Beatoven.ai royalty-free music generation: compose tracks, poll tasks, download audio, fetch individual stems.

MITAuto-check passedMedia & Creative

Install Beatoven

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill beatoven -a claude-code

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

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors beatoven --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/beatoven .claude/skills/beatoven && 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
beatoven
GitHub stars
1.3k
Token cost
~823 tokens
SKILL.md length
271 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Beatoven.ai royalty-free music generation: compose tracks, poll tasks, download audio, fetch individual stems.

  • Works in 4 steps: Compositions are metered. Confirm with… → Track and stem URLs come back in the… → Output formats: mp3, aac, wav. The… → …
  • Phrases: beatoven
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Beatoven is an agent skill from Anil-matcha/awesome-muse-connectors. Beatoven.ai royalty-free music generation: compose tracks, poll tasks, download audio, fetch individual stems. Trigger phrases: beatoven, compose music, generate a track, royalty free music, background music.

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/beatoven.py`).

It sits in Media & Creative, covering Music and audio generation. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: beatoven
  • Generate a track
  • Royalty free music
  • Background music

Example prompts

  • “/beatoven”

Requirements

  • Python 3

Workflow steps

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

  1. Compositions are metered. Confirm with Michael before every compose, stating the prompt and format, plus whether looping is on.
  2. Track and stem URLs come back in the composed task response; download fetches them to a local file. Never store the URL as the finished…
  3. Output formats: mp3, aac, wav. The default in this CLI is wav.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/beatoven.py). Do not print, log, or transmit the token.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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

    Ships script files (Python), which the agent can run.

    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.

Context cost

Beatoven loads about 823 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 271 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~823

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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 271 words, ~823 tokens.

Download SKILL.mdSave it as .claude/skills/beatoven/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
beatoven
description
Beatoven.ai royalty-free music generation: compose tracks, poll tasks, download audio, fetch individual stems. Trigger phrases: beatoven, compose music, generate a track, royalty free music, background music.
metadata.includeInPrompt
true
tagline
Beatoven.ai royalty-free music generation: compose tracks, poll tasks, download audio, fetch individual stems.
catalog_auth
API token via the secure credential flow
catalog_hosts
public-api.beatoven.ai

Beatoven.ai

Purpose

Compose royalty-free music with Beatoven's public composition API: text-to-music (also audio-to-music and video-to-music prompts), task polling, track download, and individual stems (bass, chords, melody, percussion), plus SFX via the maestro model. Beatoven is Fairly Trained certified (licensed training data), so output is commercially safe, and it is the only verified self-serve music API in the catalog (Suno and Udio have no public APIs). Also available on the fal.ai marketplace.

Tooling

All commands go through bin/beatoven.py:

bash
bin/beatoven.py auth                                                      # verify credential setup (no spend)
bin/beatoven.py compose --prompt "30 seconds peaceful lo-fi chill hop track" --format wav
bin/beatoven.py compose --prompt "upbeat podcast intro" --format mp3 --looping
bin/beatoven.py status --task-id <task_id>                                # poll until composed
bin/beatoven.py download --task-id <task_id> --out track.wav              # download the composed track
bin/beatoven.py download --url https://.../track.wav --out track.wav      # download from a track URL directly
bin/beatoven.py stems --task-id <task_id>                                 # list the four stem URLs
bin/beatoven.py stems --task-id <task_id> --stem bass --out bass.wav      # download one stem

compose starts an async task and prints a task_id. Poll status with backoff; when status is composed, the response carries track_url and stems_url (bass, chords, melody, percussion). Endpoint paths are from Beatoven's published api-spec.md.

Auth

  • Provider id: beatoven (credential is collected as custom.beatoven)
  • Collection: API token via the secure credential flow (credentials.request_api_access); created in the Beatoven developer dashboard
  • Allowed hosts: public-api.beatoven.ai (plus the download host Beatoven's own task response returns)
  • Status check: bin/beatoven.py auth (must return "ok": true). The token is sent verbatim as Authorization: Bearer <token>, per Beatoven's published API spec.

Operating Rules

  1. Compositions are metered. Confirm with Michael before every compose, stating the prompt and format, plus whether looping is on.
  2. Track and stem URLs come back in the composed task response; download fetches them to a local file. Never store the URL as the finished artifact.
  3. Output formats: mp3, aac, wav. The default in this CLI is wav.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/beatoven.py). Do not print, log, or transmit the token.

Files

  • SKILL.md
  • bin/beatoven.py

Maturity

🧪 Draft: written from Beatoven's published API spec via the research dossier; not yet live-tested end-to-end.

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

Files

SKILL.md and 1 other file in connectors/beatoven of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/beatoven.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Beatoven 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.

Beatoven compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Beatoven this skillAnil-matcha/awesome-muse-connectors1.3k—~823Automated safety check: PassMIT
HyperFrames Media Useheygen-com/hyperframes60k—~2.4kAutomated safety check: PassApache-2.0
Musictadaspetra/loop2962 repos~827Automated safety check: PassMIT
Sound Effectstadaspetra/loop2962 repos~1.1kAutomated safety check: PassMIT
Characteristic VoiceNoizAI/skills526—~1.8kAutomated safety check: PassNone
Text To Sfxsonilo-ai/skills1151 repos~1.6kAutomated safety check: NotesMIT

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Questions about Beatoven

What does Beatoven do?

Beatoven.ai royalty-free music generation: compose tracks, poll tasks, download audio, fetch individual stems. Beatoven is an agent skill from Anil-matcha/awesome-muse-connectors.ai royalty-free music generation: compose tracks, poll tasks, download audio, fetch individual stems.

When should I use Beatoven?

Beatoven fits situations like: phrases: beatoven; generate a track; royalty free music; background music.

How do I install Beatoven in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill beatoven -a claude-code`. Or copy the skill folder (connectors/beatoven in Anil-matcha/awesome-muse-connectors) into .claude/skills/beatoven in your project. Claude Code loads it when a task matches its description.

How do I install Beatoven in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill beatoven -a codex`. Or copy the skill folder (connectors/beatoven in Anil-matcha/awesome-muse-connectors) into .agents/skills/beatoven in your project. Codex loads it when a task matches its description.

Can I use Beatoven 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 Anil-matcha/awesome-muse-connectors --skill beatoven -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/beatoven, .gemini/skills/beatoven, .github/skills/beatoven and .opencode/skills/beatoven in your project.

What does Beatoven need to run?

Going by SKILL.md and its folder, Beatoven needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Beatoven 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 Beatoven 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 Beatoven use?

Beatoven 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 Beatoven use?

About 823 tokens (SKILL.md is roughly 3.3k 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 Beatoven?

Skills that share tags, products or a category with Beatoven: HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Music (tadaspetra/loop, 296 stars), Sound Effects (tadaspetra/loop, 296 stars) and Characteristic Voice (NoizAI/skills, 526 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Beatoven?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,347 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.