SkillAgentSearch skills...

scenario-ace-step

Use when creating or editing music with ACE-Step models on Scenario via MCP: text-to-music songs with sung vocals from a lyric sheet, instrumental tracks, covering or restyling an existing song, repainting one section in place, changing sung lyrics, adding an instrument layer, completing a partial r…

Install / Use

npx skills add scenario-labs/skills --skill scenario-ace-step

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Category

Other

Supported Platforms

Universal

Our assessment of scenario-ace-step

scenario-ace-step scores 84/100 on our quality scale, 205th of 293 Other skills we index.

Its SKILL.md is 9.5 KB long, well organised into 8 sections and no code examples: a thorough specification that gives an agent plenty to work with.

With 1,048 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
13/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 8 days ago, so scenario-ace-step is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

scenario-ace-step compared with similar skills

All 4 of these similar skills score higher than scenario-ace-step; compare them before choosing.

SkillScoreStarsUpdatedFormat
scenario-ace-step (this skill)by scenario-labs841.0k8d agoSKILL.md
headroomby headroomlabs-ai10078.0ktodayCLAUDE.md
Agent-Reachby Panniantong100104.1k2d agoMCP Server
Scraplingby D4Vinci10089.9k1d agoMCP Server
crawl4aiby unclecode10086.4ktodayMCP Server

Frequently asked questions

How do I install scenario-ace-step?
Run npx skills add scenario-labs/skills --skill scenario-ace-step. The install tabs above show the steps for each supported agent.
Which AI agents does scenario-ace-step work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is scenario-ace-step safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is scenario-ace-step still maintained?
The repository was last updated 8 days ago, so scenario-ace-step is actively maintained.

name: scenario-ace-step description: "Use when creating or editing music with ACE-Step models on Scenario via MCP: text-to-music songs with sung vocals from a lyric sheet, instrumental tracks, covering or restyling an existing song, repainting one section in place, changing sung lyrics, adding an instrument layer, completing a partial recording into a full arrangement, extracting stems, or choosing between Turbo and Quality lanes. Keywords: ACE-Step 1.5, cover strength, repaint, Vocal2BGM, stem separation, karaoke, BPM." license: MIT

Scenario ACE-Step Music

Overview

ACE-Step 1.5, a music production family on Scenario, splits every mode into its own model: Text to Music, Cover, and Repaint each in a Turbo and a Quality lane, plus a full-quality edit trio (Add Layer, Complete Track, Stem Extract), nine members at authoring time. Discover them with search, pick the member by mode name, and treat model_schema_get as the contract.

Connection and the core loop: see the scenario skill in this repo; model-agnostic audio work: the scenario-audio skill. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.

Quick reference

| Mode | Key inputs | Behavior | | -------------- | ---------------------------------------------- | -------------------------------------------------------------------------------------------------------------- | | Text to Music | prompt or lyrics (either suffices) | full song; duration 10 to 600 s (empty lets the model pick), bpm, keyscale | | Cover | srcAudio (+ referenceAudio) | restyles a song, or re-sings it with new lyrics; audioCoverStrength sets how much of the original survives | | Repaint | srcAudio + window | regenerates repaintingStart to repaintingEnd in place, length preserved | | Add Layer | srcAudio + trackName + prompt | adds one stem matched to key, tempo, and groove, optionally windowed | | Complete Track | srcAudio + completeTrackClasses + prompt | arranges stems around a partial recording (Vocal2BGM) | | Stem Extract | srcAudio + trackName | isolates one stem from a mix |

Numbers are at authoring time: read caps off model_schema_get. Stem fields take one of twelve fixed values (vocals, backing_vocals, drums, bass, guitar, keyboard, percussion, strings, synth, fx, brass, woodwinds), never free text. srcAudio is a single audio asset: upload_asset first, or reuse a generated asset id. Across members: numOutputs (1 to 4) multiplies cost, thinking (default true, absent on Stem Extract) runs a planning pass, vocalLanguage, where present, defaults to auto-detect. guidanceScale exists on the edit trio alone, audioCoverStrength on Cover alone, and repaintingEnd: -1 runs to the end of the track.

Lane choice

Turbo and Quality siblings take the same parameters, except audioFormat (mp3, wav, flac), at authoring time on Repaint Turbo alone. No member of the family exposed a seed, so two repaints of the same window are two takes, and the singer can change between them. Repaint regenerates the window; do not assume it preserves the source voice. Batch with numOutputs and pick, rather than re-running for a match, and read the next section before repainting to fix a sung line. The asymmetry runs the other way on some section composers in other families, which take a seed and no numOutputs; scenario-audio carries that rule. Quality is the full-size checkpoint tuned for fidelity and prompt adherence; Turbo is distilled for speed and at authoring time costs half as much. Iterate on Turbo (lyrics, structure, windows), then re-run the keeper's parameters on the Quality sibling. The edit trio has no Turbo lane. duration and numOutputs both move the price, so dry_run=true before a long track or a batch.

