
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- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads vidmuse automatically when relevant.
- 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
-
Ensure the
vidmusecommand 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 --versionWindows 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 -
Authenticate when needed.
First check whether the current session is already authenticated:
vidmuse profile get --output jsonIf the command returns an auth error, ask before starting any login flow because browser and device login require user action.
Use this decision tree:
Environment Command Local desktop with browser access vidmuse loginHeadless or remote terminal with streaming output vidmuse login --deviceAgent shell cannot keep a long-running command visible vidmuse login --device --start, show the URL/code to the user, then runvidmuse login --device --completeafter the user confirms authorization -
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
| Command | Required runtime |
|---|---|
vidmuse serve | FFmpeg only when video thumbnails are requested |
vidmuse render | Node.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:
| Stream | Meaning |
|---|---|
| stdout | Command result in the selected output mode |
| stderr | Errors, verbose HTTP logs, installation logs |
Exit codes:
| Code | Meaning |
|---|---|
| 0 | Success |
| 1 | General error |
| 2 | Usage or validation error |
| 3 | Auth error: missing, expired, or invalid auth |
| 4 | Network or API error |
Error handling:
- Check the exit code first.
- If exit code is
0, parse stdout only whenjsonmode was requested. - If exit code is non-zero, show a concise error based on stderr.
- For exit code
3, ask the user to runvidmuse loginorvidmuse login --device. - 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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