| name | Multimodal Studio |
| description | Unified image, video, and character generation across 30+ frontier models through a single connector. Model routing, visual prompt engineering, character consistency, async job handling, and brand-locked output for production creative work. |
| version | 1.0.0 |
| triggers | ["generate image","generate video","create character","multimodal","higgsfield","image generation","video generation","b-roll","cinematic","thumbnail","hero image","character reference","visual asset"] |
Multimodal Studio
One connector. Image + video + consistent characters. Thirty-plus models, vendor-agnostic, brand-locked.
Purpose
Turn a creative brief into finished visual assets — images, videos, and reusable characters — without leaving the agent loop. Multimodal Studio is ACOS's unified generation layer: it routes each request to the right model, engineers the prompt, holds brand and character consistency across a whole asset set, and handles the async generation lifecycle end to end.
This is the capability that closes the gap with agent-first platforms like Google Antigravity — except ACOS stays model-agnostic (no lock-in to one vendor's image/video stack) and brand-aware (every asset inherits Frank DNA + project brand tokens).
When to Use This Skill
- Generating a hero image, thumbnail, OG card, or social visual for a piece of content
- Producing short-form video, b-roll, or a cinematic clip from a still or a prompt
- Creating a reusable character that stays consistent across many images and videos
- Building a coordinated asset set (article header + 3 social cards + a 5s teaser) that must look like one campaign
- Any time a workflow says
~~image generation or ~~video generation
The Connector (Higgsfield MCP — default)
ACOS's default multimodal connector is Higgsfield MCP — one OAuth connection exposes 30+ image and video models plus character training. Per CONNECTORS.md, this skill is tool-agnostic: any MCP that fills the ~~image generation / ~~video generation categories works. Higgsfield is the default because a single server covers all three modalities with consistent characters.
Connect (Claude Code):
claude mcp add --transport http --scope user higgsfield https://mcp.higgsfield.ai/mcp
Self-hosted alternative (stdio + API keys): see resources/model-matrix.md.
Tools exposed: generate_image, generate_video, create_character, list_characters, get_generation_status.
Verify before generating: if the higgsfield tools are not available, do NOT silently fall back to describing images in text. Tell the operator the connector is missing and give them the one-line claude mcp add command above.
The Workflow (BRIEF → ROUTE → CRAFT → GENERATE → ASSEMBLE)
1. BRIEF — lock intent before spending a generation
Capture (ask only for what's missing; infer the rest from project context):
- Goal & placement — where does this live? (blog hero, IG reel, YouTube thumbnail, OG card)
- Aspect ratio & resolution — derive from placement (see matrix); never ask if placement implies it
- Style — photoreal / 3D / illustration / minimalist / cinematic (inherit brand tokens if a brand skill is active)
- Character? — is there a recurring subject that must stay consistent across assets?
- Modality — still, video, or both (image → animate is the cheapest path to video)
2. ROUTE — pick the model deliberately (see resources/model-matrix.md)
Routing heuristics:
- Photoreal stills, people, products → Soul (4K, strong on faces/brand)
- Stylized / illustration / typography-in-image → Flux or Seedream
- Cinematic motion from a still → image-to-video (Kling / Hailuo / DoP)
- Text-to-video, complex scenes → Veo / Sora-class
- Recurring subject across the set →
create_character once, then reference its ID in every call
Always state which model you chose and why in one line before generating.
3. CRAFT — engineer the prompt
Structure every visual prompt as: Subject + Action + Setting + Composition + Lighting + Style + Technical.
- Lead with the subject and the single most important visual idea.
- Specify camera/lens/lighting for photoreal ("85mm, soft key light, shallow depth of field").
- For video, describe motion explicitly (camera move + subject motion + pacing); models default to static otherwise.
- Inject brand tokens (palette, mood, typography rules) when a brand skill is loaded.
- Negative space and aspect ratio are part of the prompt, not an afterthought.
4. GENERATE — handle the async lifecycle
- Generation is asynchronous. Submit, capture the job ID, then poll
get_generation_status — do not assume instant results. Images: seconds. Video: tens of seconds to minutes.
- Submit independent assets in parallel (multiple
generate_image calls in one turn), then poll. This is the multi-asset speed advantage.
- On failure or content-policy rejection: report it plainly, adjust the prompt, retry once — don't loop silently.
- Save returned assets to the project's canonical asset path; never leave them only as URLs.
5. ASSEMBLE — deliver a coherent set
- Verify the set reads as one campaign (same character ID, palette, lighting language).
- Produce required derivatives (e.g. crop hero → OG 1200×630, square 1080×1080).
- Log what was generated (model, prompt, job ID) so it's reproducible and auditable.
Character Consistency (the differentiator)
For any recurring subject (a brand mascot, a course instructor avatar, a series protagonist):
create_character once from a reference image or description → get a character ID.- Reference that ID in every subsequent
generate_image / generate_video call.
list_characters to reuse across sessions and projects.
This is how you get a character that looks identical across an entire content series — the thing single-shot image tools cannot do.
Quality Bar (Frank DNA)
- Show, don't tell — the asset is the proof; don't describe what you'll make, make it.
- Premium by default — highest sensible resolution, deliberate composition, no AI-slop tells (mangled hands, garbled text, plastic skin). Inspect output and regenerate if it has them.
- Brand-locked — if a brand skill is active, every asset obeys its palette/voice/tokens.
- Reproducible — log model + prompt + seed/job ID for every keeper.
- Cost-aware — image-to-video before text-to-video; lower res for drafts, 4K for finals.
Composes With
frankx-brand / brand-guidelines → brand tokens for generationcontent-strategy / video-script → briefs that feed the studiosuno-mastery → score the videos this skill producesinfogenius command → research-grounded image prompts/studio and /generate-video commands → operator entry points
Reference
resources/model-matrix.md — full model selection matrix, aspect-ratio table, self-hosted config, cost tiers
