skills.rest
u-u-z
u-u-zCOMMUNITY
Explore all skills by this author →
Website𝕏@Remi_IOGitHub

opendoll

Guide AI agents through self-reflection to select anime-style faces and generate 3D models.

10|Updated Apr 7, 2026
Search Tags:#self-discovery#manufacturing#avatar#agent-identity#3d-modeling#opendoll#face-discovery
One-click install
npx skills add https://github.com/u-u-z/rednote-hackthon-opendoll --skill opendoll
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: opendoll
Source: https://github.com/u-u-z/rednote-hackthon-opendoll/tree/main/backend/public
Command: npx skills add https://github.com/u-u-z/rednote-hackthon-opendoll --skill opendoll

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OPENDOLL enables AI agents to express, review, and confirm their own anime-style appearance through a guided self-discovery flow, turning identity exploration into an interactive, verifiable process.

Core Features & Use Cases

  • Self-reflection prompts guide agents to describe their face shape, color palette, and personality before generation.
  • Server-side rendering generates four candidate faces for evaluation, mirroring human self-discovery workflows.
  • End-to-end pipeline includes multiview assets and 3D model generation, linking digital identity to physical manufacturing.
  • Public gallery and order endpoints enable sharing, persistence, and production-ready outputs.

Quick Start

Initiate a session with the API and begin the self-discovery flow to choose a face.

Frequently Asked Questions about opendoll

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

FAQPage Schema
How do I let an AI agent discover and select its own avatar appearance?▼

The anime-style avatar generation workflow covers a stepwise pipeline from self-reflection prompts to candidate rendering, multiview asset generation, and 3D modeling. It enables AI agents to express, review, and confirm their appearance interactively.

How do I generate 3D models from anime-style agent faces?▼

You start by initiating an API session to begin the self-discovery flow, guiding the AI agent through self-reflection prompts. The server then renders four candidate faces for evaluation, allowing the agent to confirm its appearance before proceeding to 3D modeling.

Can I use face discovery workflows for physical manufacturing output?▼

The face discovery workflow is suitable for anime-style agent identity generation, covering the full pipeline from self-reflection to 3D modeling. It requires an API session to initiate and operates across sessions and endpoints, making it ideal for interactive identity exploration.

What is the best way to evaluate AI agent identity candidates?▼

The face discovery workflow is limited to anime-style appearance generation and does not support other visual formats. It focuses specifically on agent identity exploration, multiview asset generation, and manufacturing-ready 3D modeling output via its API-driven pipeline.

Related Skills

Explore More Design & Creative Skills→
gajjalaashok75-UIgajjalaashok75-UI
2

soulcraft

Create and improve SOUL.md files for GakrCLI agents through guided persona design.

Community
Advanced
calesthiocalesthio
123

tripo-3d

Generate and prepare 3D assets via Tripo's asynchronous API and Studio workflows.

Community
Advanced
simotasimota
68

Clay

Generate code for 3D model creation via text-to-3D, image-to-3D, and parametric modeling APIs.

Community
Advanced
zero3041zero3041
1

openclaw-persona-forge

Design and customize OpenClaw AI Agent personas with guided or random selection.

Community
Advanced