Agent skill

Create 3D Avatar

Turn a text prompt (or reference image) into a rigged, animation-ready 3D avatar (GLB).

Install Create 3D Avatar

skills CLI

$ npx skills add nirholas/three.ws --skill create-3d-avatar -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install nirholas/three.ws create-3d-avatar --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/create-3d-avatar .claude/skills/create-3d-avatar && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "create-3d-avatar" agent skill from https://github.com/nirholas/three.ws/tree/main/.agents/skills/create-3d-avatar into .claude/skills/create-3d-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-3d-avatar", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/nirholas/three.ws/tree/main/.agents/skills/create-3d-avatar

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add nirholas/three.ws --skill create-3d-avatar -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install nirholas/three.ws create-3d-avatar --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/create-3d-avatar .agents/skills/create-3d-avatar && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "create-3d-avatar" agent skill from https://github.com/nirholas/three.ws/tree/main/.agents/skills/create-3d-avatar into .agents/skills/create-3d-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-3d-avatar", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add nirholas/three.ws --skill create-3d-avatar -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install nirholas/three.ws create-3d-avatar --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/create-3d-avatar .cursor/skills/create-3d-avatar && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "create-3d-avatar" agent skill from https://github.com/nirholas/three.ws/tree/main/.agents/skills/create-3d-avatar into .cursor/skills/create-3d-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-3d-avatar", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/nirholas/three.ws.git --path .agents/skills/create-3d-avatar

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add nirholas/three.ws --skill create-3d-avatar -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install nirholas/three.ws create-3d-avatar --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/create-3d-avatar .gemini/skills/create-3d-avatar && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "create-3d-avatar" agent skill from https://github.com/nirholas/three.ws/tree/main/.agents/skills/create-3d-avatar into .gemini/skills/create-3d-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-3d-avatar", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install nirholas/three.ws create-3d-avatar

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add nirholas/three.ws --skill create-3d-avatar -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/create-3d-avatar .github/skills/create-3d-avatar && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "create-3d-avatar" agent skill from https://github.com/nirholas/three.ws/tree/main/.agents/skills/create-3d-avatar into .github/skills/create-3d-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-3d-avatar", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add nirholas/three.ws --skill create-3d-avatar -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install nirholas/three.ws create-3d-avatar --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/create-3d-avatar .opencode/skills/create-3d-avatar && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "create-3d-avatar" agent skill from https://github.com/nirholas/three.ws/tree/main/.agents/skills/create-3d-avatar into .opencode/skills/create-3d-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-3d-avatar", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: create-3d-avatar
GitHub stars: 226
Token cost: ~1.6k tokens
SKILL.md length: 629 words
Files: 1
Skills in repo: 165
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Turn a text prompt (or reference image) into a rigged, animation-ready 3D avatar (GLB).

Works in 2 steps: Give the user the pose-studio / viewer… → Give the glbUrl for download / import…
The user want to create
SKILL.md covers When to use which tool, Fastest path — the MCP tool, Portable path — the hosted… and Manual two-step (REST), plus 4 more sections
Calls curl; reaches three.ws

What it does

Create 3D Avatar is an agent skill from nirholas/three.ws. Turn a text prompt (or reference image) into a rigged, animation-ready 3D avatar (GLB). Use when you or the user want to create, generate, or make a 3D avatar, character, or humanoid figure that can be posed and animated — "make a 3D avatar of a knight", "generate a character I can animate", "create a rigged astronaut". Generates the mesh and adds a humanoid skeleton in one step. Returns a GLB URL plus a pose-studio link.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: Open-source platform for 3D AI agents. Turn text or a photo into a rigged, animated GLB avatar, give it an LLM brain, memory and a wallet, and embed it anywhere with one web… The licence is MIT.

When your agent uses it

The user want to create
Make a 3D avatar
Humanoid figure that can be posed and animated — make a 3D avatar of a knight
Generate a character I can animate

Example prompts

“make a 3D avatar of a knight”
“generate a character I can animate”
“create a rigged astronaut”
“/create-3d-avatar”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

Give the user the pose-studio / viewer link — they can pose and preview the
Give the glbUrl for download / import into a 3D engine; it already carries

What it can do on your machine

Read from SKILL.md and the folder at commit 238ef60. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- three.ws
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Create 3D Avatar loads about 1.6k tokens when it runs. Until then it costs about 111 tokens; SKILL.md has 629 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~111
When it runs · the whole SKILL.md, loaded when a task matches: ~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nirholas/three.ws at commit 238ef60, republished under its MIT licence (© nirholas). 629 words, ~1,574 tokens.

