higgsfield-acting

Writes character-performance layers for video prompts as behavior under pressure.

Updated Jul 15, 2026
One-click install
npx skills add https://github.com/executiveusa/buffer-blaster- --skill higgsfield-acting-executiveusa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: higgsfield-acting
Source: https://github.com/executiveusa/buffer-blaster-/tree/main/skills/higgsfield/skills/higgsfield-acting
Command: npx skills add https://github.com/executiveusa/buffer-blaster- --skill higgsfield-acting-executiveusa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI-generated video characters often read as wooden, dead-eyed, or emotionally flat because prompts describe displayed emotion instead of playable behavior. This Skill rewrites the performance layer of a video prompt as objective-driven behavior — objectives, obstacles, tactics, beats, subtext, body, and eye life — so characters stay consistent and alive across shots. ## Core Features & Use Cases - Acting master profiles: Produces a reusable 150–220-word character profile with fixed block order covering physique, vocal profile, triggered tics, eye life, named gait, and a mask-and-crack transformation clause. - Per-scene adaptation: Rewrites the master profile into each scene's posture, action, and beat while keeping identity constant, and locks a verbatim voice prompt per character. - Quality control: Ships a 15-symptom atlas of bad acting with prompt-level fixes and a 0–5 performance self-check scale targeting level 4+ on hero shots. - Use Case: When a Seedance prompt produces a character who stares blankly and gestures theatrically, use this Skill to rebuild the CHARACTER ACTING block with an objective, 2–4 visible beat changes, listening reactions, and continuous eye life. ## Quick Start Ask the AI to write an acting master profile and per-scene performance paragraph for your character using the higgsfield-acting rules before inserting it into your Seedance video prompt.

Frequently Asked Questions about higgsfield-acting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write better character acting in AI video prompts?

Write behavior under pressure instead of displayed emotion: give the character an objective aimed at a partner, an obstacle, changing tactics, and 2–4 visible beat changes. Add listening reactions, physical business for the hands, and continuous eye life rather than naming emotions like angry or sad.

What is an acting master profile for video generation?

An acting master profile is a 150–220-word paragraph written once per character covering physique, vocal profile, triggered tics, eye life, a named gait, and a mask-and-crack transformation clause. It is rewritten per scene rather than pasted, keeping the character consistent across shots.

Why do AI-generated characters have dead eyes?

Dead eyes come from frozen stares without saccades, blinks, or purposeful gaze work, and catchlights alone do not fix them. The fix is giving the eyes a task — checking the partner's reaction, stealing looks, measuring responses — so the mind visibly works moment to moment.

Does this work with Seedance and Higgsfield video prompts?

Yes, the output is designed as the PERFORMANCE or CHARACTER ACTING block inside a standard Seedance prompt and pairs with higgsfield-facs for muscle-level AU codes. It does not change camera, lighting, wardrobe, or grade blocks.

Should the voice prompt change between scenes?

No, the voice prompt is locked per character and pasted verbatim into the audio field every time they speak. Even synonym swaps like warm for rich shift the generated voice, so keep one voice bible and paste from it.

How many characters can a scene track reliably?

The engine reliably tracks at most three characters across cuts, so write the reaction wave for the tracked pair or trio only. Everyone else should be described as crowd mass rather than given individual acting paragraphs.