higgsfield-acting
Writes the character-performance layer of a video prompt as behavior under pressure, not displayed emotion — objective, obstacle, tactics, beats, subtext,…
Use when the user is unsure which Higgsfield workspace fits their task, needs to decide between Cinema Studio / Lipsync Studio / Draw-to-Video / Sora 2 Trends / Click to Ad / Higgsfield Audio, or is asking 'what should I use for X'. This sub-skill routes by production problem
$ npx -y skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-workspaces --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/higgsfield-workspacesContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when the user is unsure which Higgsfield workspace fits their task, needs to decide between Cinema Studio / Lipsync Studio / Draw-to-Video / Sora 2 Trends / Click to Ad / Higgsfield Audio, or is asking 'what should I use for X'. This sub-skill routes by production problem
name: higgsfield-workspaces description: "Use when the user is unsure which Higgsfield workspace fits their task, needs to decide between Cinema Studio / Lipsync Studio / Draw-to-Video / Sora 2 Trends / Click to Ad / Higgsfield Audio, or is asking 'what should I use for X'. This sub-skill routes by production problem BEFORE model selection." user-invocable: true metadata: tags: [higgsfield, workspaces, routing, decision, cinema-studio, lipsync, draw-to-video, sora-trends, click-to-ad, higgsfield-audio] version: 1.2.0 updated: 2026-06-03 parent: higgsfield
Higgsfield is organized around workspaces, each one tuned for a specific kind of production work. The right starting question is not "which model should I use?" but "what am I actually trying to make?" Inside a workspace, model choice still matters — it shapes quality, speed, and cost — but a workspace mismatch costs more time than a suboptimal model. Pick the workspace by the task, then pick the model by the result you want.
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| Your production problem | Start with workspace | |-------------------------|----------------------| | Cinematic scene with deliberate camera direction | Cinema Studio | | Speaking character, dubbing, or avatar video | Lipsync Studio | | Rough idea, sketch, or storyboard test | Draw to Video / Sketch to Video | | Fast short-form or viral-style content | Sora 2 Trends | | Product ad or ecommerce variation | Click to Ad | | Narration, voice swap, or translation | Higgsfield Audio |
If the user's task matches more than one row, pick the workspace whose output most closely resembles the final deliverable — you can always chain into another workspace for polish or audio later.
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The professional filmmaking environment on Higgsfield. Built for multi-shot, character-consistent sequences where camera direction, genre framing, and visual cohesion matter. Cinema Studio 2.5 offers optical physics (camera body + lens stack) and built-in color grading; Cinema Studio 3.0 (Business/Team plan) adds native audio, Smart camera planning, and longer durations. Choose this workspace when the work needs to feel like a film. For prompt construction, Director Panel use, optical stack selection, and multi-shot planning, see `higgsfield-cinema`.
The workspace for putting words into a character's mouth. It pairs an image, video, or generated face with an audio track and synchronizes the lip movement to the speech. Use it for dubbed performances, talking-head avatars, character dialogue, and lipsync work layered on top of existing video generations. For audio layer design (dialogue, SFX, ambient, BGM) that feeds into Lipsync Studio, see `higgsfield-audio`. For character reference management and Soul Cast avatar generation that commonly sits upstream, see `higgsfield-soul`.
The workspace for taking a rough sketch, blocking diagram, or storyboard panel and turning it into a generated video. It exists to bridge the gap between paper-stage ideation and motion testing — the place to validate a shot idea before it earns the credits and time of a full Cinema Studio build.
**When to use:**
reference set is locked.
**Input characteristics:** the workspace is forgiving. Hand-drawn storyboards, blocking diagrams with stick figures or geometric placeholders, even a crude napkin sketch all work as input. Quality of line is not the point — clarity of compositional intent is. A messy sketch with a clear staging idea outperforms a polished sketch whose staging is muddled.
**The prompt's role:** the sketch carries composition and blocking; the prompt carries everything else. Subject details, environment, lighting, mood, and material qualities all live in the prompt. Think of the prompt as describing the realized scene the sketch was hinting at — the sketch told the engine *where* things sit and *how* they move; the prompt tells it *what* they are.
**Output expectations:** test-quality, short. The output is a tool for shot validation, not usually the final delivery. Treat the result as a draft, then either refine the prompt (if blocking is right but the realized scene is off) or re-block with a new sketch (if the staging itself needs to change).
**Two prompt patterns:**
including lighting and mood, and end with a camera direction that matches what the sketch implies. Use this when you want a faithful interpretation of the rough drawing.
and use the prompt to swap style, lighting, genre, or time-of-day across multiple generations. Same composition, different treatments. Useful for picking a visual direction before committing.
**Cross-reference:** when the test reads well and you want a longer, multi-shot realization, move into Cinema Studio with the validated blocking in mind. If you need higher fidelity earlier in the process — a pre-rendered hero frame that subsequent shots can reference — the Hero Frame workflow inside Cinema Studio is the alternative path. See `higgsfield-cinema` for that handoff.
A templated workspace built on top of the Sora 2 model, tuned for trend-led short-form content. The distinction worth holding onto: this is *not* the same as selecting Sora 2 as a raw model elsewhere on the platform. Trends wraps the model in pre-tuned templates optimized for viral pacing, vertical framing, and quick iteration cycles. The templating is the po
A comprehensive Claude skill library for generating high-quality prompts on Higgsfield AI — the cinematic video and image generation platform.
Writes the character-performance layer of a video prompt as behavior under pressure, not displayed emotion — objective, obstacle, tactics, beats, subtext,…
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