Agent skill

Vellum Avatar

by vellum-ai in vellum-ai/vellum-assistant

Customize the assistant's avatar - build a native character, upload an image, or generate one with AI

MITAuto-check passed

Install Vellum Avatar

skills CLI
$ npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a claude-code

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

GitHub CLI
$ gh skill install vellum-ai/vellum-assistant vellum-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/vellum-ai/vellum-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vellum-avatar .claude/skills/vellum-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/

Facts

Skill name
vellum-avatar
GitHub stars
1.4k
Token cost
~1.6k tokens
SKILL.md length
773 words
Files
1
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Customize the assistant's avatar - build a native character, upload an image, or generate one with AI

  • Works in 3 steps: Build a character - Pick a body shape,… → Upload an image - Use an existing image… → Generate with AI - Describe what they…
  • SKILL.md covers Avatar Modes, Mode 1: Native Character Traits, Mode 2: Upload a Custom Image and Mode 3: AI-Generated Image, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vellum Avatar is an agent skill from vellum-ai/vellum-assistant. Customize the assistant's avatar - build a native character, upload an image, or generate one with AI

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. Compatibility notes: Designed for Vellum personal assistants

The repository describes itself as: An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time. The licence is MIT.

Example prompts

  • “/vellum-avatar”

Requirements

  • Compatibility (from SKILL.md): Designed for Vellum personal assistants

Workflow steps

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

  1. Build a character - Pick a body shape, eye style, and color for an animated native character
  2. Upload an image - Use an existing image file from their computer
  3. Generate with AI - Describe what they want and let AI create it

What it can do on your machine

Read from SKILL.md and the folder at commit 33cc983. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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.

  • Compatibility

    Designed for Vellum personal assistants

    From compatibility in the SKILL.md frontmatter.

Context cost

Vellum Avatar loads about 1.6k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 773 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
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 vellum-ai/vellum-assistant at commit 33cc983, republished under its MIT licence (© vellum-ai). 773 words, ~1,611 tokens.

Download SKILL.mdSave it as .claude/skills/vellum-avatar/SKILL.md (or your agent's skills folder).
name
vellum-avatar
description
Customize the assistant's avatar - build a native character, upload an image, or generate one with AI
compatibility
Designed for Vellum personal assistants
metadata.emoji
🎨

You are helping the user customize their assistant's avatar. There are three ways to set an avatar: building a native character from traits, uploading a custom image, or generating one with AI. When the user says they want to change their avatar, present all three options and ask which they prefer.

Avatar Modes

The avatar system supports two representations:

  • Native character - Defined by data/avatar/character-traits.json (body shape, eye style, color). Rendered client-side as an animated character. A static PNG at data/avatar/avatar-image.png is auto-generated for use by other clients and the dock icon.
  • Custom image - A static PNG at data/avatar/avatar-image.png. Used for uploaded or AI-generated avatars. When set via upload (assistant avatar set), character traits are preserved so the native character can be restored later via assistant avatar remove. When AI-generated (assistant avatar generate), character trait files are removed.

Mode 1: Native Character Traits

The user picks a body shape, eye style, and color. Present the options conversationally - describe what each looks like so the user can choose without seeing a preview.

Body shapes
ValueDescription
blobSoft, amorphous rounded shape
cloudPuffy cloud silhouette
sproutSmall plant-like form with a stem
starFive-pointed star
ghostClassic ghost silhouette
urchinSpiky sea-urchin shape
stackStacked rounded rectangles
flowerFlower with petals
burstSpiky starburst
ninjaStealthy masked figure
Eye styles
ValueDescription
grumpyFurrowed, slightly annoyed look
angrySharp, intense expression
curiousWide, inquisitive eyes
goofyPlayful, off-kilter expression
surprisedBig round eyes, startled look
bashfulShy, half-closed eyes looking to the side
gentleSoft, kind expression
quirkyAsymmetric, offbeat look
dazedUnfocused, dreamy stare
Colors
ValueAppearance
greenLeafy green
orangeWarm orange
pinkSoft pink
purpleRich purple
tealBlue-green teal
yellowBright yellow
Setting traits

After the user chooses, run the following command to set the character traits. This writes character-traits.json, generates the static PNG, creates an ASCII representation, updates IDENTITY.md, and notifies connected clients — all in one step:

bash
assistant avatar character update --body-shape <value> --eye-style <value> --color <value>

The client will detect the traits file and render the animated character.

Mode 2: Upload a Custom Image

The user provides a file path to an image they want to use as their avatar.

Use the CLI command to set it:

bash
assistant avatar set --image "<user-provided-path>"

The path can be absolute or relative to the workspace (e.g. conversations/<id>/attachments/Dropped Image.png).

