From maxim
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.
npx claudepluginhub drnabeelkhan/maxim --plugin mxm-pack-l3-4-govtechThis skill uses the workspace's default tool permissions.
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.
Generates design tokens/docs from CSS/Tailwind/styled-components codebases, audits visual consistency across 10 dimensions, detects AI slop in UI.
Records polished WebM UI demo videos of web apps using Playwright with cursor overlay, natural pacing, and three-phase scripting. Activates for demo, walkthrough, screen recording, or tutorial requests.
Delivers idiomatic Kotlin patterns for null safety, immutability, sealed classes, coroutines, Flows, extensions, DSL builders, and Gradle DSL. Use when writing, reviewing, refactoring, or designing Kotlin code.
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.
This domain activates when a task involves:
Maxim's skill files teach Claude HOW to write generation prompts. To actually GENERATE videos/images, connect a Higgsfield MCP server:
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
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
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.
Get credentials at: https://platform.higgsfield.ai
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.
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
| 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/ |
| 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/ |
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.
brand-guardian when brand assets or brand voice are involvedcontent-strategist for content calendar alignmentcompliance skill when generating ad/commercial contentsecurity-analyst when generating content involving PII or likenessAll video prompts should follow the MCSLA structure:
[Model] + [Camera] + [Subject] + [Look] + [Action]
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 | 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 |
| 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
Every video prompt MUST address the first 2 seconds explicitly. Proven hook patterns:
Advanced: Stack 2-3 hooks in the opening 2 seconds for maximum impact.
| 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 |
| 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 |
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