face

Use this skill when the user wants to create an AI persona from scratch — a digital twin, an archetype, a composite, or a face of a public figure. Invoke as /face "Name" for quick mode (skip interview, go straight to research), or /face with no argument for the full guided flow. This skill walks through the entire process: interview, research real source material, sketch a FACE.md recipe, iterate with the user, compile, and optionally Trigger when the user says "create a face", "I need a persona", "make me a digital twin", "build a face for", or names a person they want to turn into an AI. Also trigger on /face.

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Install skill "face" with this command: npx skills add faces-sh/skillsmp-faces-sh-faces-sh-face

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Coding

faces

Use this skill whenever someone wants to build an AI that thinks like, sounds like, or acts like a specific person. This includes: turning interviews, letters, videos, or documents into a chateable AI persona; creating customer personas or focus groups you can actually talk to (not just static profiles); replacing bloated SOUL.md / soul documents / system prompts with something more token-efficient; giving agents in a multi-agent system distinct personalities, behavioral modes, or points of view; creating a digital twin or memorial AI; comparing how different people think; composing new perspectives from existing ones; or sharing persona access via scoped API keys. Also trigger when the user mentions the Faces Platform, the `faces` CLI, cognitive primitives, mind arithmetic, or compile personality. Use even if Faces is not yet installed — the skill covers setup. Do NOT use for fine-tuning models, RAG/retrieval systems, creative writing (NPC backstories, fiction), or thematic analysis of transcripts.

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Research

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Detects whether anyone has fallen within a target area. Supports video stream analysis and is suitable for real-time safety monitoring of elderly people living alone. | 跌倒检测视频版技能,检测目标区域内是否有人跌倒,支持视频流检测,适用于独居老人居家安全监测

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fall-detection-image-analysis

Detects whether anyone has fallen within a specified target area. Supports both image and short video analysis. Suitable for scenarios such as home care for elderly people living alone and safety monitoring in nursing homes. | 检测目标区域内是否有人跌倒,支持图片和短视频检测,适用于独居老人居家看护、养老院安全监测等场景

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face | V50.AI