Generic Assistant
mastra-ai/mastra
Fallback authoring playbook for building general-purpose personal assistant agents that do not fit a more specific archetype.
Customize the assistant's avatar - build a native character, upload an image, or generate one with AI
$ npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vellum-ai/vellum-assistant vellum-avatar --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "vellum-avatar" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-avatar into .claude/skills/vellum-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vellum-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 install https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-avatarType 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.
$ npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vellum-ai/vellum-assistant vellum-avatar --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vellum-avatar .agents/skills/vellum-avatar && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vellum-avatar" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-avatar into .agents/skills/vellum-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vellum-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.
$ npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vellum-ai/vellum-assistant vellum-avatar --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vellum-avatar .cursor/skills/vellum-avatar && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vellum-avatar" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-avatar into .cursor/skills/vellum-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vellum-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 https://github.com/vellum-ai/vellum-assistant.git --path skills/vellum-avatar--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vellum-ai/vellum-assistant vellum-avatar --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vellum-avatar .gemini/skills/vellum-avatar && rm -rf skills-srcUse ~/.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/
Install the "vellum-avatar" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-avatar into .gemini/skills/vellum-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vellum-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.
$ gh skill install vellum-ai/vellum-assistant vellum-avatarInstalls 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).
$ npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vellum-avatar .github/skills/vellum-avatar && rm -rf skills-srcUse ~/.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/
Install the "vellum-avatar" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-avatar into .github/skills/vellum-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vellum-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.
$ npx skills add vellum-ai/vellum-assistant --skill vellum-avatar -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vellum-ai/vellum-assistant vellum-avatar --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vellum-avatar .opencode/skills/vellum-avatar && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vellum-avatar" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/skills/vellum-avatar into .opencode/skills/vellum-avatar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vellum-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.
vellum-avatarCustomize 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. 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 33cc983. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Vellum personal assistants
From compatibility in the SKILL.md frontmatter.
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.
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.
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.
The full file from vellum-ai/vellum-assistant at commit 33cc983, republished under its MIT licence (© vellum-ai). 773 words, ~1,611 tokens.
.claude/skills/vellum-avatar/SKILL.md (or your agent's skills folder).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.
The avatar system supports two representations:
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.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.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.
| Value | Description |
|---|---|
| blob | Soft, amorphous rounded shape |
| cloud | Puffy cloud silhouette |
| sprout | Small plant-like form with a stem |
| star | Five-pointed star |
| ghost | Classic ghost silhouette |
| urchin | Spiky sea-urchin shape |
| stack | Stacked rounded rectangles |
| flower | Flower with petals |
| burst | Spiky starburst |
| ninja | Stealthy masked figure |
| Value | Description |
|---|---|
| grumpy | Furrowed, slightly annoyed look |
| angry | Sharp, intense expression |
| curious | Wide, inquisitive eyes |
| goofy | Playful, off-kilter expression |
| surprised | Big round eyes, startled look |
| bashful | Shy, half-closed eyes looking to the side |
| gentle | Soft, kind expression |
| quirky | Asymmetric, offbeat look |
| dazed | Unfocused, dreamy stare |
| Value | Appearance |
|---|---|
| green | Leafy green |
| orange | Warm orange |
| pink | Soft pink |
| purple | Rich purple |
| teal | Blue-green teal |
| yellow | Bright yellow |
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:
assistant avatar character update --body-shape <value> --eye-style <value> --color <value>The client will detect the traits file and render the animated character.
The user provides a file path to an image they want to use as their avatar.
Use the CLI command to set it:
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).
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.
{
"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.
When the user wants to remove their custom avatar and go back to the default:
assistant avatar removeThis removes the custom image. If a native character was previously configured, it is automatically restored (the character traits are preserved).
When the user asks to see their current avatar, get the path and then read it:
assistant avatar getThis 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:
assistant avatar get --format base64## 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## Avatar section in IDENTITY.md for your text description.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
Just SKILL.md in skills/vellum-avatar of vellum-ai/vellum-assistant.
Open the folder on GitHubat commit 33cc983
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vellum Avatar this skillvellum-ai/vellum-assistant | 1.4k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Generic Assistantmastra-ai/mastra | 29k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| File Uploadsdavila7/claude-code-templates | 33k | 4 repos | ~238 | Automated safety check: Pass | MIT | |
| File Upload Accessibilitythedaviddias/Front-End-Checklist | 74k | — | ~418 | Automated safety check: Pass | MIT | |
| Avatar Videocalesthio/OpenMontage | 66k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Customizeanthropics/claude-for-legal | 9.6k | 4 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 |
mastra-ai/mastra
Fallback authoring playbook for building general-purpose personal assistant agents that do not fit a more specific archetype.
davila7/claude-code-templates
Expert at handling file uploads and cloud storage. An agent skill from davila7/claude-code-templates.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing templates, rendered HTML, or shared components related to Make file uploads accessible.
calesthio/OpenMontage
Create AI avatar videos with precise control over avatars, voices, scripts, scenes, and backgrounds using HeyGen's v2 API.
anthropics/claude-for-legal
Guided customization of your IP practice profile — change one thing without re-running the whole cold-start interview.
anthropics/claude-for-legal
Guided customization of your corporate practice profile — change one thing without re-running the whole cold-start interview.
vellum-ai/vellum-assistant
Create and configure a GitHub App so the assistant can push commits, open PRs, and comment under its own bot identity.
vellum-ai/vellum-assistant
Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration
vellum-ai/vellum-assistant
Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity
vellum-ai/vellum-assistant
Ingest a large dataset into memory as a skimmed map. An agent skill from vellum-ai/vellum-assistant.
vellum-ai/vellum-assistant
A skill your agent uses when the user wants to build, scaffold, ship, or edit a Vellum plugin that bundles multiple surfaces (hooks, tools, skills, and more) into one installable package.
vellum-ai/vellum-assistant
Connect a Slack app to the Vellum Assistant via Socket Mode.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.