MCPInstall

vidmuse

Use when an AI agent needs to work with VidMuse projects, account state, subscription credits, video/audio/image/text/tool models, generated or uploaded assets, style library entries, voice library entries, generation parameters, threads, messages, or long-term memory. Installs and uses the vidmuse command runtime when needed.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/sandai-org/vidmuse-skills --skill vidmuse
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads vidmuse automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

VidMuse Skill

Use this skill when a task asks for VidMuse account state, subscription plan, model discovery, assets, style library entries, voice library entries, generation params, thread/message operations, or long-term memory operations. Treat the vidmuse command as the runtime for accessing VidMuse capabilities; keep user-facing answers focused on the VidMuse task unless the user asks about the command itself.

Workflow

  1. Ensure the vidmuse command runtime exists.

    macOS, Linux, WSL, or Git Bash:

    if vidmuse_path="$(command -v vidmuse)"; then
      :
    else
      tmp="$(mktemp)"
      curl -fsSL "https://vidmuse.sandcdn.com/cli/install.sh" -o "$tmp"
      installed_path="$(VIDMUSE_CLI_VERSION="${VIDMUSE_CLI_VERSION:-latest}" bash "$tmp" | tail -n 1)"
      installed_dir="$(dirname "$installed_path")"
      case ":${PATH:-}:" in *":${installed_dir}:"*) ;; *) export PATH="${installed_dir}:${PATH:-}" ;; esac
    fi
    vidmuse --version
    

    Windows PowerShell:

    if (-not (Get-Command vidmuse -ErrorAction SilentlyContinue)) {
        $tmp = Join-Path $env:TEMP "install-vidmuse.ps1"
        Invoke-WebRequest "https://vidmuse.sandcdn.com/cli/install.ps1" -OutFile $tmp -UseBasicParsing
        $installedPath = (& powershell -ExecutionPolicy Bypass -File $tmp | Select-Object -Last 1)
        $installedDir = Split-Path -Parent $installedPath
        if (($env:PATH -split [System.IO.Path]::PathSeparator) -notcontains $installedDir) {
            $env:PATH = "$installedDir$([System.IO.Path]::PathSeparator)$env:PATH"
        }
    }
    vidmuse --version
    
  2. Authenticate when needed.

    First check whether the current session is already authenticated:

    vidmuse profile get --output json
    

    If the command returns an auth error, ask before starting any login flow because browser and device login require user action.

    Use this decision tree:

    EnvironmentCommand
    Local desktop with browser accessvidmuse login
    Headless or remote terminal with streaming outputvidmuse login --device
    Agent shell cannot keep a long-running command visiblevidmuse login --device --start, show the URL/code to the user, then run vidmuse login --device --complete after the user confirms authorization
  3. For command routing, read references/command-map.md.

Local media runtime

The released CLI binary does not require Go. Account, model, asset, style, voice, thread, message, and memory commands require only the vidmuse binary and network access. Check extra tools before using local preview or rendering commands:

node --version
ffmpeg -version
CommandRequired runtime
vidmuse serveFFmpeg only when video thumbnails are requested
vidmuse renderNode.js 22+ and FFmpeg

When Node.js or FFmpeg is missing, do not install system packages without the user's approval. Tell the user which prerequisite is missing and offer the appropriate command:

# macOS (Homebrew)
brew install node ffmpeg

# Debian or Ubuntu
curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash -
sudo apt-get install -y nodejs ffmpeg

The render command uses npx --yes hyperframes@0.7.26 when no HYPERFRAMES_BIN is supplied. The first such render needs npm network access. Use NODE_BIN, FFMPEG_BIN, and HYPERFRAMES_BIN for nonstandard executable paths.

Output Contract

Default output mode is text. Add --output json only when structured parsing is needed. Do not add it to vidmuse render: its -o/--output flag specifies the rendered video file path.

Use text for compact plain-language responses. Nested lists and maps are rendered as indented blocks.

Use table only for short human-facing summaries because top-level structs, maps, lists, and lists of maps are rendered as tables when possible, while nested lists and maps stay compact inside table cells.

Paginated text/table output uses a human summary such as:

Showing 1-20 of 88

JSON output preserves structured fields such as limit, offset, total, and data when the API returns them.

Streams:

StreamMeaning
stdoutCommand result in the selected output mode
stderrErrors, verbose HTTP logs, installation logs

Exit codes:

CodeMeaning
0Success
1General error
2Usage or validation error
3Auth error: missing, expired, or invalid auth
4Network or API error

Error handling:

  1. Check the exit code first.
  2. If exit code is 0, parse stdout only when json mode was requested.
  3. If exit code is non-zero, show a concise error based on stderr.
  4. For exit code 3, ask the user to run vidmuse login or vidmuse login --device.
  5. For exit code 4, mention the network or API failure and retry only when the operation is read-only or explicitly safe to repeat.

Safety

Read-only commands may be run directly when the user asks for information. Mutating commands such as thread create, message send, memory create, memory update, memory append, memory push, and memory pop require explicit user intent.

Never print auth tokens, cookies, or full config files in the final answer because final answers can be saved to transcripts, shared as screenshots, or copied into bug reports.

FAQ

What does the vidmuse skill do?

Use when an AI agent needs to work with VidMuse projects, account state, subscription credits, video/audio/image/text/tool models, generated or uploaded assets, style library entries, voice library entries, generation parameters, threads, messages, or long-term memory. Installs and uses the vidmuse command runtime when needed.

How do I install vidmuse?

Run npx skills add https://github.com/sandai-org/vidmuse-skills --skill vidmuse in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/vidmuse/ (personal) or .claude/skills/vidmuse/ (project).

Which AI agents can use vidmuse?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is vidmuse safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains vidmuse?

It is published by sandai-org in sandai-org/vidmuse-skills. It has 684 recorded installs.

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