VRGDG H3 Short Film Pipeline
vrgamegirl19/comfyui-vrgamedevgirl
Builds an AI short film in a local ComfyUI with the VRGDG Video Builder, MiniMax H3 scenes, reference images, a music score, QA and a final edit.
Generates background music, vocal tracks, covers and stems with ACE-Step 1.5 through a bundled music_gen.py tool, using cloud or self-hosted providers.
Install ACE-Step Music Generation
$ npx skills add digitalsamba/claude-code-video-toolkit --skill acestep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit acestep --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/acestep .claude/skills/acestep && rm -rf skills-srcUse ~/.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/
Install the "acestep" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/acestep into .claude/skills/acestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acestep", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/acestepType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add digitalsamba/claude-code-video-toolkit --skill acestep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit acestep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/acestep .agents/skills/acestep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "acestep" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/acestep into .agents/skills/acestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acestep", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add digitalsamba/claude-code-video-toolkit --skill acestep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit acestep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/acestep .cursor/skills/acestep && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "acestep" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/acestep into .cursor/skills/acestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acestep", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/digitalsamba/claude-code-video-toolkit.git --path .claude/skills/acestep--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add digitalsamba/claude-code-video-toolkit --skill acestep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit acestep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/acestep .gemini/skills/acestep && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "acestep" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/acestep into .gemini/skills/acestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acestep", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install digitalsamba/claude-code-video-toolkit acestepInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add digitalsamba/claude-code-video-toolkit --skill acestep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/acestep .github/skills/acestep && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "acestep" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/acestep into .github/skills/acestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acestep", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add digitalsamba/claude-code-video-toolkit --skill acestep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit acestep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/acestep .opencode/skills/acestep && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "acestep" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/acestep into .opencode/skills/acestep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acestep", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
acestep- GitHub stars
- 2.2k
- Token cost
- ~3.3k tokens
- SKILL.md length
- 1,052 words
- Files
- 1
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generates background music, vocal tracks, covers and stems with ACE-Step 1.5 through a bundled music_gen.py tool, using cloud or self-hosted providers.
- Works in 4 steps: Instrumental background track (simplest) → Song with vocals and lyrics → Repaint a weak section → …
- Creating background music for a video from a short prompt
- SKILL.md covers Setup, Quick Reference, Fixing "Samey" Output and Creating a Song (Step by Step), plus 6 more sections
- Calls uv; reaches acemusic.ai; needs ACEMUSIC_API_KEY
What it does
This skill documents tools/music_gen.py, an open-source music generation tool built on ACE-Step 1.5, aimed at video production. It covers background music and soundtracks, songs with vocals and lyrics using structure tags, covers and style transfer, stem extraction, repainting a weak section of a track, and continuing or extending a track. Typical commands set a prompt, duration, BPM, key and output file.
Three providers are supported. The default, acemusic, is the official ACE-Step cloud API, needs a free API key and no GPU. Modal and RunPod run a self-hosted 2B Turbo model and need endpoint settings in the environment. A troubleshooting list for repetitive output suggests keeping thinking mode on, generating several variations, using stochastic inference, varying BPM, key and seed across scenes and writing sparser prompts.
When your agent uses it
- Creating background music for a video from a short prompt
- Writing a song with vocals and lyrics
- Repainting a weak chorus or extending an existing track
- Extracting stems from a song
Example prompts
- “Generate 60 seconds of upbeat tech corporate background music as bg.mp3.”
- “Write an indie rock song with lyrics about a road trip and save it as track.mp3.”
- “Repaint the chorus of my_song.mp3 between 20 and 35 seconds with bigger drums.”
- “Extract the stems from demo.mp3.”
Requirements
- An ACEMUSIC_API_KEY for the default cloud provider
- uv, to run tools/music_gen.py
- Modal or RunPod endpoint settings for self-hosted generation
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 2c99460. 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
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
acemusic.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ACEMUSIC_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
ACE-Step Music Generation loads about 3.3k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 1,052 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:19
echo "ACEMUSIC_API_KEY=your_key" >> .env
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 digitalsamba/claude-code-video-toolkit at commit 2c99460, republished under its MIT licence (© digitalsamba). 1,052 words, ~3,321 tokens.
Download SKILL.mdSave it as
.claude/skills/acestep/SKILL.md (or your agent's skills folder).- name
- acestep
- description
- AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction, audio repainting, and continuation 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, repaint, continuation, or musical composition tasks.
ACE-Step 1.5 Music Generation
Open-source music generation via tools/music_gen.py.
