AI Video Generation Skill Pack
Defines approved use of video generation tools, source assets, likeness limits, review gates, evidence capture, and Creation Rights release checks.
What this pack enables
Governed video generation from text prompts, image inputs, or video-to-video transformations using client-approved models. Teams can produce media at scale while maintaining brand compliance, rights protections, and full evidence capture.
Best for
Enterprise creative teams, production studios, and brand teams producing video content using generative models and needing full governance from brief to release.
Ecosystem examples
Client outcome
A complete operating file that defines which video models your team can use, what inputs are allowed, what approval gates apply, what evidence is captured, and what Creation Rights checks before release.
What a Media Skill Pack defines.
Generate, edit, or transform video assets using approved generative models within defined brand and rights boundaries.
LTX Video, Runway Gen-3, fal.ai video endpoints, ComfyUI AnimateDiff, Adobe Firefly Motion — client-approved model list only.
Source briefs, storyboards, reference frames, brand motion templates, approved audio guides, product photography for video-from-image.
Unlicensed reference footage, competitor brand assets, talent imagery without consent, assets from non-approved libraries.
All outputs must pass Brand Profile motion check. Tone, pacing, color grading, and visual language must match approved motion guidelines.
NILP® review required for any output containing recognizable likeness, voice, or persona elements. Consent verification before render.
Minimum 1080p resolution. Metadata must include model ID, prompt hash, generation parameters, and timestamp. Maximum 60s per generation without escalation.
Source assets
- Approved storyboards
- Reference frames from brand library
- Product photography
- Audio reference tracks
- Motion style guides
Reference materials
- Brand motion guidelines
- Tone and pacing references
- Color grading LUTs
- Previous approved outputs
Required metadata
- Brief ID
- Campaign reference
- Target format and duration
- Intended distribution channel
Asset access level
Production team with creative lead oversight. Model access restricted to approved endpoint list.
Destination systems
- Internal review system
- Frame.io for approval
- DAM for approved outputs
- Release pipeline
Human approval gates
- Creative lead review before any external use
- Brand sign-off on first output per campaign
- Rights check before render if talent-adjacent
- Final approval before release pipeline entry
Brand review
Automated Brand Profile motion check on all outputs. Manual review for edge cases or new visual territory. Escalation to brand lead for contested outputs.
Rights review
NILP® scan for likeness, voice, or persona elements. Consent verification against rights database. Usage scope confirmation per talent agreement.
Escalation path
Any output flagged by NILP® check escalates to rights team. Contested brand outputs escalate to brand lead. Unresolved items escalate to legal.
Blocked use cases
- Generation of recognizable individuals without consent
- Use of non-approved models
- Outputs exceeding licensed territory scope
- Content that violates brand tone guidelines
- Generation from unlicensed reference material
Evidence captured and returned by this Skill Pack at every execution.
Sample scenarios showing how this pack operates in production.
Product launch video from storyboard
Localized campaign cutdown
Product demo from reference frames
Before release, Creation Rights checks:
Public view shows sample pack structure only.
Client teams access the full operating files, approved tool lists, prompt templates, asset access rules, Brand Profile references, Rights & NILP® rules, approval paths, metadata schemas, evidence checklists, example runs, rollout notes, and Creation Rights handoff rules for this pack.