AI Media Generation — Domain Dispatcher

Maxim's skill domain for AI video and image prompt engineering. Combines 15 Maxim-authored cinematic styles (behavioral-moat-framed, see cinematic-styles/) with external technical references (20 Higgsfield sub-skills) — total 35 skills, 15 of which are Maxim's original IP with defensible behavioral-framework engineering.

---

Activation

This domain activates when a task involves:

• AI video or image generation (any model/platform)
• Video prompt writing or optimization
• Cinematic, commercial, or social media video production
• Product videos, brand stories, explainers, ads
• Camera movement and motion design for AI video
• Platform-specific video optimization (TikTok, YouTube, Instagram, LinkedIn)
• Higgsfield, Seedance, Kling, Sora, Veo, Wan, or any supported model
• Image generation with Soul, Nano Banana, Seedream, Flux, GPT Image

---

MCP Servers — Live Generation (optional)

Maxim's skill files teach Claude HOW to write generation prompts. To actually GENERATE videos/images, connect a Higgsfield MCP server:

Option A: higgsfield-mcp (Python — pip install)

pip install higgsfield-mcp
claude mcp add higgsfield -s user -e HIGGSFIELD_API_KEY=your-key -e HIGGSFIELD_SECRET=your-secret -- higgsfield-mcp

Tools: generate_image_soul, generate_video_dop, generate_speech_video, get_soul_styles, get_motions, create_character, get_job_status Source: geopopos/geo_higgsfield_ai_mcp

Option B: higgsfield-mcp (Bun/TypeScript)

git clone https://github.com/jfikrat/higgsfield-mcp.git
cd higgsfield-mcp && bun install
claude mcp add higgsfield -s user -- bun run src/index.ts

Tools: higgsfield_generate_image, higgsfield_generate_video, higgsfield_wait_for_job, higgsfield_list_models, higgsfield_check_cost Source: jfikrat/higgsfield-mcp

Without MCP (prompt-only mode)

If no MCP server is connected, Maxim writes the optimized prompt and the user pastes it into the Higgsfield/Seedance web UI manually. All 15 styles, MCSLA formula, camera vocabulary, and platform specs still work — just no automated generation.

API Key

Get credentials at: https://platform.higgsfield.ai

---

Skill Libraries

Maxim-authored Cinematic Styles (15 skills) — Maxim's original IP

Path: .claude/skills/ai-media-generation/cinematic-styles/ Coverage: 15 model-agnostic behavioral-framework-engineered cinematic styles. Each ships with a primary behavioral framework (Hook Model, AIDA, Peak-End Rule, Endowment Effect, Hero's Journey, Mirror Neurons, etc.) translated into specific cinematic structure for specific business outcomes (sales, lead gen, commitment, trust, purchase).

Entry point: cinematic-styles/README.md (moat framing + dispatch logic)

Predecessor: these styles replaced the retired community-packs/higgsfield-ai-prompts/ subtree (no-license content) in v1.0.0 with Maxim-authored equivalents that carry defensible IP. See cinematic-styles/README.md §6 for attribution notes.

External: higgsfield-ai-prompt-skill (20 sub-skills) — MIT vendored

Path: community-packs/higgsfield-ai-prompts/ Coverage: Model selection, camera, motion, audio, pipeline, prompt formula, image generation, troubleshooting, moodboards, recipes, style, and more. License: MIT (O-Side Media). Technical reference vocabulary — no behavioral-moat framing; Maxim wraps its use via dispatch logic.

Entry point: community-packs/higgsfield-ai-prompts/SKILL.md

External: awesome-gpt-image-2 (GPT-Image-2 structured prompt library) — MIT vendored

Path: community-packs/awesome-gpt-image-2/ Coverage: 21 industrial fill-in-the-blank prompt templates + a structured atomic schema (subject/task · composition/layout · style/materials · lighting · info-hierarchy) + 500+ reverse-engineered GPT-Image-2 cases across UI · charts/infographics · posters · brand · product · character · scene · document images. License: MIT (freestylefly). Templates + galleries stay upstream (referenced, not mirrored — see the pack's MAXIM_INTEGRATION.md). Prompt-engineering reference — no behavioral-moat framing on its own. Entry point: community-packs/awesome-gpt-image-2/MAXIM_INTEGRATION.md

Maxim Overlay — Image Generation (GPT-Image-2) 🟢 (the moat on top)

When an image-generation task activates (triggers: image generation · GPT Image · poster · infographic · UI mockup · product image · brand image), do NOT emit a raw template. Compose through the overlay:

