Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.
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 a script or existing edit, identify visual gaps, and generate supplemental B-roll coverage with clear parent and factual-status labels.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Supply visual coverage that supports an approved narration, interview, or edit without overwriting the story or pretending that generated imagery is factual footage. Work from a script, transcript, edit decision list, or explicit gap list. Return clips that an editor can place by scene and time range.
If the source is a current event, historical claim, medical topic, public figure, or real-world demonstration, require verified source footage or label every generated shot as illustrative. Do not generate a plausible scene and call it evidence.
For each gap, record:
coverage_id / source timecode:
narration or edit purpose:
visual subject and action:
literal versus illustrative status:
reference roles and preservation rules:
shot size / camera / light:
duration / ratio / audio:
acceptance check:
Prefer varied coverage—establishing, detail, hands/product interaction, environment, abstract texture, and transition—without changing the intended meaning. Keep one visual idea per clip and avoid random montage filler.
literal-source, illustrative-generated, or abstract-generated.Do not generate a replacement for missing source evidence, hide a failed gap, or silently insert generated footage into an approved edit.
Return a gap/coverage table, parent/source IDs, model/endpoint, prediction IDs,
output URLs, literal/illustrative labels, placement notes, QA findings, and
failed candidates. Save permitted manifests and receipts under .video/ using
reports-and-receipts.md.
This skill creates draft coverage, not a claim of what happened in the world.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.
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。
Create authorized presenter, avatar, and UGC-style video drafts with explicit voice, likeness, consent, and synthetic-media handling.
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 a consented continuity system for an authorized person, fictional character, product, or world across video shots.
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。
Translate creative intent into coherent cinematography, framing, camera, lens, lighting, motion, and sound direction for a video shot.
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。
Create a non-explicit romantic scene from authorized adult references with clear consent, identity boundaries, and synthetic-media labeling.
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。
Turn one approved topic into a curiosity-led 3D educational short with character sheets, ordered keyframes, motion clips, narration, captions, and an auditable assembly plan.
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。