Cloud providers:
- acemusic (default) — Official ACE-Step cloud API with XL Turbo (4B) model + 5Hz LM thinking mode. Free API key from acemusic.ai/api-key. No GPU required.
- modal — Self-hosted ACE-Step 2B Turbo on Modal. Requires
MODAL_MUSIC_GEN_ENDPOINT_URL. - runpod — Self-hosted ACE-Step 2B Turbo on RunPod. Requires
RUNPOD_ACESTEP_ENDPOINT_ID.
Setup
# acemusic (recommended — free, best quality, no GPU)
echo "ACEMUSIC_API_KEY=your_key" >> .env
# Get key at https://acemusic.ai/api-key
# Self-hosted (optional fallback)
uv run tools/music_gen.py --setup # RunPod
uv run modal deploy docker/modal-music-gen/app.py # ModalQuick Reference
# Basic generation (uses acemusic XL Turbo by default)
uv run tools/music_gen.py --prompt "Upbeat tech corporate" --duration 60 --output bg.mp3
# Generate 4 variations, pick the best
uv run tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --variations 4 --output ambient.mp3
# Fast mode (disable thinking)
uv run tools/music_gen.py --no-thinking --prompt "Quick draft" --duration 30 --output draft.mp3
# With musical control
uv run tools/music_gen.py --prompt "Calm ambient piano" --duration 30 --bpm 72 --key "D Major" --output ambient.mp3
# Scene presets (video production)
uv run tools/music_gen.py --preset corporate-bg --duration 60 --output bg.mp3
uv run tools/music_gen.py --preset tension --duration 20 --output problem.mp3
uv run tools/music_gen.py --preset cta --brand digital-samba --duration 15 --output cta.mp3
# Vocals with lyrics
uv run tools/music_gen.py --prompt "Indie pop jingle" --lyrics "[verse]\nBuild it better\nShip it faster" --duration 30 --output jingle.mp3
# Cover / style transfer
uv run tools/music_gen.py --cover --reference theme.mp3 --prompt "Jazz piano version" --duration 60 --output jazz_cover.mp3
# Repaint a weak section
uv run tools/music_gen.py --repaint --input track.mp3 --repaint-start 15 --repaint-end 25 --prompt "Guitar solo" --output fixed.mp3
# Continue from existing audio
uv run tools/music_gen.py --continuation --input track.mp3 --prompt "Continue with jazz piano" --output extended.mp3
# Stem extraction
uv run tools/music_gen.py --extract vocals --input mixed.mp3 --output vocals.mp3
# Fall back to self-hosted
uv run tools/music_gen.py --cloud modal --prompt "Background music" --duration 60 --output bg.mp3Fixing "Samey" Output
If generated music sounds repetitive or lacks variety, try these in order:
- Use acemusic cloud (default) — the XL Turbo 4B model is significantly more capable than the 2B model on Modal/RunPod
- Keep thinking mode on (default for acemusic) — the 5Hz LM enriches sparse prompts into detailed musical descriptions
- Generate variations —
--variations 4generates 4 takes, pick the best - Use stochastic inference —
--infer-method sdeadds randomness (same seed gives different results) - Vary BPM and key across scenes — don't use the same preset for every scene
- Write sparser prompts — "Upbeat indie rock" gives the model more creative freedom than a hyper-detailed description
- Vary seeds — omit
--seedto let each generation be unique
Creating a Song (Step by Step)
1. Instrumental background track (simplest)
uv run tools/music_gen.py --prompt "Upbeat indie rock, driving drums, jangly guitar" --duration 60 --bpm 120 --key "G Major" --output track.mp32. Song with vocals and lyrics
Write lyrics in a temp file or pass inline. Use structure tags to control song sections.
# 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
uv run 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.mp33. Repaint a weak section
If the chorus sounds weak, regenerate just that section:
uv run tools/music_gen.py --repaint --input my_song.mp3 --repaint-start 20 --repaint-end 35 --prompt "Powerful anthemic chorus, big drums" --output fixed.mp34. Continue/extend a track
uv run tools/music_gen.py --continuation --input my_song.mp3 --prompt "Continue with gentle acoustic outro" --output extended.mp3Key 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
--seedto lock randomness when iterating on prompt/lyrics
Controlling vocal gender
The model doesn't reliably follow "female vocal" or "male vocal" on its own. Use both of these together:
- In the prompt: Be explicit — "solo female singer, alto voice" or "female vocalist only, breathy intimate voice". Adding an artist reference helps (e.g., "Brandi Carlile style").
- In the lyrics: Add
[female vocal]tags before each section:
[female vocal]
[Verse 1]
Walking through the morning light...
