sound direction for a video shot.
中文简介正在准备中。当前显示原文说明。
Create a non-explicit romantic scene from authorized adult references with clear consent, identity boundaries, and synthetic-media labeling.
中文简介正在准备中。当前显示原文说明。