1. Atomic schema (controllability — from the pack): fill subject/task · composition/layout · style/materials · lighting · info-hierarchy · output-spec (ratio · resolution · text legibility). Structured beats prose for batch + reuse.
2. Behavioral framing (ADR-007 — cite the framework): apply the visual-behavior framework that fits the goal — pre-attentive attributes (colour/size/orientation for what must be seen first), visual hierarchy + Gestalt (grouping, single focal point), Color Psychology (palette → intended emotion/action), Fitts' Law + Nielsen heuristics for UI mockups, AIDA / Peak-End for ad creative. State which framework drove the composition.
3. Brand-foundation voice (three-layer): load .brand-foundation/personal/ (+ operator + startup overlays); the palette, type, tone, and any embedded copy must pass the brand + ai-tells checks — on-brand, not generic-AI-look.
4. Compliance / ethics: CSO auto-loop on regulated / person-likeness / third-party-logo content; no deepfake-class person swap without consent.
5. Confidence tag (ADR-010): 🟢 only when schema + framework + brand all applied; 🔴 Maxim-UNENHANCED if a raw upstream template is used verbatim.

Generation (Layer 3 — future, gated): to produce pixels, a mxm-image MCP would call the image API (OpenAI images or an aggregator) — Maxim is model-agnostic (Maxim_MODEL_PROVIDER=openai), API key in Doppler. Not built today; this skill writes the governed prompt and the operator generates via their tool (or a connected higgsfield/image MCP).

---

Sub-Skill Routing

Maxim Cinematic Styles (15) — primary prompt generation

Task Signal	Business Outcome	Style Path
Cinematic / film / movie scene / brand film	Commitment + emotional brand alignment	cinematic-styles/cinematic/
3D CGI / 3D animation / premium product render	Purchase confidence + premium positioning	cinematic-styles/cgi-3d/
Cartoon / 2D animation / explainer	Learning retention + brand affinity	cinematic-styles/cartoon/
Comic to video / motion comic / episodic	Narrative engagement + series commitment	cinematic-styles/comic-to-video/
Fight / action / combat / game trailer	Arousal → sales lift	cinematic-styles/fight-scenes/
Motion design / kinetic type / explainer ad	Comprehension → conversion	cinematic-styles/motion-design-ad/
E-commerce / product ad / direct response	DIRECT PURCHASE (primary sales)	cinematic-styles/ecommerce-ad/
Anime / Japanese animation / youth market	Tribe identity + loyalty	cinematic-styles/anime-action/
Product 360 / turntable	Pre-ownership → purchase intent	cinematic-styles/product-360/
Music video / performance / artist	Cultural brand equity + identity alignment	cinematic-styles/music-video/
Social hook / TikTok / Reels / Shorts	LEAD GEN (top-of-funnel acquisition)	cinematic-styles/social-hook/
Brand story / mission / founder film	Long-form commitment + mission alignment	cinematic-styles/brand-story/
Fashion / lookbook / editorial	Aspirational desire → premium purchase	cinematic-styles/fashion-lookbook/
Food & beverage / ASMR / restaurant	CRAVING → ORDER (primary sales)	cinematic-styles/food-beverage/
Real estate / property / architectural	Showing request + offer (high-value lead gen)	cinematic-styles/real-estate/

Technical Sub-Skills (20)

Sub-Skill	Domain	Path
higgsfield-camera	Camera movements & angles	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-camera/
higgsfield-motion	Motion presets & dynamics	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-motion/
higgsfield-audio	Audio design & sound cues	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-audio/
higgsfield-pipeline	Generation pipeline & workflow	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-pipeline/
higgsfield-prompt	Prompt formula & structure	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-prompt/
higgsfield-image-shots	Image generation & shot design	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-image-shots/
higgsfield-models	Model selection & comparison	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-models/
higgsfield-cinema	Cinema techniques & language	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-cinema/
higgsfield-style	Visual style & color grading	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-style/
higgsfield-soul	Soul ID / Soul Cast / Soul HEX	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-soul/
higgsfield-seedance	Seedance-specific features	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-seedance/
higgsfield-moodboard	Moodboard creation	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-moodboard/
higgsfield-recipes	Genre recipe templates	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-recipes/
higgsfield-vibe-motion	Vibe-driven motion presets	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-vibe-motion/
higgsfield-mixed-media	Mixed media compositing	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-mixed-media/
higgsfield-apps	App integrations	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-apps/
higgsfield-assist	Assistant / help utilities	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-assist/
higgsfield-recall	Memory & recall system	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-recall/
higgsfield-troubleshoot	Troubleshooting & debugging	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/higgsfield-troubleshoot/
shared	Shared utilities & templates	community-packs/higgsfield-ai-prompts/mnt/user-data/outputs/higgsfield/skills/shared/

Retired in v1.0.0: Automation Skills (4)

The previously-vendored Playwright browser-automation skills (higgsfield-image-auto, seedance-auto-generate, ugc-hot-girl, ugc-video-auto) were retired in v1.0.0. Platform-specific website automation belongs to each platform's own tooling ecosystem, not to Maxim's IP portfolio. Users needing direct higgsfield.ai browser automation should install upstream tooling separately.