[female vocal]
[Chorus - anthemic]
WE KEEP MOVING FORWARD...Just saying "female vocal" in the prompt alone is often ignored. The combination of prompt + lyrics tags is what works.
Duets and vocal trading
For duets with male/female vocals trading verses, use both the prompt and per-section lyrics tags:
- Prompt: "duet, male and female vocals trading verses, warm harmonies on chorus"
- Lyrics: Tag each section with who sings it:
[Verse 1 - male vocal, storytelling]
First verse lyrics here...
[Chorus - male and female duet, harmonies]
Chorus lyrics here...
[Verse 2 - female vocal, wry]
Second verse lyrics here...
[Bridge - male vocal, spoken]
Spoken bridge...
[Bridge - female vocal, sung]
Sung response...This reliably produces vocal trading between sections and harmonies on shared parts.
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
repainting (acemusic only)
Regenerate a specific time segment within existing audio while preserving the rest.
uv run tools/music_gen.py --repaint --input track.mp3 --repaint-start 15 --repaint-end 25 --prompt "Guitar solo" --output fixed.mp3continuation (acemusic only)
Extend existing audio by continuing from where it ends.
uv run tools/music_gen.py --continuation --input track.mp3 --prompt "Continue with jazz piano" --output extended.mp3Prompt 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"
Show full SKILL.md (382 more words)Show less
Key Principles
- Specificity over vagueness — describe instruments, mood, production style
- Avoid contradictions — don't request "classical strings" and "hardcore metal" simultaneously
- Repetition reinforces priority — repeat important elements for emphasis
- Sparse captions = more creative freedom — detailed captions constrain the model
- 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
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
- Plan scene durations first (from voiceover script)
- Generate music to match:
--duration <scene_seconds> - Music duration is precise (within 0.1s of requested)
- For background music spanning multiple scenes: generate one long track
Combining with Voiceover
Background music should be mixed at 10-20% volume in Remotion:
<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.
Advanced Parameters
| Flag | Default | Description |
|---|---|---|
--thinking | on (acemusic) | 5Hz LM enriches prompts and generates audio codes |
--no-thinking | - | Faster generation, skip LM reasoning |
--variations N | 1 | Generate N variations (1-8, acemusic only) |
--guidance-scale | 7.0 | Prompt adherence (1.0-15.0) |
--infer-method | ode | ode (deterministic) or sde (stochastic, more variety) |
--seed | random | Lock randomness for reproducibility |
Technical Details
- acemusic cloud: XL Turbo 4B DiT + 4B LM, best quality, ~5-15s per generation
- Modal/RunPod: Standard Turbo 2B DiT, no LM, ~2-3s per generation
- Output: 48kHz MP3/WAV/FLAC
- Duration range: 10-600 seconds
- BPM range: 30-300
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
© digitalsamba, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/acestep of digitalsamba/claude-code-video-toolkit.
Open the folder on GitHubat commit 2c99460
Compare with similar skills
ACE-Step Music Generation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| ACE-Step Music Generation this skilldigitalsamba/claude-code-video-toolkit | 2.2k | — | ~3.3k | Automated safety check: Notes | MIT | |
| VRGDG H3 Short Film Pipelinevrgamegirl19/comfyui-vrgamedevgirl | 763 | — | ~4.2k | Automated safety check: Pass | Custom licence | |
| Music to Videoheygen-com/hyperframes | 59k | 3 repos | ~4.7k | Automated safety check: Notes | Apache-2.0 | |
| Qiaomu Cutjoeseesun/qiaomu-cut-skill | 372 | — | ~6.8k | Automated safety check: Notes | MIT | |
| HyperFrames Audioheygen-com/hyperframes | 59k | 1 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Paper Collage Explainer Generatortl2012tl/comfyUI-llama-TE | 241 | 4 repos | ~5.2k | Automated safety check: Pass | None |
Similar skills
Music to Video
heygen-com/hyperframes
Turns a music track into a beat-synced HyperFrames video such as a lyric video, slideshow or kinetic promo, with any supplied images or clips cut onto the beat grid.
Qiaomu Cut
joeseesun/qiaomu-cut-skill
把一句话需求转成可复现、可验收视频工程的乔木智能剪辑导演。Use when the user asks to create, plan, edit, remix, explain, narrate, subtitle, animate, composite, or render a video—including one-line requests such as “制作一个科普视频：介绍…
HyperFrames Audio
heygen-com/hyperframes
Mixes audio already placed in a HyperFrames composition: fades, gain, ducking under a voiceover, effect chains, automation and shared submix buses.
