Talking Avatar

Create one focused voice conversation with a fixed character portrait whose mouth poses follow the actual remote audio. Accept either a photograph or a character description, generate a canonical portrait plus small mouth sprites, and build the app around OpenAI Realtime.

Coordinate the required skills

• Use imagegen for every canonical portrait or mouth-frame generation/edit. Read its full instructions before generating.
• Use openai-docs and, when applicable, openai-platform-api-key to verify the current Realtime WebRTC endpoint, session schema, model, voices, and credential flow. Never rely on this skill's model examples as current truth.
• Use the available frontend design skill for interface work.
• If .openai/hosting.json exists, follow sites-building and sites-hosting through deployment.
• Do not add backgrounds, wardrobes, role modes, or multiple characters unless the user explicitly asks. The default product is one avatar and one conversation.

Choose the input path

1. Photograph supplied: inspect it with view_image, treat it as an identity reference, and preserve face shape, skin tone, hair, glasses, facial hair, and distinguishing features.
2. Character described: normalize the description into a concrete visual spec. Ask only for a missing detail that materially changes identity, such as photorealistic versus illustrated. Otherwise proceed with tasteful defaults.
3. Establish the character name, concise persona, app name, language, and preferred voice. Infer reasonable defaults when safe.

Read references/image-pipeline.md before creating or editing the avatar assets.