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。
Plan and execute reference-driven movement using first/last frames, driving video, and model-specific motion controls.
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。
Use a supplied movement reference or constrained visual endpoints to make motion intentional and inspectable. This skill covers first/last-frame transitions, a last-image continuation control, and model-specific driving video or motion-control workflows. It does not promise exact physical tracking, camera telemetry, or a universal camera-path interface.
Clarify whether the reference supplies appearance, motion, camera movement, or all three. Do not treat a driving clip as permission to copy an unrelated person's identity or performance.
| Intent | Path | Schema discipline |
|---|---|---|
| Controlled transition between visual endpoints | first/last-frame model path | preserve list order exactly: first, then last |
| Continue an existing shot toward a specified image | I2V with last_image where supported | verify the selected endpoint accepts the field |
| Transfer movement from a driving video | Kling motion-control or another live endpoint | required image/video roles and audio defaults vary |
| Ordinary camera/action direction | T2V or I2V prompt | describe observable movement; do not invent unsupported controls |
Use MODELS.md and the live catalog. Current reference shapes include Seedance first/last-frame and omni-reference endpoints, Veo I2V with an optional last image, and Kling motion control with image/video inputs. The exact prompt syntax, duration, ratios, audio behavior, and reference limits are endpoint-specific.
media.check_result.Do not hardcode a camera_path, extract_frame, or arbitrary motion field
unless the selected live schema exposes it. For frame extraction, use a
separate approved media utility; video generation alone is not an extraction
contract.
Return motion path, reference-role table, model/endpoint, exact schema fields,
prediction ID, output URL, status, audio treatment, QA results, and failed or
unsupported controls. Use video QA and save
permitted receipts under .video/ via
reports-and-receipts.md.
Generation is draft-only. No physical-world claim or publication action is implied by a generated motion clip.
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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。