Paper Collage Explainer Generator
tl2012tl/comfyUI-llama-TE
For creators, educators, and social-video editors who need a tactile paper-collage language for narration, knowledge points, opinions, or abstract topics.
Showtime
FavioVazquez/showtime
A skill your agent uses when the user wants a video made, edited or finished: a launch or promo, product demo, explainer, trailer or teaser, tutorial or walkthrough, a screen recording turned into a…
More from digitalsamba/claude-code-video-toolkit
All 11 skills in this repoFFmpeg for Video Production
digitalsamba/claude-code-video-toolkit
Command recipes for converting, resizing, compressing, trimming and extracting audio from video with FFmpeg, including settings for Remotion projects.
ElevenLabs Voiceover Generator
digitalsamba/claude-code-video-toolkit
Generates narration, sound effects and cloned voices through the ElevenLabs API, with model and setting choices tuned to the content's style.
LTX-2.3 Video Generation
digitalsamba/claude-code-video-toolkit
Generates roughly five-second video clips from a text prompt or a still image with the LTX-2.3 22B model, run through a Modal endpoint by `tools/ltx2.py`.
Playwright Browser Demo Recording
digitalsamba/claude-code-video-toolkit
Records browser interactions as video with Playwright, covering viewport sizing, cursor highlighting, and converting output for Remotion.
Ideogram 4 Prompt Builder
digitalsamba/claude-code-video-toolkit
Turns a casual image request into the structured JSON caption Ideogram 4 needs for legible on-image text, exact brand colors and controlled layout.
moviepy Text-on-Video Composer
digitalsamba/claude-code-video-toolkit
Overlays deterministic, accurate text on AI-generated video clips and builds short single-file Python video projects without a Remotion toolchain.
Related
Categories
Questions about ACE-Step Music Generation
What does ACE-Step Music Generation do?
Generates background music, vocal tracks, covers and stems with ACE-Step 1.5 through a bundled music_gen.py tool, using cloud or self-hosted providers. 5, aimed at video production. It covers background music and soundtracks, songs with vocals and lyrics using structure tags, covers and style transfer, stem extraction, repainting a weak section of a track, and continuing or extending a track.
When should I use ACE-Step Music Generation?
ACE-Step Music Generation fits situations like: creating background music for a video from a short prompt; writing a song with vocals and lyrics; repainting a weak chorus or extending an existing track; extracting stems from a song.
How do I install ACE-Step Music Generation in Claude Code?
Run `npx skills add digitalsamba/claude-code-video-toolkit --skill acestep -a claude-code`. Or copy the skill folder (.claude/skills/acestep in digitalsamba/claude-code-video-toolkit) into .claude/skills/acestep in your project. Claude Code loads it when a task matches its description.
How do I install ACE-Step Music Generation in Codex?
Run `npx skills add digitalsamba/claude-code-video-toolkit --skill acestep -a codex`. Or copy the skill folder (.claude/skills/acestep in digitalsamba/claude-code-video-toolkit) into .agents/skills/acestep in your project. Codex loads it when a task matches its description.
Can I use ACE-Step Music Generation 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 digitalsamba/claude-code-video-toolkit --skill acestep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/acestep, .gemini/skills/acestep, .github/skills/acestep and .opencode/skills/acestep in your project.
What does ACE-Step Music Generation need to run?
Going by SKILL.md and its folder, ACE-Step Music Generation needs the command-line tools its instructions call (uv) and credentials named ACEMUSIC_API_KEY. Our summary lists: An ACEMUSIC_API_KEY for the default cloud provider; uv, to run tools/music_gen.py; Modal or RunPod endpoint settings for self-hosted generation.
Does ACE-Step Music Generation access the network?
SKILL.md names 1 domain. In commands or code: acemusic.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is ACE-Step Music Generation safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does ACE-Step Music Generation use?
ACE-Step Music Generation 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 ACE-Step Music Generation use?
About 3.3k tokens (SKILL.md is roughly 13k 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 ACE-Step Music Generation?
Skills that share tags, products or a category with ACE-Step Music Generation: VRGDG H3 Short Film Pipeline (vrgamegirl19/comfyui-vrgamedevgirl, 763 stars), Music to Video (heygen-com/hyperframes, 59k stars), Qiaomu Cut (joeseesun/qiaomu-cut-skill, 372 stars) and HyperFrames Audio (heygen-com/hyperframes, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains ACE-Step Music Generation?
digitalsamba (a GitHub organization) maintains it in digitalsamba/claude-code-video-toolkit, which has 2,185 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 5, 2026.
Source: digitalsamba/claude-code-video-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.