Production Validator

Validate screenplays for AI video generation feasibility and prepare for Veo 3 production.

Quick Start Workflow

1. RECEIVE screenplay XML from screenwriter skill
2. VALIDATE each scene for Veo 3 feasibility
3. CHUNK scenes >8 seconds into 8s segments
4. GENERATE continuation prompts for each chunk
5. TAG shot continuity relationships
6. OUTPUT validated XML ready for imagine/arch-v

Core Functions

1. Feasibility Validation

Score each scene element against Veo 3 capabilities:

Risk Levels:

• LOW

• Veo 3 handles well (single subject, simple motion, standard camera)

• MEDIUM

• May need iteration (moderate complexity, 2-3 subjects)

• HIGH

• Likely to fail (complex multi-object motion, text rendering)

• CRITICAL

• Will fail (impossible physics, conflicting movements)

Risky Elements Quick Check:

Element Risk AI-Friendly Alternative

Multiple objects in motion HIGH Focus on one subject per beat

Text/signs visible HIGH Remove text, add in post

Complex hand gestures MEDIUM Simplify to basic poses

Dialogue + music together MEDIUM Separate into distinct beats

Multiple camera movements CRITICAL One movement per 8s chunk

Character without ref image MEDIUM Add detailed visual anchor

Rapid scene changes HIGH Extend individual beats

For full risky elements catalog: references/veo3-knowledge-base.md

2. Scene Chunking (8-Second Rule)

Veo 3 generates maximum 8 seconds per clip. Scenes must be chunked:

Chunking Logic:

IF scene_duration <= 8s: → Single chunk (no split needed) IF scene_duration > 8s AND <= 16s: → Split into 2 chunks IF scene_duration > 16s: → Split into ceil(duration/8) chunks

Chunk Structure:

• Each chunk: 6-8 seconds (prefer 8s for maximum content)

• Continuation setup: End each chunk on clear visual anchor

• Continuation prompt: Reference previous chunk's ending

For detailed chunking workflow: references/chunking-workflow.md

3. Continuity Tagging

Tag shot relationships for editing:

Shot Relationships:

• new

• Fresh scene, no connection to previous

• continues_from_[id]

• Direct continuation of previous chunk

• match_cut_from_[id]

• Visual match to previous shot

• jump_cut_from_[id]

• Same subject, different angle/time

Transition Types:

• hard_cut

• Instant transition (default)

• dissolve

• Gradual blend (passage of time)

• fade

• Fade to/from black (scene break)

• wipe

• Stylized transition

For continuity system details: references/continuity-tagging.md

4. Prompt Optimization

Transform screenplay action into Veo 3-optimized prompts:

Prompt Structure:

[Shot type + Camera] [Subject description] [Action] [Setting] [Lighting] [Style] [Audio] [Constraints]

Optimization Rules:

• ONE camera movement per chunk

• Subject description in first 50 words

• Specific cinematic terms (dolly, crane, track)

• Include audio cues (ambient, SFX, dialogue)

• Add negative prompts for common issues

For optimization patterns: references/prompt-optimization.md

Input Format (from screenwriter)

<scene number="1" duration="30s"> <slugline>EXT. WASTELAND - DAWN</slugline> <location>Wasteland</location> <time>Dawn</time> <characters>Unit-7</characters> <mood>desolate, lonely</mood> <key_visuals> <visual>post-apocalyptic wasteland</visual> <visual>boxy robot with blue optical sensor</visual> </key_visuals> <action> Robot rolls across wasteland. Discovers flower between concrete slabs. </action> </scene>

Output Format

<validated_scene number="1" original_duration="30s"> <feasibility_check> <risk_score>LOW</risk_score> <risky_elements> <element risk="NONE">Single subject - optimal for Veo 3</element> </risky_elements> <safe_for_veo3>true</safe_for_veo3> </feasibility_check>

<chunks> <chunk id="1a" duration="8s"> <shot_type>establishing</shot_type> <shot_relationship>new</shot_relationship> <action>Wide establishing shot of post-apocalyptic wasteland...</action> <veo3_prompt> Cinematic establishing shot, wide angle, post-apocalyptic wasteland with ruined skyscrapers silhouetted against pale sun, gray dust covering cracked ground, thick smog atmosphere, slow dolly forward, golden hour lighting through pollution, photorealistic, high detail. Audio: wind howling, distant debris settling. negative prompt: no text, no multiple moving objects </veo3_prompt> <camera_movement>Slow dolly forward</camera_movement> <continuation_setup>Camera ends focused on ground-level debris field</continuation_setup> </chunk>

