wan-3-promptinglisted
Install: claude install-skill raphaelbgr/ai-video-prompting
# Wan 3.0 prompting
Researched against primary sources (Alibaba Model Studio official prompt guide, Runware
Wan 3.0 API docs, the Wan 3.0 prompt guide, and a provider OpenAPI schema read
directly). Background write-up with the full citation trail:
[`docs/wan-3-research.md`](../../docs/wan-3-research.md).
`[NV]` = not verified — confirm before relying on it.
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## 1. The five rules that break scenes
Every illogical scene traces back to one of these. They are **documented behaviour**,
not bad luck.
1. **No state change inside a shot.** Alibaba is explicit: *"cuts happen BETWEEN clips,
not within"*. An object that disappears, clothing that tears, lights that switch —
each must become a **cut**. (Cost: two paid generations on a necklace that refused
to leave a neck.)
2. **One action beat per shot.** *"Keep actions simple and short."* A 5s clip cannot do
"sprints + vaults a planter + shoulders through a door". Two beats = two clips.
3. **Label speakers, never pronouns.** With two people on screen, "He says" makes the
model guess. Use `[Man in the black tuxedo, firm]: "..."`.
4. **Address references by identifier.** The model binds `Image1` / `Image2` written in
the prompt text to the uploaded reference array. Natural language ("the man from the
first reference") is measurably weaker.
5. **Name the camera explicitly.** The default behaviour is a gentle drift. A locked
frame requires the literal words `static, locked-off`.
Also documented as unreliabl