higgsfield-3d
Use when the user wants a 3D model, mesh or GLB out of Higgsfield — image-to-3D, multi-view-to-3D, text-to-3D, rigging or…
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
Claude Code
$ npx -y skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-acting --agent claude-code
Codex
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-acting -a codex -y
Cursor
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-acting -a cursor -y
Gemini CLI
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-acting -a gemini-cli -y
GitHub Copilot
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-acting -a github-copilot -y
OpenCode
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-acting -a opencode -y
Windsurf
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-acting -a windsurf -y
name: higgsfield-acting description: "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)." user-invocable: true metadata: tags: [higgsfield, seedance, acting, performance, character, behavior, emotion, subtext, beats, eye-life, voice, ensemble, master-profile] version: 1.3.0 updated: 2026-09-26 parent: higgsfield
`[OFFICIAL — Higgsfield "Hell Grind" open-source brief]` — the performance system behind Higgsfield's 95-minute AI feature film, adapted to this repo's prompt surfaces. That tag covers the **untagged** text only: § The layer above the pillars, the silent-listener task, the eye-task paragraph and the voice-bible note each carry their own tag and are not from the brief (label legend: `../shared/provenance.md`).
**The core axiom of the entire system: acting is BEHAVIOR under pressure, not a display of emotion.** A character wants something, something is in the way, and they act to get it. Emotion is a byproduct of that struggle — never the thing you write directly.
This is a **layer on top of** `../higgsfield-seedance/SKILL.md`: the paragraph this skill produces goes into the PERFORMANCE / CHARACTER ACTING block of an otherwise normal Seedance prompt. It does not change camera, light, wardrobe, or grade.
*Generated-checked block (scripts/build_index.py verifies anchors). Routing aids — read the linked sections for the rules.*
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| Layer | Skill | What it controls | |---|---|---| | **Craft** — why the character does anything | **this skill** | objective, obstacle, tactics, beats, subtext, status, business | | Muscle | `../higgsfield-facs/SKILL.md` | facial Action Unit codes (AU12, AU6…) | | Named expressions | `../higgsfield-soul/SKILL.md` § Micro-Expressions | expression vocabulary for identity work | | Production form | `../higgsfield-seedance/HELL-GRIND.md` § Two extra blocks | the CHARACTER ACTING block this output fills | | Backstory | `../higgsfield-character-design/SKILL.md` | who the character is before any scene exists | | Structure | `../higgsfield-scene-engine/SKILL.md` | whether the scene earns its credits — it uses *goal*, *obstacle* and *tactic* at the plot level; the term map is in its § Where this sits before prompting |
Use this skill to decide **what the body does**; use FACS to specify **which muscles** do it in a close-up. They compose — a FACS beat schedule inside a paragraph written by these rules is the highest-resolution performance the platform supports.
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A comprehensive Claude skill library for generating high-quality prompts on Higgsfield AI — the cinematic video and image generation platform.
Use when the user wants a 3D model, mesh or GLB out of Higgsfield — image-to-3D, multi-view-to-3D, text-to-3D, rigging or…
Use when the user asks about Higgsfield's one-click Apps, wants to know which app to use for a specific output, or needs guidance…
Use when the user asks about Higgsfield Assist (the built-in GPT-5 copilot), how to use the platform's native AI assistant,…
Use when the user asks about audio in Higgsfield videos, needs to add dialogue or lip-sync, wants sound effects or ambient sound…
Use when the user asks about camera movements, shot types, or how to describe camera behavior in a Higgsfield prompt. Contains…
Use when the user mentions Higgsfield Canvas, a node-based or node graph workspace, an infinite board/canvas, chaining…
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use…
AI-driven presentation workflow for generating editable PPTX decks and slides, reconstructing page visuals, creating reusable…
Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style…
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to…