short-video-bgm-studio

Describe the footage and get an original instrumental track written for it, yours to keep and use commercially. This AI background music generator turns a scene, mood, and tempo feel into royalty-free BGM for short videos, vlogs, product clips, tutorials, livestream and store loops, podcast intros, and slideshow recaps, with an energy arc you choose — a calm or immediate opening, a lift at the moment that matters, a clean ending — room left for narration, and a result you can listen to before you publish.

Turn a description of the footage into an original instrumental track built for it: read the scene, shape an energy curve that fits how the piece moves, and return a result the user can hear before publishing.

Scope and routing

Use this Skill when a video, livestream, podcast, store, or brand moment needs background music and no vocal is wanted. It fits short-video posts, vlogs, product and unboxing clips, tutorial and course footage, livestream and store loops, podcast intros and outros, and slideshow or event recaps.

Scoring a finished cut to edit points is not this package; this package takes a footage or scene description. Route a song with sung lyrics to beatra-ai-music-creator. Route finished lyrics that need a melody to suno-lyrics-to-song, a gift or occasion song to personalized-song-maker, and a cover or re-arrangement of an existing song to ai-song-cover-studio. Route a music video built around a finished track to ai-music-video-clip-maker, and spoken narration to short-form-voiceover-audio.

Inputs and defaults

The hard inputs are a footage or scene description plus the length in seconds. Do not spend unless the user asked to generate. Reuse the platform, footage description, brand tone, target length, and any reference track already present in the conversation.

Ask only when the answer changes the paid result: the intended use, when the request is just "make music" with no scene attached.

Defaults that avoid extra questions:

• instrumental: true with no lyrics, because this route is background music.
• A short, loop-friendly duration when the user did not name a length.
• A calm-to-lift energy arc with a clean resolved ending, which suits a cut that has to end cleanly.
• model: "suno-5.5" for ordinary generation. Never omit the model and never silently use auto; pass a different model only when the user names one.
• Room left for a voice, since most short-video BGM sits under narration.

Golden path

Briefing and planning are free. Only the generation call is paid.

1. Lock the scene and the length in seconds, then write a short music card from the footage: use and destination, mood, genre, tempo feel, instrumentation, the energy arc across the cut, the intended length, whether narration sits on top, and anything to avoid.
2. Turn the card into one positive prompt that carries genre, mood, tempo feel, instrumentation, structure, and intended use in a single coherent direction.
3. Call beatra.models.list for the text-to-music capability, or the reference-audio-to-music capability when the user supplied a reference recording, whenever compatibility, controls, or price matter. Read the live card rather than assuming a model, a control, or an input limit.
4. Confirm before paid work. Show the frozen prompt, instrumental: true, the title, the model, any accepted model options, the current maximum charge, a commercial-clearance note for this original instrumental, and one opaque stable client_request_id.
5. Submit beatra.music.generate exactly once for one instrumental track, record the task ID immediately, and poll that same task.
6. Deliver every returned clip in order with its real duration, MIME type, size, and URL or artifact ID, plus the returned title when present, the resolved model, the actual usage, and billing.net_charged_credits.
7. Review the result against the music card. Read the actual returned duration rather than the requested one, and say plainly what the host Agent could not hear.

Treat requested length, a loop-friendly arrangement, and space for narration as arrangement direction in the prompt. Read the BGM workflow for the music card, prompt shape, payloads, model options, reference-guided tracks, recovery, and delivery review.

How this Skill executes

Use the bundled scripts/mcp_client.py for every remote Beatra operation: the MCP tool name is the CLI argument after call, and one JSON object goes on standard input. Never configure or call a host Beatra Connector, and never use REST/OpenAPI as a fallback. Register the package with beatra.installations.register on first use. Every creation is an asynchronous task: submit once, then follow that task to a terminal state.

Decisions that require confirmation

Confirm before submitting: the frozen prompt, the instrumental setting, the title, the model and any model options, and the current maximum charge. A changed prompt, title, model, option, reference track, or instrumental setting is new paid work with a new request ID.

When the user supplies a reference recording, upload it once through the bundled client, state what should carry over and what should change, and keep that as musical direction rather than a promise about melody or arrangement.

Recovery

Save the task ID the moment it returns and poll with beatra.tasks.get; queued and running mean wait. Replay a create only when its response is genuinely unknown and every validated argument is byte-equivalent under the same request ID. If the task ID is lost, use beatra.tasks.list, confirm candidates with beatra.tasks.get, and recover the original before considering new work. If the request ID itself is lost, do not invent a new one and do not replay. Call beatra.tasks.cancel only at the user's request; on 409, keep polling the original task and report cancellation only when its terminal status is canceled.

References by task

• BGM workflow: music card, prompt construction, payloads, model options, reference-guided tracks, recovery, and delivery review.
• Installation and authentication and installation registration: first use and shared credentials.
• Tasks and results and billing, errors, and recovery: task, artifact, and billing facts.
• Bundled MCP Client diagnostics: client operation and connection diagnostics; do not configure a host Connector.
• automatic updates and safety: update behaviour and controls.
• uninstall and disconnect: package removal and shared credential cleanup.

Runtime and safe automatic updates

The bundled client silently checks at most once every 24 hours per installation. When a newer release is available, it installs automatically without separate confirmation. It uses only fixed official Beatra discovery and immutable CDN paths for this package, channel, and locale, verifies discovery, archive, manifest, and every packaged file before replacement, and replaces only package-owned files. Update checks, downloads, verification, replacement, and recovery fail open: the current installation remains usable and the original command continues. An update failure never authorizes retrying a paid generation. The choice persists across later commands.

text

python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check

--auto off disables silent checks, --auto on restores them, and --check reports the official available version without replacing files. See automatic updates and safety.