Download SKILL.mdSave it as .claude/skills/create-3d-avatar/SKILL.md (or your agent's skills folder).

name: create-3d-avatar
description: Turn a text prompt (or reference image) into a rigged, animation-ready 3D avatar (GLB). Use when you or the user want to create, generate, or make a 3D avatar, character, or humanoid figure that can be posed and animated — "make a 3D avatar of a knight", "generate a character I can animate", "create a rigged astronaut". Generates the mesh and adds a humanoid skeleton in one step. Returns a GLB URL plus a pose-studio link.
when_to_use: User wants a posable/animatable humanoid character. For a static object or prop, use generate-3d-model. To rig a GLB you already have, use rig-a-model.
license: MIT
metadata.category: 3d/creative
metadata.cross-platform-safe: true
metadata.pack: three-ws-skills

Create a rigged 3D avatar

Turn a text prompt or a reference image into a rigged, animation-ready humanoid avatar (GLB). One call generates the textured mesh, then auto-rigs it — adding a humanoid skeleton and skin weights — so the model can be posed and play animation clips immediately.

The result is a glbUrl for the rigged model plus a pose-studio link that opens the avatar ready to pose in the browser.

When to use which tool

Goal	Use
A posable humanoid character from text/image	this skill
A static object / prop / creature	`generate-3d-model`
Add a skeleton to a GLB you already generated	`rig-a-model`

Auto-rigging assumes a humanoid figure. A clearly non-humanoid subject (furniture, vehicle, quadruped) is steered to generate-3d-model instead.

Fastest path — the MCP tool

If the three.ws MCP server is connected, call the one-step avatar tool:

Tool: forge_avatar
Input: { "prompt": "<character description>" } or { "image_url": "<https URL to a reference image>" }
- prompt — describe a single full-body humanoid in a neutral standing pose: "a friendly cartoon astronaut in a glossy white suit".
- image_url — reconstruct and rig a character from a photo/render.
- allow_non_humanoid — set true only to rig a non-humanoid subject anyway.
Returns: the rigged glbUrl (or riggedGlbUrl), the intermediate mesh URL, a pose-studio link, and per-stage timing.

For a fast unrigged figure (no skeleton), use text_to_avatar instead — same inputs, mesh only.

Portable path — the hosted HTTP endpoint

No MCP client needed. The free hosted lane is a public JSON-RPC endpoint at https://three.ws/api/mcp-studio:

bash

curl -s -X POST https://three.ws/api/mcp-studio \
  -H 'content-type: application/json' \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "forge_avatar",
      "arguments": { "prompt": "a friendly cartoon astronaut in a glossy white suit" }
    }
  }'

structuredContent returns the rigged model:

json

{
  "kind": "avatar",
  "glbUrl": "https://three.ws/cdn/creations/def456/rigged.glb",
  "viewerUrl": "https://three.ws/viewer?src=https%3A%2F%2Fthree.ws%2F...",
  "format": "glb",
  "rigged": true,
  "prompt": "a friendly cartoon astronaut in a glossy white suit"
}

Manual two-step (REST)

forge_avatar is generate-then-rig bundled. You can run the steps yourself over POST /api/forge — generate a mesh, then rig it:

bash

# 1. Generate the figure (see generate-3d-model/reference.md for the submit/poll shape)
#    "tier": "high" matches what forge_avatar/text_to_avatar request automatically —
#    it is the tier the router maps to the self-host Hunyuan3D lane for IRL realism.
curl -s -X POST https://three.ws/api/forge -H 'content-type: application/json' \
  -d '{ "prompt": "a friendly cartoon astronaut in a glossy white suit", "tier": "high" }'

# 2. Rig the resulting GLB (see rig-a-model)
curl -s -X POST "https://three.ws/api/forge?action=rig" -H 'content-type: application/json' \
  -d '{ "glb_url": "<glbUrl from step 1>" }'

What to do with the result

Give the user the pose-studio / viewer link — they can pose and preview the rigged avatar in the browser.
Give the glbUrl for download / import into a 3D engine; it already carries a humanoid skeleton and skin weights, so animation clips play on it.

