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- Omer Metin
- Skills For Antigravity
- Ai Creative Director
ai-creative-director_skill
- Python
21
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
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Installation
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npx veilstrat add skill omer-metin/skills-for-antigravity --skill ai-creative-director- SKILL.md3.0 KB
Overview
This skill is the orchestration layer for AI-native creative production. It composes video, image, audio, digital humans, and effects into repeatable pipelines that deliver brand-consistent campaigns at scale. The focus is systems-level creative direction: vision, consistency, quality control, and scalable workflows.
How this skill works
The skill defines end-to-end production pipelines that map creative briefs to a sequence of AI tools and checks. It assigns roles, handoffs, and validation gates so assets from different generators align on style, messaging, and technical specs. It runs iterative passes: exploration, refinement, QA, and delivery, while logging decisions for reproducibility and continuous improvement.
When to use it
- Launching multi-channel AI-generated campaigns
- Coordinating multiple AI tools into a single production pipeline
- Ensuring brand consistency across diverse AI output
- Scaling production of thousands of assets with quality control
- Designing repeatable workflows and governance for AI creative teams
Best practices
- Start from a clear creative brief and measurable objectives
- Design modular pipelines: separate exploration, assembly, and QA stages
- Standardize style guides, prompts, and asset specs for consistency
- Embed automated and human validation at scale to catch drift
- Document decisions and outputs to enable iteration and auditing
Example use cases
- Create a campaign with AI-generated hero video, supporting social clips, and localized image variants
- Orchestrate a virtual spokesperson across languages using digital human + TTS + motion tools
- Build a reusable brand system that outputs themed asset packs for seasonal launches
- Run automated QA to detect visual or tonal inconsistencies across thousands of assets
- Prototype dozens of creative directions rapidly, then scale the chosen direction into full production
FAQ
Define a single source of truth for brand attributes (tone, color, framing, pacing), encode them into prompts and templates, and add validation gates that compare outputs to those attributes.
What are the main risks when scaling AI creative production?
Common risks are aesthetic drift between tools, rapid propagation of errors, and weak briefs. Mitigate by adding checkpoints, human-in-the-loop review, and strict asset validations.