docs(prompting): adopt 5-aspect video specification across skills

Incorporate the structured taxonomy from Lin et al. "Building a Precise
Video Language with Human-AI Oversight" (CMU/Harvard, arXiv 2604.21718v2).
The paper proves prompts structured around five aspects (Subject /
Subject Motion / Scene / Spatial Framing / Camera) unlock controllable
cinematography in fine-tuned video generation models. Off-the-shelf VLMs
already nail subject and scene; the gains live in motion, spatial, and
camera, which prompts routinely omit.

Universal layer (skills/creative/video-gen-prompting.md, +125 lines):
- 5-aspect prompt skeleton replaces flat formula
- Camera movements regrouped (translation / rotation / lens-only) with
  dolly!=zoom, pan!=truck, bird's-eye!=aerial disambiguations
- New primitive tables: camera height, camera angle, POV, lens
  distortion (fisheye vs barrel), focus / DoF (rack / pull / tracking),
  playback speed (6 modes), subject transitions
- Order-matters and self-contained-prompt rules
- Identity anchoring rule for multi-shot
- Strict static-shot rule, anti-subjective callout, overlays-not-depth
- Per-model word-count guidance

Per-model guides (sora, veo, hunyuan, ltx, seedance):
- Add the primitives each model honors literally
- Word-count sweet spots per model
- Strengthen seedance verbatim-identity and subject-transition guidance

Pipeline directors (cinematic / explainer / animation scene-director,
cinematic / explainer asset-director):
- 5-aspect scene-plan checklist (per-pipeline adapted)
- Overlays-not-depth callout
- Pre / critique / post self-review loop for generation prompts

Reviewer (skills/meta/reviewer.md):
- CHAI critique-quality rules: accurate / complete / constructive
- Critical findings now require a proposed_fix

Storytelling, cinematic, broll, video-reference-analyst:
- Anti-subjective rule (replace mood adjectives with visual causes)
- Camera-intent-per-beat for script writers
- POV column in stock-footage query templates
- 5-aspect structured output mandatory for reference-video analysis

skills/INDEX.md: video-gen-prompting marked as canonical 5-aspect spec.

skills/creative/broll-planning.md

@@ -70,14 +70,18 @@ Fallback: AI-generated image of server racks
 
 ### Query Templates by Scene Type
 
-| Scene Type | Query Template | Example |
+Add a **POV keyword** to every query. Stock libraries (Pexels, Pixabay, Storyblocks, Artgrid) explicitly index POV terms — drone, aerial, OTS (over-the-shoulder), macro, top-down, dashcam, FPV, handheld, locked-off — and adding the POV often unlocks better matches than refining the subject. The CMU/Harvard CHAI taxonomy treats POV as a first-class Scene aspect for the same reason: it changes which library shelf you're searching.
+
+| Scene Type | Query Template | Example with POV |
 |-----------|---------------|---------|
-| Establishing | `[place] [time of day]` | "tokyo skyline night" |
-| Activity | `[person] [action]` | "scientist microscope" |
-| Object | `[object] [style]` | "circuit board closeup" |
-| Nature | `[element] [quality]` | "ocean waves aerial" |
-| Abstract motion | `[movement] [style]` | "light trails timelapse" |
-| Workplace | `[setting] [activity]` | "modern office meeting" |
+| Establishing | `[place] [time of day] [POV]` | "tokyo skyline night drone" |
+| Activity | `[person] [action] [POV]` | "scientist microscope OTS" |
+| Object | `[object] [style] [POV]` | "circuit board macro top-down" |
+| Nature | `[element] [quality] [POV]` | "ocean waves aerial drone" |
+| Abstract motion | `[movement] [style] [POV]` | "light trails timelapse locked-off" |
+| Workplace | `[setting] [activity] [POV]` | "modern office meeting handheld" |
+
+If the scene description doesn't already imply a POV, ask the script/scene director — don't default to "no POV." A wrong-POV match (handheld when the scene needs drone) is harder to fix than a wrong color grade.
 
 ## Evaluating Stock Footage Quality
 
@@ -89,6 +93,7 @@ When the stock tool returns results, evaluate before using:
 - **Style compatibility:** Doesn't clash with the playbook's visual style
 - **No watermarks:** Pexels/Pixabay are license-free, but verify
 - **Composition:** Subject is well-framed, not cut off awkwardly
+- **POV match:** Does the footage's actual POV (drone, OTS, macro, handheld, locked-off, etc.) match what the scene needs? A wrong POV — e.g., handheld when the scene wants drone — is **more costly to fix than a wrong color grade**. Reject and re-query rather than try to crop your way out of it.
 
 ### Video Criteria (all image criteria plus)
 - **Duration:** At least as long as the scene needs (can trim, can't extend)