higgsfield-prompt
FeaturedUse when building, writing, refining, or structuring a Higgsfield AI prompt. Covers the MCSLA formula, prompt structure, narrative vs. timestamped formats, and how to write for both text-to-video and image-to-video workflows.
Install
Quality Score: 92/100
Skill Content
Details
- Author
- OSideMedia
- Repository
- OSideMedia/higgsfield-ai-prompt-skill
- Created
- 6 months ago
- Last Updated
- 2 weeks ago
- Language
- Python
- License
- MIT
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ai-video-prompting
Writes, improves, audits and splits prompts for AI video generators (Seedance, Kling, Veo, Runway, Luma, Pika, Sora, any image-to-video system), plus the storyboard, shot list, director treatment, camera direction, lighting, blocking, pacing, character continuity, dialogue and sound design behind them. Use when a scene, a shot breakdown or a storyboard is asked for, when a script has to become prompts, or when a prompt is shared and needs fixing. Also triggers on the same asks in Russian.
higgsfield-acting
Writes the character-performance layer of a video prompt as behavior under pressure, not displayed emotion — objective, obstacle, tactics, beats, subtext, listening, body/status/proxemics, and mandatory eye life. Produces a reusable 150–220-word acting master profile per character plus a per-scene rewrite of it, and a locked voice prompt. Use whenever a prompt needs acting, performance, or emotion direction; whenever characters read wooden, dead-eyed, or 'AI'; whenever a character must stay themselves across many shots; or when the user asks for character behavior, mannerisms, tics, a gait, or how someone reacts. Pairs with higgsfield-facs (muscle-level AU codes) and higgsfield-seedance (the prompt the paragraph goes into).