Show full SKILL.md (312 more words)Show less

Prompting tips

One full-body humanoid, neutral standing pose, arms slightly away from the body — best for a clean rig.
Name the silhouette and materials: "a tall slender elf ranger in green leather armor". Avoid scenes, props held in hand, or multiple characters.
Hands are the hardest part of the mesh to get right. forge_avatar / text_to_avatar already direct the generator toward relaxed, open hands with fingers separated and visible (never a fist, never a hand hidden behind the body or in a pocket) — do not fight that by asking for "hands on hips" or "arms crossed" unless you accept a higher chance of fused-finger geometry. Asking is not the same as getting: measured across six personas on 2026-09-08, a prompt that explicitly said "hands open, fingers separated" still came back with both hands fused into one clasped blob at the chest in one case, and with cleanly separated fingers in another. What correlates with separated fingers is the hands being away from the torso and from each other in the described pose, so say where the hands are ("arms hanging at his sides, palms forward"), not just what they are doing.
Both avatar tools always request the platform's high quality tier under the hood — the self-host Hunyuan3D lane (people/organic-subject strength, portrait realism cues on the reference image) instead of the faster draft/standard default. This is automatic; no input needed.

Higher-fidelity & paid lanes

The full three.ws MCP server also exposes higher-fidelity, art-directed and paid avatar lanes. The free hosted path above is the cross-platform-safe one. The rig internals (skeleton convention, what makes a model riggable) live in the rig-a-model skill.

Errors

rate_limited / busy — honor retryAfter and retry.
not_configured — lane momentarily cold; retry shortly.
Generation succeeded but rigging failed — you still get the unrigged mesh URL; hand it back and offer to retry rigging via rig-a-model.

Never report a dead or empty link as success.

Files

Just SKILL.md in .agents/skills/create-3d-avatar of nirholas/three.ws.

Open the folder on GitHubat commit 238ef60

Compare with similar skills

Create 3D Avatar next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Create 3D Avatar compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Create 3D Avatar this skillnirholas/three.ws	226	—	~1.6k	Automated safety check: Pass	MIT	today
MCP Server Builderanthropics/skills	180k	62 repos	~2.3k	Automated safety check: Pass	Apache-2.0	2 days ago
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official	37k	11 repos	~4.1k	Automated safety check: Notes	Apache-2.0	today
Using Superpowersfarm-fe/farm	5.6k	34 repos	~1.4k	Automated safety check: Pass	MIT	15 days ago
Executing Plans Inlineobra/superpowers	296k	2 repos	~5.1k	Automated safety check: Pass	MIT	today
Claude Code Agent Developmentanthropics/claude-plugins-official	37k	8 repos	~2.8k	Automated safety check: Pass	Apache-2.0	today

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Questions about Create 3D Avatar

What does Create 3D Avatar do?

Turn a text prompt (or reference image) into a rigged, animation-ready 3D avatar (GLB). ws. Turn a text prompt (or reference image) into a rigged, animation-ready 3D avatar (GLB).

When should I use Create 3D Avatar?

Create 3D Avatar fits situations like: the user want to create; make a 3D avatar; humanoid figure that can be posed and animated — make a 3D avatar of a knight; generate a character I can animate.

How do I install Create 3D Avatar in Claude Code?

Run `npx skills add nirholas/three.ws --skill create-3d-avatar -a claude-code`. Or copy the skill folder (.agents/skills/create-3d-avatar in nirholas/three.ws) into .claude/skills/create-3d-avatar in your project. Claude Code loads it when a task matches its description.

How do I install Create 3D Avatar in Codex?

Run `npx skills add nirholas/three.ws --skill create-3d-avatar -a codex`. Or copy the skill folder (.agents/skills/create-3d-avatar in nirholas/three.ws) into .agents/skills/create-3d-avatar in your project. Codex loads it when a task matches its description.

Can I use Create 3D Avatar in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nirholas/three.ws --skill create-3d-avatar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-3d-avatar, .gemini/skills/create-3d-avatar, .github/skills/create-3d-avatar and .opencode/skills/create-3d-avatar in your project.

What does Create 3D Avatar need to run?

Going by SKILL.md and its folder, Create 3D Avatar needs the command-line tools its instructions call (curl).

Does Create 3D Avatar access the network?

SKILL.md names 1 domain. In commands or code: three.ws; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Create 3D Avatar safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Create 3D Avatar use?

Create 3D Avatar is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Create 3D Avatar use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Create 3D Avatar?

Skills that share tags, products or a category with Create 3D Avatar: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 37k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Create 3D Avatar?

nirholas (a GitHub user) maintains it in nirholas/three.ws, which has 226 GitHub stars. The repository holds 165 skills in this directory. The repository was last updated on October 7, 2026.

Source: nirholas/three.ws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Create 3D Avatar

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Create a rigged 3D avatar

When to use which tool

Fastest path — the MCP tool

Portable path — the hosted HTTP endpoint

Manual two-step (REST)

What to do with the result

Prompting tips

Higher-fidelity & paid lanes

Errors

Files

Compare with similar skills

Similar skills

More from nirholas/three.ws

Related

Questions about Create 3D Avatar