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。
Find useful moments in long-form video, create ranked short clips, reframe them, and generate captions without losing source provenance.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Turn an authorized long-form source into a small, ranked set of coherent short-form candidates. Preserve the source meaning, identify useful start/end points, adapt framing, and caption only after the candidate segment is known. This is editorial packaging, not automatic publication.
If no platform is named, return a neutral 9:16 candidate plus the assumption; do not claim that a crop is platform-compliant without a supplied rule set.
media.clip_video/AI clipping when available to propose highlights.
Capture each candidate's timestamps, transcript or rationale, score if
supplied, and source parent.media.reframe_video or the live
autocrop schema for the requested ratio. Check faces, products, text, and
speaker direction after the crop.media.caption_video only after selecting the
segment. Preserve supplied wording; flag uncertain transcription, names,
numbers, and claims for human review.The current MuAPI utility schemas differ: AI clipping accepts a source video and highlight count, autocrop accepts explicit start/end times and a ratio, and captions accept provider/language/theme fields. Resolve them through MODELS.md and muapi-video-tools.md; do not assume a single tool performs all three stages.
Return a ranked candidate table with clip ID, source ID, exact timestamps,
reason/hook, transcript status, crop ratio, caption status, model/tool,
prediction IDs, output URLs, QA notes, and rejected/failed candidates. Include
the source link and parent/child relationships. Save an asset manifest and
receipt under .video/ only when permitted, following
reports-and-receipts.md.
Never change the source's meaning, remove qualifying context, or imply that captions or crops are final without review. Publishing remains out of scope.
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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。