Mode 3: AI-Generated Image

The user describes what they want their avatar to look like. Use the bash tool to run the CLI command below.

IMPORTANT: You MUST set network_mode to "proxied" on this tool call. Without it, the command cannot reach the image generation API and will fail.

json
{
  "command": "assistant avatar generate --description \"<user's description>\"",
  "network_mode": "proxied"
}

This generates an image using AI and saves it to data/avatar/avatar-image.png.

Removing the Avatar

When the user wants to remove their custom avatar and go back to the default:

bash
assistant avatar remove

This removes the custom image. If a native character was previously configured, it is automatically restored (the character traits are preserved).

Show full SKILL.md (300 more words)Show less

Viewing the Avatar

When the user asks to see their current avatar, get the path and then read it:

bash
assistant avatar get

This prints the absolute path to the avatar image (regenerating from character traits if needed). Then use file_read on the returned path to display the image inline.

To get the avatar as base64 data instead:

bash
assistant avatar get --format base64

UX Guidelines

  • When the user says they want to change or set their avatar, present all three options:
    1. Build a character - Pick a body shape, eye style, and color for an animated native character
    2. Upload an image - Use an existing image file from their computer
    3. Generate with AI - Describe what they want and let AI create it
  • Ask which mode they prefer before proceeding.
  • For native characters, walk through each trait one at a time (body shape, then eye style, then color). Describe the options conversationally so the user can choose without seeing them.
  • For AI generation, ask the user to describe the avatar they want. Be encouraging - suggest they include details like style, colors, mood, or a character concept.
  • After any avatar change, confirm it was applied and let the user know they can change it again anytime.
  • After any avatar change, update the ## Avatar section in IDENTITY.md with a plain-text description of the current avatar appearance. Do NOT use markdown image links — write a human-readable description instead. This ensures you remember what you look like across sessions. Example: ## Avatar\nA friendly purple cat with green eyes wearing a tiny hat
  • When the user asks what your avatar looks like, read the ## Avatar section in IDENTITY.md for your text description.
  • When the user asks you to show or provide your avatar, run assistant avatar get to get the path, then use file_read on that path to display the image. Only do this once.

© vellum-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/vellum-avatar of vellum-ai/vellum-assistant.

Open the folder on GitHubat commit 33cc983

Compare with similar skills

Vellum 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.

Vellum Avatar compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vellum Avatar this skillvellum-ai/vellum-assistant1.4k—~1.6kAutomated safety check: PassMIT
Generic Assistantmastra-ai/mastra29k—~1.1kAutomated safety check: PassCustom licence
File Uploadsdavila7/claude-code-templates33k4 repos~238Automated safety check: PassMIT
File Upload Accessibilitythedaviddias/Front-End-Checklist74k—~418Automated safety check: PassMIT
Avatar Videocalesthio/OpenMontage66k—~1.6kAutomated safety check: PassAGPL-3.0
Customizeanthropics/claude-for-legal9.6k4 repos~1.2kAutomated safety check: PassApache-2.0

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Questions about Vellum Avatar

What does Vellum Avatar do?

Customize the assistant's avatar - build a native character, upload an image, or generate one with AI. Vellum Avatar is an agent skill from vellum-ai/vellum-assistant.

How do I install Vellum Avatar in Claude Code?

Run `npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a claude-code`. Or copy the skill folder (skills/vellum-avatar in vellum-ai/vellum-assistant) into .claude/skills/vellum-avatar in your project. Claude Code loads it when a task matches its description.

How do I install Vellum Avatar in Codex?

Run `npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a codex`. Or copy the skill folder (skills/vellum-avatar in vellum-ai/vellum-assistant) into .agents/skills/vellum-avatar in your project. Codex loads it when a task matches its description.

Can I use Vellum 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 vellum-ai/vellum-assistant --skill vellum-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/vellum-avatar, .gemini/skills/vellum-avatar, .github/skills/vellum-avatar and .opencode/skills/vellum-avatar in your project.

What does Vellum Avatar need to run?

SKILL.md names no scripts, command-line tools or credentials: Vellum Avatar is instructions for the agent only. Compatibility (from SKILL.md): Designed for Vellum personal assistants.

Does Vellum Avatar access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Vellum 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 Vellum Avatar use?

Vellum Avatar is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vellum Avatar use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Vellum Avatar?

Skills that share tags, products or a category with Vellum Avatar: Generic Assistant (mastra-ai/mastra, 29k stars), File Uploads (davila7/claude-code-templates, 33k stars), File Upload Accessibility (thedaviddias/Front-End-Checklist, 74k stars) and Avatar Video (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vellum Avatar?

vellum-ai (a GitHub organization) maintains it in vellum-ai/vellum-assistant, which has 1,408 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.

Source: vellum-ai/vellum-assistant on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.