<chunk id="1b" duration="8s" continues_from="1a">
  <shot_type>continuation</shot_type>
  <shot_relationship>continues_from_1a</shot_relationship>
  <action>Medium shot: Robot (Unit-7) enters frame...</action>
  <veo3_prompt>

[CONTINUATION] Medium shot, boxy robot with weathered chrome body and glowing blue optical sensor rolls across cracked asphalt from left, mechanical treads leaving marks in gray dust, slow deliberate movement, same wasteland environment, maintain lighting and atmosphere, static camera. Audio: mechanical whirring, treads on gravel. negative prompt: no lighting change, no character drift </veo3_prompt> <camera_movement>Static (robot enters frame)</camera_movement> <continuation_setup>Robot reaches pile of rubble</continuation_setup> </chunk>

<chunk id="1c" duration="8s" continues_from="1b">
  <shot_type>reveal</shot_type>
  <shot_relationship>continues_from_1b</shot_relationship>
  <action>Close-up: Robot discovers flower...</action>
  <veo3_prompt>

[CONTINUATION] Close-up shot, small yellow flower with delicate petals between gray concrete slabs, robot's blue optical sensor visible in frame (slight dilation suggesting surprise), weathered metal fingers slowly reaching toward flower, shallow depth of field, same golden lighting, intimate moment. Audio: gentle wind, mechanical servo whir. negative prompt: no hand distortion, maintain flower detail </veo3_prompt> <camera_movement>Slow dolly closer to flower</camera_movement> <editing_transition>Hold final frame for dissolve</editing_transition> </chunk> </chunks>

<editing_notes> - Chunks 1a-1c flow continuously (24s total) - Smooth cuts between chunks (maintain spatial continuity) - Final frame (flower close-up) holds for transition to next scene - Character consistency: Repeat "boxy robot, weathered chrome, blue optical sensor" </editing_notes> </validated_scene>

Validation Workflow

Step 1: Parse Input

RECEIVE XML from screenwriter EXTRACT: duration, characters, key_visuals, action VALIDATE: Required fields present

Step 2: Risk Assessment

FOR each scene: SCAN action for risky elements (see knowledge base) CALCULATE risk_score based on element count/severity FLAG elements that need optimization SUGGEST alternatives for HIGH/CRITICAL elements

Step 3: Chunking

IF duration > 8s: CALCULATE chunk_count = ceil(duration / 8) DISTRIBUTE action across chunks ENSURE each chunk has: - Clear subject/action - One camera movement - Continuation setup (except last)

Step 4: Prompt Generation

FOR each chunk: BUILD veo3_prompt using structure: [Camera + Shot] + [Subject] + [Action] + [Setting] + [Lighting] + [Style] + [Audio] + [Negative prompts] ADD [CONTINUATION] prefix if continues_from previous INCLUDE character description repetition for consistency

Step 5: Continuity Tagging

FOR each chunk: SET shot_relationship based on connection SET camera_movement (ONE per chunk) SET continuation_setup (visual anchor for next) SET editing_transition if applicable

Step 6: Output

GENERATE validated_scene XML INCLUDE: feasibility_check, chunks, editing_notes VALIDATE: All chunks ≤8s, all have veo3_prompt

Integration with Pipeline

Receives from: screenwriter (XML with scene, duration, action)

Feeds into:

• imagine skill - Uses veo3_prompts for still image generation (Path 2)

• arch-v skill - Uses continuation metadata, camera movements, audio cues

Cross-references:

• camera-movements skill - Validates camera movement terminology

• great-prompt-anatomy skill - Validates 8 mandatory prompt components

• long-prompt-guide / short-prompt-guide

• Applies appropriate prompt methodology

Success Criteria

• ✅ All scenes chunked into ≤8 second segments

• ✅ Each chunk has continuation instructions

• ✅ Risk scoring for Veo 3 feasibility

• ✅ Clear continuity tags for editing

• ✅ Optimized prompts for each chunk

• ✅ Character consistency maintained via description repetition