Maxim's role remains: generate the behaviorally-engineered prompt (model-agnostic). Delivery automation is a separate concern with different lifecycle considerations.

---

Behavioral Layer

Maxim Confidence Tagging

• 🟢 HIGH — Style-matched skill activated, MCSLA formula applied, platform specs validated
• 🟡 MEDIUM — General video/image prompt generated without style-specific skill
• 🔴 LOW — Raw prompt pass-through, no formula or platform optimization applied

Compliance Flags for Ad Content

• Ad disclosures: Flag when generated content requires FTC/ASA ad disclosure
• Brand safety: Validate content against brand guidelines before generation
• Platform terms: Flag content that may violate TikTok/Instagram/YouTube community guidelines
• IP/likeness: Flag when prompts reference real people, brands, or copyrighted works

Proactive Agent Loops

• Loop brand-guardian when brand assets or brand voice are involved
• Loop content-strategist for content calendar alignment
• Loop compliance skill when generating ad/commercial content
• Loop security-analyst when generating content involving PII or likeness

---

Core Prompt Formula: MCSLA

All video prompts should follow the MCSLA structure:

[Model] + [Camera] + [Subject] + [Look] + [Action]

• Model: Which AI model to use (Kling 3.0, Sora 2, Veo 3.1, Wan 2.7, Seedance 2.0, etc.)
• Camera: Named camera movement preset (Dolly In, FPV Drone, 360 Orbit, etc.)
• Subject: Who/what is in frame, with specific observable details
• Look: Visual style, color grade, lighting, aspect ratio
• Action: What changes, what moves, what happens (verbs, not adjectives)

For images, use the image prompt formula:

[Shot size] + [Angle] + [Movement keyword] of [subject]. [Pose]. [Environment]. [Lighting]. [Style].

Full formula reference: references/prompt-formula.md

---

Platform Optimization

Platform	Aspect	Hook Window	Duration	Notes
TikTok	9:16	0.8s	15-60s	Pattern interrupt in frame 1, trending audio, completion rate is king
YouTube Shorts	9:16	2s	up to 60s	Slightly more tolerance, still mobile-first
Instagram Reels	9:16	1.5s	15-90s	Aesthetic-first, visual polish matters more
LinkedIn	16:9 OK	2s	30-120s	Professional tone, insight-driven hook, subtitles required
YouTube Standard	16:9	2s	any	Cinematic OK, longer storytelling, SEO title/description matter

Full specs: references/platform-specs.md

---

2-Second Hook Framework

Every video prompt MUST address the first 2 seconds explicitly. Proven hook patterns:

1. Extreme Close-Up Snap to Wide Reveal — disorientation then context
2. Black Screen to Dramatic Light Burst — silence then explosion
3. Reverse Motion — unnatural movement catches the brain
4. Unexpected Scale — macro of familiar object reads as landscape
5. Silent Beat Then Explosive Sound — audio contrast
6. Extreme Color Shift — palette punch in 0.6s
7. Fast Movement Entering Frame — motion catches peripheral vision
8. Extreme Depth-of-Field Rack Focus — professional cinema technique
9. Stark Geometric Contrast — visual tension
10. Protagonist's Eyes Open — primal human attention grab
11. Disorienting Camera Rotation — sensory engagement
12. Scale Impossibility — tiny in vast or huge in small

Advanced: Stack 2-3 hooks in the opening 2 seconds for maximum impact.

---

Quick Reference Files

File	Purpose
references/style-guide.md	All 15 styles — when to use each
references/camera-vocabulary.md	Camera movement vocabulary
references/platform-specs.md	Platform optimization specs
references/prompt-formula.md	MCSLA formula and prompt templates

---

External Reference Files

File	Purpose
community-packs/higgsfield-ai-prompts/vocab.md	Full cinematic vocabulary (camera, shot size, style, lighting, audio)
community-packs/higgsfield-ai-prompts/model-guide.md	Video + image model comparison tables
community-packs/higgsfield-ai-prompts/image-models.md	Image model specs, UI controls, pricing
community-packs/higgsfield-ai-prompts/prompt-examples.md	Production prompt examples by genre
community-packs/higgsfield-ai-prompts/photodump-presets.md	29 Photodump style presets

---

Copyright (c) 2026 iSystematic Inc. Maxim product. BSL 1.1.