Creator · calesthio
Last updated · Sep 1, 2026
AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extrac
Creator · calesthio
Last updated · Sep 1, 2026
AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extrac
Creator · calesthio
Last updated · Sep 1, 2026
AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extrac
Creator · calesthio
Last updated · Sep 1, 2026
AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extrac
Sandbox only
Install targets
Codex install prompt
Install the "acestep" agent skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/acestep. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"calesthio-acestep","task":"Install acestep","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add calesthio/OpenMontage --skill acestep
Maintenance
fresh
16d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
55K
93/100 Quality · 82/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
55K GitHub stars
Repo activity
55K stars, 6.9K forks
Maintenance
16d since push
License
AGPL-3.0
Install
npx skills add calesthio/OpenMontage --skill acestep
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add calesthio/OpenMontage --skill acestepDo not use when
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1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/calesthio-acestep/install
Agent should check
Copy prompt
Task: Use acestep in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/calesthio-acestep/install
Install command: npx skills add calesthio/OpenMontage --skill acestep
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/calesthio-acestep/install
LLM text format
/api/skills/calesthio-acestep/install?format=text
Find alternatives
/api/skills/search?q=acestep&limit=3
Agent prompt
Use acestep for this task. Review https://www.openagentskill.com/api/skills/calesthio-acestep/install, then install with: npx skills add calesthio/OpenMontage --skill acestepRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/calesthio-acestep
LLM text
/api/registry/manifest/calesthio-acestep?format=text
Install alias
/api/registry/install/calesthio-acestep
Recommend
/api/registry/recommend?task=Use%20acestep%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS55K GitHub stars
Stars/forks activity
PASS55K stars, 6.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS16d since push
License clarity
PASSAGPL-3.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
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Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: acestep description: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks. ---
# ACE-Step 1.5 Music Generation
Open-source music generation (MIT license) via `tools/music_gen.py`. Runs on RunPod serverless. Requires `RUNPOD_API_KEY` and `RUNPOD_ACESTEP_ENDPOINT_ID` in `.env` (run `--setup` to create endpoint).
## Quick Reference
```bash # Basic generation python tools/music_gen.py --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3
# With musical control python tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3
# Scene presets (video production) python tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3 python tools/music_gen.py --preset tension --duration 20 --output problem.mp3 python tools/music_gen.py --preset cta --brand digital-samba --duration 15 --output cta.mp3
# Vocals with lyrics python tools/music_gen.py --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3
# Cover / style transfer python tools/music_gen.py --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3
# Stem extraction python tools/music_gen.py --extract vocals --input mixed.mp3 --output vocals.mp3
# List presets python tools/music_gen.py --list-presets ```
## Creating a Song (Step by Step)
### 1. Instrumental background track (simplest) ```bash python tools/music_gen.py --prompt "Upbeat indie rock, driving drums, jangly guitar" --duration 60 --bpm 120 --key "G Major" --output track.mp3 ```
### 2. Song with vocals and lyrics Write lyrics in a temp file or pass inline. Use structure tags to control song sections.
```bash # Write lyrics to a file first (recommended for longer songs) cat > /tmp/lyrics.txt << 'LYRICS' [Verse 1] Walking through the morning light Coffee in my hand feels right Another day to build and dream Nothing's ever what it seems
[Chorus - anthemic] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about
[Verse 2] Screens are glowing late at night Shipping code until it's right The deadline's close but so are we Almost there, just wait and see
[Chorus - bigger] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about
[Outro - fade] (Moving forward...) LYRICS
# Generate the song python tools/music_gen.py \ --prompt "Upbeat indie rock anthem, male vocal, driving drums, electric guitar, studio polish" \ --lyrics "$(cat /tmp/lyrics.txt)" \ --duration 60 \ --bpm 128 \ --key "G Major" \ --output my_song.mp3 ```
### 3. Using a preset for video background ```bash python tools/music_gen.py --preset tension --duration 20 --output problem_scene.mp3 ```
### Key tips for good results - **Caption = overall style** (genre, instruments, mood, production quality) - **Lyrics = temporal structure** (verse/chorus flow, vocal delivery) - **UPPERCASE in lyrics** = high vocal intensity - **Parentheses** = background vocals: "We rise (together)" - **Keep 6-10 syllables per line** for natural rhythm - **Don't describe the melody in the caption** — describe the *sound* and *feeling* - **Use `--seed`** to lock randomness when iterating on prompt/lyrics
## Scene Presets
| Preset | BPM | Key | Use Case | |--------|-----|-----|----------| | `corporate-bg` | 110 | C Major | Professional background, presentations | | `upbeat-tech` | 128 | G Major | Product launches, tech demos | | `ambient` | 72 | D Major | Overview slides, reflective content | | `dramatic` | 90 | D Minor | Reveals, announcements | | `tension` | 85 | A Minor | Problem statements, challenges | | `hopeful` | 120 | C Major | Solution reveals, resolutions | | `cta` | 135 | E Major | Call to action, closing energy | | `lofi` | 85 | F Major | Screen recordings, coding demos |
## Task Types
### text2music (default) Generate music from text prompt + optional lyrics.
### cover Style transfer from reference audio. Control blend with `--cover-strength` (0.0-1.0): - **0.2** — Loose style inspiration (more creative freedom) - **0.5** — Balanced style transfer - **0.7** — Close to original structure (default) - **1.0** — Maximum fidelity to source
### extract Stem separation — isolate individual tracks from mixed audio. Tracks: `vocals`, `drums`, `bass`, `guitar`, `piano`, `keyboard`, `strings`, `brass`, `woodwinds`, `other`
### repaint (future) Regenerate a specific time segment within existing audio while preserving the rest.
### lego (future, requires base model) Generate individual instrument tracks within an existing audio context.
### complete (future, requires base model) Extend partial compositions by adding specified instruments.
## Prompt Engineering
### Caption Writing — Layer Dimensions
Write captions by layering multiple descriptive dimensions rather than single-word descriptions.
**Dimensions to include:** - **Genre/Style**: pop, rock, jazz, electronic, lo-fi, synthwave, orchestral - **Emotion/Mood**: melancholic, euphoric, dreamy, nostalgic, intimate, tense - **Instruments**: acoustic guitar, synth pads, 808 drums, strings, brass, piano - **Timbre**: warm, crisp, airy, punchy, lush, polished, raw - **Era**: "80s synth-pop", "modern indie", "classical romantic" - **Production**: lo-fi, studio-polished, live recording, cinematic - **Vocal**: breathy, powerful, falsetto, raspy, spoken word (or "instrumental")
**Good**: "Slow melancholic piano ballad with intimate female vocal, warm strings building to powerful chorus, studio-polished production" **Bad**: "Sad song"
### Key Principles
1. **Specificity over vagueness** — describe instruments, mood, production style 2. **Avoid contradictions** — don't request "classical strings" and "hardcore metal" simultaneously 3. **Repetition reinforces priority** — repeat important elements for emphasis 4. **Sparse captions = more creative freedom** — detailed captions constrain the model 5. **Use metadata params for BPM/key** — don't write "120 BPM" in the caption, use `--bpm 120`
### Lyrics Formatting
**Structure tags** (use in lyrics, not caption): ``` [Intro] [Verse] [Chorus] [Bridge] [Outro] [Instrumental] [Guitar Solo] [Build] [Drop] [Breakdown] ```
**Vocal control** (prefix lines or sections): ``` [raspy vocal] [whispered] [falsetto] [powerful belting] [harmonies] [ad-lib] ```
**Energy indicators:** - UPPERCASE = high intensity ("WE RISE ABOVE") - Parentheses = background vocals ("We rise (together)") - Keep 6-10 syllables per line within sections for natural rhythm
**Example — Tech Product Jingle:** ``` [Verse] Build it better, ship it faster Every feature tells a story
[Chorus - anthemic] THIS IS YOUR PLATFORM Your vision, your stage Digital Samba, every page
[Outro - fade] (Build it better...) ```
## Video Production Integration
### Music for Scene Types
| Scene | Preset | Duration | Notes | |-------|--------|----------|-------| | Title | `dramatic` or `ambient` | 3-5s | Short, mood-setting | | Problem | `tension` | 10-15s | Dark, unsettling | | Solution | `hopeful` | 10-15s | Relief, optimism | | Demo | `lofi` or `corporate-bg` | 30-120s | Non-distracting, matches demo length | | Stats | `upbeat-tech` | 8-12s | Building credibility | | CTA | `cta` | 5-10s | Maximum energy, punchy | | Credits | `ambient` | 5-10s | Gentle fade-out |
### Timing Workflow
1. Plan scene durations first (from voiceover script) 2. Generate music to match: `--duration <scene_seconds>` 3. Music duration is precise (within 0.1s of requested) 4. For background music spanning multiple scenes: generate one long track
### Combining with Voiceover
Background music should be mixed at 10-20% volume in Remotion: ```tsx <Audio src={staticFile('voiceover.mp3')} volume={1} /> <Audio src={staticFile('bg-music.mp3')} volume={0.15} /> ```
For music under narration: use instrumental presets (`corporate-bg`, `ambient`, `lofi`). For music-forward scenes (title, CTA): can use higher volume or vocal tracks.
### Brand Consistency
Use `--brand <name>` to load hints from `brands/<name>/brand.json`. Use `--cover --reference brand_theme.mp3` to create variations of a brand's sonic identity. For consistent sound across a project: fix the seed (`--seed 42`) and vary only duration/prompt.
## Technical Details
- **Output**: 48kHz MP3/WAV/FLAC - **Duration range**: 10-600 seconds - **BPM range**: 30-300 - **Inference**: ~2-3s on GPU (turbo, 8 steps), ~40-60s on Mac MPS - **Turbo model**: 8 steps, no CFG needed, fast and good quality - **Shift parameter**: 3.0 recommended for turbo (improves quality)
### When NOT to use ACE-Step - **Voice cloning** — use Qwen3-TTS or ElevenLabs instead - **Sound effects** — use ElevenLabs SFX (`tools/sfx.py`) - **Speech/narration** — use voiceover tools, not music gen - **Stem extraction from video** — extract audio first with FFmpeg, then use `--extract`
Source provenance
Decision snapshot
55,318 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for acestep, ready for a manual X post.
A practical pick for design or creative work: acestep: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use w... 55.3K stars https://www.openagentskill.com/skills/calesthio-acestep?ref=x
Listing + install path for acestep: https://www.openagentskill.com/skills/calesthio-acestep?ref=x Install: npx skills add calesthio/OpenMontage --skill acestep
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Install targets
Codex install prompt
Install the "acestep" agent skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/acestep. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"calesthio-acestep","task":"Install acestep","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add calesthio/OpenMontage --skill acestep
Maintenance
fresh
16d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
55K
93/100 Quality · 82/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
55K GitHub stars
Repo activity
55K stars, 6.9K forks
Maintenance
16d since push
License
AGPL-3.0
Install
npx skills add calesthio/OpenMontage --skill acestep
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add calesthio/OpenMontage --skill acestepDo not use when
Alternative
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Alternative
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npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
175.1K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/calesthio-acestep/install
Agent should check
Copy prompt
Task: Use acestep in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/calesthio-acestep/install
Install command: npx skills add calesthio/OpenMontage --skill acestep
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/calesthio-acestep/install
LLM text format
/api/skills/calesthio-acestep/install?format=text
Find alternatives
/api/skills/search?q=acestep&limit=3
Agent prompt
Use acestep for this task. Review https://www.openagentskill.com/api/skills/calesthio-acestep/install, then install with: npx skills add calesthio/OpenMontage --skill acestepRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/calesthio-acestep
LLM text
/api/registry/manifest/calesthio-acestep?format=text
Install alias
/api/registry/install/calesthio-acestep
Recommend
/api/registry/recommend?task=Use%20acestep%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Workflow automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS55K GitHub stars
Stars/forks activity
PASS55K stars, 6.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS16d since push
License clarity
PASSAGPL-3.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Process rich media
I need my agent to process images, video, or audio and extract useful information.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: acestep description: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks. ---
# ACE-Step 1.5 Music Generation
Open-source music generation (MIT license) via `tools/music_gen.py`. Runs on RunPod serverless. Requires `RUNPOD_API_KEY` and `RUNPOD_ACESTEP_ENDPOINT_ID` in `.env` (run `--setup` to create endpoint).
## Quick Reference
```bash # Basic generation python tools/music_gen.py --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3
# With musical control python tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3
# Scene presets (video production) python tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3 python tools/music_gen.py --preset tension --duration 20 --output problem.mp3 python tools/music_gen.py --preset cta --brand digital-samba --duration 15 --output cta.mp3
# Vocals with lyrics python tools/music_gen.py --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3
# Cover / style transfer python tools/music_gen.py --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3
# Stem extraction python tools/music_gen.py --extract vocals --input mixed.mp3 --output vocals.mp3
# List presets python tools/music_gen.py --list-presets ```
## Creating a Song (Step by Step)
### 1. Instrumental background track (simplest) ```bash python tools/music_gen.py --prompt "Upbeat indie rock, driving drums, jangly guitar" --duration 60 --bpm 120 --key "G Major" --output track.mp3 ```
### 2. Song with vocals and lyrics Write lyrics in a temp file or pass inline. Use structure tags to control song sections.
```bash # Write lyrics to a file first (recommended for longer songs) cat > /tmp/lyrics.txt << 'LYRICS' [Verse 1] Walking through the morning light Coffee in my hand feels right Another day to build and dream Nothing's ever what it seems
[Chorus - anthemic] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about
[Verse 2] Screens are glowing late at night Shipping code until it's right The deadline's close but so are we Almost there, just wait and see
[Chorus - bigger] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about
[Outro - fade] (Moving forward...) LYRICS
# Generate the song python tools/music_gen.py \ --prompt "Upbeat indie rock anthem, male vocal, driving drums, electric guitar, studio polish" \ --lyrics "$(cat /tmp/lyrics.txt)" \ --duration 60 \ --bpm 128 \ --key "G Major" \ --output my_song.mp3 ```
### 3. Using a preset for video background ```bash python tools/music_gen.py --preset tension --duration 20 --output problem_scene.mp3 ```
### Key tips for good results - **Caption = overall style** (genre, instruments, mood, production quality) - **Lyrics = temporal structure** (verse/chorus flow, vocal delivery) - **UPPERCASE in lyrics** = high vocal intensity - **Parentheses** = background vocals: "We rise (together)" - **Keep 6-10 syllables per line** for natural rhythm - **Don't describe the melody in the caption** — describe the *sound* and *feeling* - **Use `--seed`** to lock randomness when iterating on prompt/lyrics
## Scene Presets
| Preset | BPM | Key | Use Case | |--------|-----|-----|----------| | `corporate-bg` | 110 | C Major | Professional background, presentations | | `upbeat-tech` | 128 | G Major | Product launches, tech demos | | `ambient` | 72 | D Major | Overview slides, reflective content | | `dramatic` | 90 | D Minor | Reveals, announcements | | `tension` | 85 | A Minor | Problem statements, challenges | | `hopeful` | 120 | C Major | Solution reveals, resolutions | | `cta` | 135 | E Major | Call to action, closing energy | | `lofi` | 85 | F Major | Screen recordings, coding demos |
## Task Types
### text2music (default) Generate music from text prompt + optional lyrics.
### cover Style transfer from reference audio. Control blend with `--cover-strength` (0.0-1.0): - **0.2** — Loose style inspiration (more creative freedom) - **0.5** — Balanced style transfer - **0.7** — Close to original structure (default) - **1.0** — Maximum fidelity to source
### extract Stem separation — isolate individual tracks from mixed audio. Tracks: `vocals`, `drums`, `bass`, `guitar`, `piano`, `keyboard`, `strings`, `brass`, `woodwinds`, `other`
### repaint (future) Regenerate a specific time segment within existing audio while preserving the rest.
### lego (future, requires base model) Generate individual instrument tracks within an existing audio context.
### complete (future, requires base model) Extend partial compositions by adding specified instruments.
## Prompt Engineering
### Caption Writing — Layer Dimensions
Write captions by layering multiple descriptive dimensions rather than single-word descriptions.
**Dimensions to include:** - **Genre/Style**: pop, rock, jazz, electronic, lo-fi, synthwave, orchestral - **Emotion/Mood**: melancholic, euphoric, dreamy, nostalgic, intimate, tense - **Instruments**: acoustic guitar, synth pads, 808 drums, strings, brass, piano - **Timbre**: warm, crisp, airy, punchy, lush, polished, raw - **Era**: "80s synth-pop", "modern indie", "classical romantic" - **Production**: lo-fi, studio-polished, live recording, cinematic - **Vocal**: breathy, powerful, falsetto, raspy, spoken word (or "instrumental")
**Good**: "Slow melancholic piano ballad with intimate female vocal, warm strings building to powerful chorus, studio-polished production" **Bad**: "Sad song"
### Key Principles
1. **Specificity over vagueness** — describe instruments, mood, production style 2. **Avoid contradictions** — don't request "classical strings" and "hardcore metal" simultaneously 3. **Repetition reinforces priority** — repeat important elements for emphasis 4. **Sparse captions = more creative freedom** — detailed captions constrain the model 5. **Use metadata params for BPM/key** — don't write "120 BPM" in the caption, use `--bpm 120`
### Lyrics Formatting
**Structure tags** (use in lyrics, not caption): ``` [Intro] [Verse] [Chorus] [Bridge] [Outro] [Instrumental] [Guitar Solo] [Build] [Drop] [Breakdown] ```
**Vocal control** (prefix lines or sections): ``` [raspy vocal] [whispered] [falsetto] [powerful belting] [harmonies] [ad-lib] ```
**Energy indicators:** - UPPERCASE = high intensity ("WE RISE ABOVE") - Parentheses = background vocals ("We rise (together)") - Keep 6-10 syllables per line within sections for natural rhythm
**Example — Tech Product Jingle:** ``` [Verse] Build it better, ship it faster Every feature tells a story
[Chorus - anthemic] THIS IS YOUR PLATFORM Your vision, your stage Digital Samba, every page
[Outro - fade] (Build it better...) ```
## Video Production Integration
### Music for Scene Types
| Scene | Preset | Duration | Notes | |-------|--------|----------|-------| | Title | `dramatic` or `ambient` | 3-5s | Short, mood-setting | | Problem | `tension` | 10-15s | Dark, unsettling | | Solution | `hopeful` | 10-15s | Relief, optimism | | Demo | `lofi` or `corporate-bg` | 30-120s | Non-distracting, matches demo length | | Stats | `upbeat-tech` | 8-12s | Building credibility | | CTA | `cta` | 5-10s | Maximum energy, punchy | | Credits | `ambient` | 5-10s | Gentle fade-out |
### Timing Workflow
1. Plan scene durations first (from voiceover script) 2. Generate music to match: `--duration <scene_seconds>` 3. Music duration is precise (within 0.1s of requested) 4. For background music spanning multiple scenes: generate one long track
### Combining with Voiceover
Background music should be mixed at 10-20% volume in Remotion: ```tsx <Audio src={staticFile('voiceover.mp3')} volume={1} /> <Audio src={staticFile('bg-music.mp3')} volume={0.15} /> ```
For music under narration: use instrumental presets (`corporate-bg`, `ambient`, `lofi`). For music-forward scenes (title, CTA): can use higher volume or vocal tracks.
### Brand Consistency
Use `--brand <name>` to load hints from `brands/<name>/brand.json`. Use `--cover --reference brand_theme.mp3` to create variations of a brand's sonic identity. For consistent sound across a project: fix the seed (`--seed 42`) and vary only duration/prompt.
## Technical Details
- **Output**: 48kHz MP3/WAV/FLAC - **Duration range**: 10-600 seconds - **BPM range**: 30-300 - **Inference**: ~2-3s on GPU (turbo, 8 steps), ~40-60s on Mac MPS - **Turbo model**: 8 steps, no CFG needed, fast and good quality - **Shift parameter**: 3.0 recommended for turbo (improves quality)
### When NOT to use ACE-Step - **Voice cloning** — use Qwen3-TTS or ElevenLabs instead - **Sound effects** — use ElevenLabs SFX (`tools/sfx.py`) - **Speech/narration** — use voiceover tools, not music gen - **Stem extraction from video** — extract audio first with FFmpeg, then use `--extract`
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A practical pick for design or creative work: acestep: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use w... 55.3K stars https://www.openagentskill.com/skills/calesthio-acestep?ref=x
Listing + install path for acestep: https://www.openagentskill.com/skills/calesthio-acestep?ref=x Install: npx skills add calesthio/OpenMontage --skill acestep
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Install the "acestep" agent skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/acestep. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"calesthio-acestep","task":"Install acestep","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
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Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: acestep description: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks. ---
# ACE-Step 1.5 Music Generation
Open-source music generation (MIT license) via `tools/music_gen.py`. Runs on RunPod serverless. Requires `RUNPOD_API_KEY` and `RUNPOD_ACESTEP_ENDPOINT_ID` in `.env` (run `--setup` to create endpoint).
## Quick Reference
```bash # Basic generation python tools/music_gen.py --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3
# With musical control python tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3
# Scene presets (video production) python tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3 python tools/music_gen.py --preset tension --duration 20 --output problem.mp3 python tools/music_gen.py --preset cta --brand digital-samba --duration 15 --output cta.mp3
# Vocals with lyrics python tools/music_gen.py --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3
# Cover / style transfer python tools/music_gen.py --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3
# Stem extraction python tools/music_gen.py --extract vocals --input mixed.mp3 --output vocals.mp3
# List presets python tools/music_gen.py --list-presets ```
## Creating a Song (Step by Step)
### 1. Instrumental background track (simplest) ```bash python tools/music_gen.py --prompt "Upbeat indie rock, driving drums, jangly guitar" --duration 60 --bpm 120 --key "G Major" --output track.mp3 ```
### 2. Song with vocals and lyrics Write lyrics in a temp file or pass inline. Use structure tags to control song sections.
```bash # Write lyrics to a file first (recommended for longer songs) cat > /tmp/lyrics.txt << 'LYRICS' [Verse 1] Walking through the morning light Coffee in my hand feels right Another day to build and dream Nothing's ever what it seems
[Chorus - anthemic] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about
[Verse 2] Screens are glowing late at night Shipping code until it's right The deadline's close but so are we Almost there, just wait and see
[Chorus - bigger] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about
[Outro - fade] (Moving forward...) LYRICS
# Generate the song python tools/music_gen.py \ --prompt "Upbeat indie rock anthem, male vocal, driving drums, electric guitar, studio polish" \ --lyrics "$(cat /tmp/lyrics.txt)" \ --duration 60 \ --bpm 128 \ --key "G Major" \ --output my_song.mp3 ```
### 3. Using a preset for video background ```bash python tools/music_gen.py --preset tension --duration 20 --output problem_scene.mp3 ```
### Key tips for good results - **Caption = overall style** (genre, instruments, mood, production quality) - **Lyrics = temporal structure** (verse/chorus flow, vocal delivery) - **UPPERCASE in lyrics** = high vocal intensity - **Parentheses** = background vocals: "We rise (together)" - **Keep 6-10 syllables per line** for natural rhythm - **Don't describe the melody in the caption** — describe the *sound* and *feeling* - **Use `--seed`** to lock randomness when iterating on prompt/lyrics
## Scene Presets
| Preset | BPM | Key | Use Case | |--------|-----|-----|----------| | `corporate-bg` | 110 | C Major | Professional background, presentations | | `upbeat-tech` | 128 | G Major | Product launches, tech demos | | `ambient` | 72 | D Major | Overview slides, reflective content | | `dramatic` | 90 | D Minor | Reveals, announcements | | `tension` | 85 | A Minor | Problem statements, challenges | | `hopeful` | 120 | C Major | Solution reveals, resolutions | | `cta` | 135 | E Major | Call to action, closing energy | | `lofi` | 85 | F Major | Screen recordings, coding demos |
## Task Types
### text2music (default) Generate music from text prompt + optional lyrics.
### cover Style transfer from reference audio. Control blend with `--cover-strength` (0.0-1.0): - **0.2** — Loose style inspiration (more creative freedom) - **0.5** — Balanced style transfer - **0.7** — Close to original structure (default) - **1.0** — Maximum fidelity to source
### extract Stem separation — isolate individual tracks from mixed audio. Tracks: `vocals`, `drums`, `bass`, `guitar`, `piano`, `keyboard`, `strings`, `brass`, `woodwinds`, `other`
### repaint (future) Regenerate a specific time segment within existing audio while preserving the rest.
### lego (future, requires base model) Generate individual instrument tracks within an existing audio context.
### complete (future, requires base model) Extend partial compositions by adding specified instruments.
## Prompt Engineering
### Caption Writing — Layer Dimensions
Write captions by layering multiple descriptive dimensions rather than single-word descriptions.
**Dimensions to include:** - **Genre/Style**: pop, rock, jazz, electronic, lo-fi, synthwave, orchestral - **Emotion/Mood**: melancholic, euphoric, dreamy, nostalgic, intimate, tense - **Instruments**: acoustic guitar, synth pads, 808 drums, strings, brass, piano - **Timbre**: warm, crisp, airy, punchy, lush, polished, raw - **Era**: "80s synth-pop", "modern indie", "classical romantic" - **Production**: lo-fi, studio-polished, live recording, cinematic - **Vocal**: breathy, powerful, falsetto, raspy, spoken word (or "instrumental")
**Good**: "Slow melancholic piano ballad with intimate female vocal, warm strings building to powerful chorus, studio-polished production" **Bad**: "Sad song"
### Key Principles
1. **Specificity over vagueness** — describe instruments, mood, production style 2. **Avoid contradictions** — don't request "classical strings" and "hardcore metal" simultaneously 3. **Repetition reinforces priority** — repeat important elements for emphasis 4. **Sparse captions = more creative freedom** — detailed captions constrain the model 5. **Use metadata params for BPM/key** — don't write "120 BPM" in the caption, use `--bpm 120`
### Lyrics Formatting
**Structure tags** (use in lyrics, not caption): ``` [Intro] [Verse] [Chorus] [Bridge] [Outro] [Instrumental] [Guitar Solo] [Build] [Drop] [Breakdown] ```
**Vocal control** (prefix lines or sections): ``` [raspy vocal] [whispered] [falsetto] [powerful belting] [harmonies] [ad-lib] ```
**Energy indicators:** - UPPERCASE = high intensity ("WE RISE ABOVE") - Parentheses = background vocals ("We rise (together)") - Keep 6-10 syllables per line within sections for natural rhythm
**Example — Tech Product Jingle:** ``` [Verse] Build it better, ship it faster Every feature tells a story
[Chorus - anthemic] THIS IS YOUR PLATFORM Your vision, your stage Digital Samba, every page
[Outro - fade] (Build it better...) ```
## Video Production Integration
### Music for Scene Types
| Scene | Preset | Duration | Notes | |-------|--------|----------|-------| | Title | `dramatic` or `ambient` | 3-5s | Short, mood-setting | | Problem | `tension` | 10-15s | Dark, unsettling | | Solution | `hopeful` | 10-15s | Relief, optimism | | Demo | `lofi` or `corporate-bg` | 30-120s | Non-distracting, matches demo length | | Stats | `upbeat-tech` | 8-12s | Building credibility | | CTA | `cta` | 5-10s | Maximum energy, punchy | | Credits | `ambient` | 5-10s | Gentle fade-out |
### Timing Workflow
1. Plan scene durations first (from voiceover script) 2. Generate music to match: `--duration <scene_seconds>` 3. Music duration is precise (within 0.1s of requested) 4. For background music spanning multiple scenes: generate one long track
### Combining with Voiceover
Background music should be mixed at 10-20% volume in Remotion: ```tsx <Audio src={staticFile('voiceover.mp3')} volume={1} /> <Audio src={staticFile('bg-music.mp3')} volume={0.15} /> ```
For music under narration: use instrumental presets (`corporate-bg`, `ambient`, `lofi`). For music-forward scenes (title, CTA): can use higher volume or vocal tracks.
### Brand Consistency
Use `--brand <name>` to load hints from `brands/<name>/brand.json`. Use `--cover --reference brand_theme.mp3` to create variations of a brand's sonic identity. For consistent sound across a project: fix the seed (`--seed 42`) and vary only duration/prompt.
## Technical Details
- **Output**: 48kHz MP3/WAV/FLAC - **Duration range**: 10-600 seconds - **BPM range**: 30-300 - **Inference**: ~2-3s on GPU (turbo, 8 steps), ~40-60s on Mac MPS - **Turbo model**: 8 steps, no CFG needed, fast and good quality - **Shift parameter**: 3.0 recommended for turbo (improves quality)
### When NOT to use ACE-Step - **Voice cloning** — use Qwen3-TTS or ElevenLabs instead - **Sound effects** — use ElevenLabs SFX (`tools/sfx.py`) - **Speech/narration** — use voiceover tools, not music gen - **Stem extraction from video** — extract audio first with FFmpeg, then use `--extract`
Source provenance
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55,318 GitHub stars
Audit
Install and adoption review
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Scenario-led draft for acestep, ready for a manual X post.
A practical pick for design or creative work: acestep: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use w... 55.3K stars https://www.openagentskill.com/skills/calesthio-acestep?ref=x
Listing + install path for acestep: https://www.openagentskill.com/skills/calesthio-acestep?ref=x Install: npx skills add calesthio/OpenMontage --skill acestep
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Install targets
Codex install prompt
Install the "acestep" agent skill from https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/acestep. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"calesthio-acestep","task":"Install acestep","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add calesthio/OpenMontage --skill acestep
Maintenance
fresh
16d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
55K
93/100 Quality · 82/100 Trust
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Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
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ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
55K GitHub stars
Repo activity
55K stars, 6.9K forks
Maintenance
16d since push
License
AGPL-3.0
Install
npx skills add calesthio/OpenMontage --skill acestep
Install safety
Agent-readable metadata
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npx skills add calesthio/OpenMontage --skill acestepDo not use when
Alternative
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npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
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npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
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/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
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/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/calesthio-acestep/install
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Task: Use acestep in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20acestep%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/calesthio-acestep/install
Install command: npx skills add calesthio/OpenMontage --skill acestep
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/api/skills/search?q=acestep&limit=3
Agent prompt
Use acestep for this task. Review https://www.openagentskill.com/api/skills/calesthio-acestep/install, then install with: npx skills add calesthio/OpenMontage --skill acestepRegistry metadata
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Manifest
/api/registry/manifest/calesthio-acestep
LLM text
/api/registry/manifest/calesthio-acestep?format=text
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/api/registry/install/calesthio-acestep
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/api/registry/recommend?task=Use%20acestep%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
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Claude Code
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Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS55K GitHub stars
Stars/forks activity
PASS55K stars, 6.9K forks; issue activity unavailable in current metadata
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PASS16d since push
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PASSAGPL-3.0
Good signals
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Recommended action
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Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Process rich media
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I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
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Design, build, test, and ship interfaces
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Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
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Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: acestep description: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, or musical composition tasks. ---
# ACE-Step 1.5 Music Generation
Open-source music generation (MIT license) via `tools/music_gen.py`. Runs on RunPod serverless. Requires `RUNPOD_API_KEY` and `RUNPOD_ACESTEP_ENDPOINT_ID` in `.env` (run `--setup` to create endpoint).
## Quick Reference
```bash # Basic generation python tools/music_gen.py --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3
# With musical control python tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3
# Scene presets (video production) python tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3 python tools/music_gen.py --preset tension --duration 20 --output problem.mp3 python tools/music_gen.py --preset cta --brand digital-samba --duration 15 --output cta.mp3
# Vocals with lyrics python tools/music_gen.py --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3
# Cover / style transfer python tools/music_gen.py --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3
# Stem extraction python tools/music_gen.py --extract vocals --input mixed.mp3 --output vocals.mp3
# List presets python tools/music_gen.py --list-presets ```
## Creating a Song (Step by Step)
### 1. Instrumental background track (simplest) ```bash python tools/music_gen.py --prompt "Upbeat indie rock, driving drums, jangly guitar" --duration 60 --bpm 120 --key "G Major" --output track.mp3 ```
### 2. Song with vocals and lyrics Write lyrics in a temp file or pass inline. Use structure tags to control song sections.
```bash # Write lyrics to a file first (recommended for longer songs) cat > /tmp/lyrics.txt << 'LYRICS' [Verse 1] Walking through the morning light Coffee in my hand feels right Another day to build and dream Nothing's ever what it seems
[Chorus - anthemic] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about
[Verse 2] Screens are glowing late at night Shipping code until it's right The deadline's close but so are we Almost there, just wait and see
[Chorus - bigger] WE KEEP MOVING FORWARD Through the noise and doubt We keep moving forward That's what it's about
[Outro - fade] (Moving forward...) LYRICS
# Generate the song python tools/music_gen.py \ --prompt "Upbeat indie rock anthem, male vocal, driving drums, electric guitar, studio polish" \ --lyrics "$(cat /tmp/lyrics.txt)" \ --duration 60 \ --bpm 128 \ --key "G Major" \ --output my_song.mp3 ```
### 3. Using a preset for video background ```bash python tools/music_gen.py --preset tension --duration 20 --output problem_scene.mp3 ```
### Key tips for good results - **Caption = overall style** (genre, instruments, mood, production quality) - **Lyrics = temporal structure** (verse/chorus flow, vocal delivery) - **UPPERCASE in lyrics** = high vocal intensity - **Parentheses** = background vocals: "We rise (together)" - **Keep 6-10 syllables per line** for natural rhythm - **Don't describe the melody in the caption** — describe the *sound* and *feeling* - **Use `--seed`** to lock randomness when iterating on prompt/lyrics
## Scene Presets
| Preset | BPM | Key | Use Case | |--------|-----|-----|----------| | `corporate-bg` | 110 | C Major | Professional background, presentations | | `upbeat-tech` | 128 | G Major | Product launches, tech demos | | `ambient` | 72 | D Major | Overview slides, reflective content | | `dramatic` | 90 | D Minor | Reveals, announcements | | `tension` | 85 | A Minor | Problem statements, challenges | | `hopeful` | 120 | C Major | Solution reveals, resolutions | | `cta` | 135 | E Major | Call to action, closing energy | | `lofi` | 85 | F Major | Screen recordings, coding demos |
## Task Types
### text2music (default) Generate music from text prompt + optional lyrics.
### cover Style transfer from reference audio. Control blend with `--cover-strength` (0.0-1.0): - **0.2** — Loose style inspiration (more creative freedom) - **0.5** — Balanced style transfer - **0.7** — Close to original structure (default) - **1.0** — Maximum fidelity to source
### extract Stem separation — isolate individual tracks from mixed audio. Tracks: `vocals`, `drums`, `bass`, `guitar`, `piano`, `keyboard`, `strings`, `brass`, `woodwinds`, `other`
### repaint (future) Regenerate a specific time segment within existing audio while preserving the rest.
### lego (future, requires base model) Generate individual instrument tracks within an existing audio context.
### complete (future, requires base model) Extend partial compositions by adding specified instruments.
## Prompt Engineering
### Caption Writing — Layer Dimensions
Write captions by layering multiple descriptive dimensions rather than single-word descriptions.