Writing the song

Keep prompt to a one-line style caption (genre, mood, instruments, production) and put the words in lyrics, shaped with section tags: [Verse], [Chorus], direction inside the tag like [Bridge - whispered], backing vocals in (parentheses), UPPERCASE for belted lines. Vocal-free music is instrumental: true, not "no vocals" in the caption. Tempo and key have dedicated fields (bpm, keyscale, e.g. "C Major"), not caption text.

Editing without regenerating

  • Cover keeps the structure recognizable; audioCoverStrength: near 1 stays faithful to the arrangement, 0.5 to 0.6 transforms the genre while the hook survives, around 0.2 borrows only the mood. referenceAudio optionally donates genre and feel; rewritten words go in lyrics.
  • For a lyric correction where the source voice matters (a flubbed line, a name that must change), try Cover: srcAudio the whole take, lyrics the corrected sheet, audioCoverStrength at the default 1, numOutputs up to 4 for takes to pick from. High strength favors the source, but does not guarantee the corrected words, singer, delivery, or timing. Waveform differences alone prove neither a voice change nor an audible splice. Audition the candidates against the master and locate the replacement boundaries in both recordings before editing. If listening is unavailable or no candidate matches, deliver the candidates for review and leave the master unchanged. After verification, keep only the corrected span: cut it out of the chosen take with model_scenario-audio-cut (a fixed first-party id, Scenario's single deterministic audio trimmer, so discovery would only re-derive it), asset_download it and the master, and splice it in locally. No MCP tool joins two audio files, so the join is editing work on the downloaded files, not a gap to bridge with another run; when the track rides a video, the compositor in scenario-video-assembly lays the span over the clip as an audio layer instead.
  • To change sung lyrics in a Repaint window when a new take of that section is acceptable: start prompt with "Repaint the selected section with new sung lyrics:", pass the full lyric sheet in lyrics with the new section in place, and set thinking: false. Expect the section's voice to be a new take.
  • Complete Track works best on a source with clear melody and rhythm.

Worked example: fix a chorus in a generated song

  1. search with target="models", query="ace-step", public=true. Pick members by mode name, e.g. model_ace-step-1-5-turbo-text-to-music and model_ace-step-1-5-turbo-repaint (live hits at authoring time: re-discover each session).
  2. model_schema_get on each id before running it.
  3. model_run the Text to Music member with dry_run=true and parameters={"prompt": "indie folk, warm, fingerpicked guitar, soft female vocals", "lyrics": "[Verse]\n...\n[Chorus]\n...", "duration": 90, "vocalLanguage": "en"}; re-estimate after changing duration or numOutputs.
  4. Repeat with wait=false, then jobs_wait with the job id, re-called with pending_job_ids on timeout, never a second model_run.
  5. asset_display to listen; note the chorus window, say 24 to 52 seconds.
  6. Decide what the fix must preserve. A new take of the chorus, voice included, is the Repaint member: model_run with parameters={"srcAudio": "<asset id>", "repaintingStart": 24, "repaintingEnd": 52, "thinking": false, "prompt": "Repaint the selected section with new sung lyrics:", "lyrics": "<full sheet with the new chorus in place>"}, allowing the voice to change. When source voice continuity matters, try the Cover member instead: parameters={"srcAudio": "<asset id>", "lyrics": "<full sheet with the new chorus in place>", "audioCoverStrength": 1, "numOutputs": 3}, then audition before cutting and splicing as the Editing section says.
  7. Listen again, then asset_download the keeper (omit format for audio).

Common mistakes

  • Expecting one model to infer the mode: every mode is a separate member; pick it by name from search.
  • The lyric sheet in prompt: it caps at 512 characters and carries style; words go in lyrics.
  • Free-text stems ("kick drum") in trackName or completeTrackClasses: only the twelve fixed values are valid.
  • Repainting new sung lyrics without the recipe: the sentinel prompt, the full sheet with the new section in place, and thinking: false go together.
  • Repainting to fix one sung line and expecting the same singer back: no seed pins a take and the window is regenerated, so the voice may change. Cover at full audioCoverStrength with corrected lyrics supplies candidates to audition, not a guaranteed performance match.
  • Hunting for a seed on these members or numOutputs on a composer that has a seed instead: batch here with numOutputs; where a member has a seed and no batch field, run it several times in parallel with distinct seeds, each run priced on its own.
  • Expecting Repaint to change track length: the window regenerates in place. A longer version of the same track is the extend lane the scenario-audio skill teaches, run by another family's member; a different length from scratch is a new Text to Music run.

Related Skills

View on GitHub
GitHub Stars1.0k
CategoryOther
Updated8d ago
Forks129

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions