facial-expression-prompting

Generates complete AI video prompts for character performance with emotional progression, camera, and audio.

33|5|Updated Jul 20, 2026
One-click install
npx skills add https://github.com/zhouwei713/facial-expression-prompting --skill facial-expression-prompting-zhouwei713
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: facial-expression-prompting
Source: https://github.com/zhouwei713/facial-expression-prompting
Command: npx skills add https://github.com/zhouwei713/facial-expression-prompting --skill facial-expression-prompting-zhouwei713

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Vague character descriptions like "she is sad" produce generic, template-like AI video performances with abrupt emotions, no motivation, and inconsistent characters. This Skill expands one-line briefs into complete, copy-ready video prompts with dramatic motivation, staged emotional progression, microexpressions, camera direction, and adaptive duration. ## Core Features & Use Cases - Complete video prompt generation: Expands vague briefs into full prompts covering adult character identity, scene, dramatic engine (trigger, goal, obstacle, protective strategy, subtext), exact timeline, camera, lighting, audio, and negative constraints. - Performance block mode: Produces insert-ready facial, breath, body, and voice acting instructions that preserve a user's existing scene, camera, and lighting decisions. - Adaptive duration and timeline: Selects exact video length (3-15 seconds) from required dramatic beats and writes chronological timelines with staggered eye, mouth, jaw, and breath changes. - Use Case: Given "an emperor, close-up, from shock to composure to hidden resolve", it invents a triggering event, stages the emotion through gaze, eyelids, and jaw tension, and outputs a prompt ready for Seedance, Sora, Kling, Runway, or Veo. ## Quick Start Ask the agent to turn a vague character idea like "a modern office woman sees her crush walking over" into a complete AI video prompt with motivation, timeline, camera, and audio.

Frequently Asked Questions about facial-expression-prompting

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

FAQPage Schema
How do I write better AI video prompts for character emotions?▼

Replace emotion labels with a causal chain: trigger, goal, obstacle, protective strategy, and concealed subtext. Then stage the performance so the eyes change first, followed by mouth, jaw, breath, and body, with an exact timeline and residue beat after the emotional apex.

How do I generate prompts for Sora, Kling, or Runway character acting?▼

Provide a vague brief such as a character plus an emotion, and the Skill expands it into a complete prompt with adult character identity, scene, dramatic motivation, exact duration, timeline, camera, lighting, audio, and negative constraints ready to paste into the video model.

Can I add facial expression detail to an existing video prompt?▼

Yes. Performance block mode returns an insert-ready block covering facial, breath, body, and voice acting while preserving your existing scene, camera, and lighting instructions unchanged. Camera compatibility advice appears only as an optional note.

How long should an AI video clip be for emotional acting?▼

Duration is derived from required beats rather than a fixed default. A single microexpression needs about 3-4 seconds, recognition plus concealment 5-6 seconds, dialogue or interaction 7-9 seconds, and multi-stage emotional reversals 10-15 seconds.

Why do AI-generated characters show stiff or generic expressions?▼

Models default to template expressions when prompts only name emotions. Fixes include adding gaze targets, eyelid and jaw detail, staggered channel timing, a neutral baseline, and negative constraints against instant maximum emotion, rubber mouths, and identity drift.