**Dimensions to include:** - **Genre/Style**: pop, rock, jazz, electronic, lo-fi, synthwave, orchestral - **Emotion/Mood**: melancholic, euphoric, dreamy, nostalgic, intimate, tense - **Instruments**: acoustic guitar, synth pads, 808 drums, strings, brass, piano - **Timbre**: warm, crisp, airy, punchy, lush, polished, raw - **Era**: "80s synth-pop", "modern indie", "classical romantic" - **Production**: lo-fi, studio-polished, live recording, cinematic - **Vocal**: breathy, powerful, falsetto, raspy, spoken word (or "instrumental")
**Good**: "Slow melancholic piano ballad with intimate female vocal, warm strings building to powerful chorus, studio-polished production" **Bad**: "Sad song"
### Key Principles
1. **Specificity over vagueness** — describe instruments, mood, production style 2. **Avoid contradictions** — don't request "classical strings" and "hardcore metal" simultaneously 3. **Repetition reinforces priority** — repeat important elements for emphasis 4. **Sparse captions = more creative freedom** — detailed captions constrain the model 5. **Use metadata params for BPM/key** — don't write "120 BPM" in the caption, use `--bpm 120`
### Lyrics Formatting
**Structure tags** (use in lyrics, not caption): ``` [Intro] [Verse] [Chorus] [Bridge] [Outro] [Instrumental] [Guitar Solo] [Build] [Drop] [Breakdown] ```
**Vocal control** (prefix lines or sections): ``` [raspy vocal] [whispered] [falsetto] [powerful belting] [harmonies] [ad-lib] ```
**Energy indicators:** - UPPERCASE = high intensity ("WE RISE ABOVE") - Parentheses = background vocals ("We rise (together)") - Keep 6-10 syllables per line within sections for natural rhythm
**Example — Tech Product Jingle:** ``` [Verse] Build it better, ship it faster Every feature tells a story
[Chorus - anthemic] THIS IS YOUR PLATFORM Your vision, your stage Digital Samba, every page
[Outro - fade] (Build it better...) ```
## Video Production Integration
### Music for Scene Types
| Scene | Preset | Duration | Notes | |-------|--------|----------|-------| | Title | `dramatic` or `ambient` | 3-5s | Short, mood-setting | | Problem | `tension` | 10-15s | Dark, unsettling | | Solution | `hopeful` | 10-15s | Relief, optimism | | Demo | `lofi` or `corporate-bg` | 30-120s | Non-distracting, matches demo length | | Stats | `upbeat-tech` | 8-12s | Building credibility | | CTA | `cta` | 5-10s | Maximum energy, punchy | | Credits | `ambient` | 5-10s | Gentle fade-out |
### Timing Workflow
1. Plan scene durations first (from voiceover script) 2. Generate music to match: `--duration <scene_seconds>` 3. Music duration is precise (within 0.1s of requested) 4. For background music spanning multiple scenes: generate one long track
### Combining with Voiceover
Background music should be mixed at 10-20% volume in Remotion: ```tsx <Audio src={staticFile('voiceover.mp3')} volume={1} /> <Audio src={staticFile('bg-music.mp3')} volume={0.15} /> ```
For music under narration: use instrumental presets (`corporate-bg`, `ambient`, `lofi`). For music-forward scenes (title, CTA): can use higher volume or vocal tracks.
### Brand Consistency
Use `--brand <name>` to load hints from `brands/<name>/brand.json`. Use `--cover --reference brand_theme.mp3` to create variations of a brand's sonic identity. For consistent sound across a project: fix the seed (`--seed 42`) and vary only duration/prompt.
## Technical Details
- **Output**: 48kHz MP3/WAV/FLAC - **Duration range**: 10-600 seconds - **BPM range**: 30-300 - **Inference**: ~2-3s on GPU (turbo, 8 steps), ~40-60s on Mac MPS - **Turbo model**: 8 steps, no CFG needed, fast and good quality - **Shift parameter**: 3.0 recommended for turbo (improves quality)
### When NOT to use ACE-Step - **Voice cloning** — use Qwen3-TTS or ElevenLabs instead - **Sound effects** — use ElevenLabs SFX (`tools/sfx.py`) - **Speech/narration** — use voiceover tools, not music gen - **Stem extraction from video** — extract audio first with FFmpeg, then use `--extract`
Source provenance
Decision snapshot
55,318 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for acestep, ready for a manual X post.
A practical pick for design or creative work: acestep: AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction for video production. Use w... 55.3K stars https://www.openagentskill.com/skills/calesthio-acestep?ref=x
Listing + install path for acestep: https://www.openagentskill.com/skills/calesthio-acestep?ref=x Install: npx skills add calesthio/OpenMontage --skill acestep
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
175.1K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
85.2K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
175.1K StarsPermission surface
secrets or environment access, shell or command execution
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Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness