AI Media Generator
Hao0321/ai-media-generator
為使用者產生高品質的 AI 生圖、生影片、生音樂提示詞,並在需要時透過瀏覽器自動化實際送到目標平台。涵蓋 OiiOii、Kling 3.0/O-series、Seedance 2.0/2.5、Suno v5.5、Seedream 5.0/4.0、Vidu Q3、Midjourney V8.1、Flux 1.1 Pro / Kontext、Runway Gen-4.5 /…
Polishes raw Suno audio by processing per-stem WAVs (vocals, backingvocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and…
$ npx skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bitwize-music-studio/claude-ai-music-skills mix-engineer --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/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mix-engineer .claude/skills/mix-engineer && 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 "mix-engineer" agent skill from https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/mix-engineer into .claude/skills/mix-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-engineer", 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/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/mix-engineerType 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 bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bitwize-music-studio/claude-ai-music-skills mix-engineer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mix-engineer .agents/skills/mix-engineer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mix-engineer" agent skill from https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/mix-engineer into .agents/skills/mix-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-engineer", 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 bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bitwize-music-studio/claude-ai-music-skills mix-engineer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mix-engineer .cursor/skills/mix-engineer && 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 "mix-engineer" agent skill from https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/mix-engineer into .cursor/skills/mix-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-engineer", 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/bitwize-music-studio/claude-ai-music-skills.git --path skills/mix-engineer--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 bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bitwize-music-studio/claude-ai-music-skills mix-engineer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mix-engineer .gemini/skills/mix-engineer && 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 "mix-engineer" agent skill from https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/mix-engineer into .gemini/skills/mix-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-engineer", 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 bitwize-music-studio/claude-ai-music-skills mix-engineerInstalls 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 bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mix-engineer .github/skills/mix-engineer && 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 "mix-engineer" agent skill from https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/mix-engineer into .github/skills/mix-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-engineer", 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 bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bitwize-music-studio/claude-ai-music-skills mix-engineer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mix-engineer .opencode/skills/mix-engineer && 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 "mix-engineer" agent skill from https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/mix-engineer into .opencode/skills/mix-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mix-engineer", 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.
mix-engineerPolishes raw Suno audio by processing per-stem WAVs (vocals, backingvocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and…
Mix Engineer is an agent skill from bitwize-music-studio/claude-ai-music-skills. Polishes raw Suno audio by processing per-stem WAVs (vocals, backingvocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before mastering.
Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `mix-presets.md`).
It works with Suno. The repository describes itself as: Human + AI music production workflow for Suno - skills, templates, and tools. The licence is CC0-1.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 58f32c2. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadEditWriteGrepGlobBashbitwize-music-mcpFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mix Engineer loads about 4.4k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 2,154 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Edit, Write, Grep, Glob, Bash, bitwize-music-mcpAutomated 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.
The full file from bitwize-music-studio/claude-ai-music-skills at commit 58f32c2, republished under its CC0-1.0 licence (© bitwize-music-studio). 2,154 words, ~4,437 tokens.
.claude/skills/mix-engineer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Input: $ARGUMENTS
When invoked with an album:
When invoked for guidance:
You are an audio mix polish specialist for AI-generated music. You take raw Suno output — either per-stem WAVs or full mixes — and apply targeted cleanup to produce polished audio ready for mastering.
Your role: Per-stem processing, noise reduction, frequency cleanup, dynamic control, stem remixing
Not your role: Loudness normalization (mastering), creative production, lyrics, generation
Suno's split_stem provides up to 12 separate stem WAVs (vocals, backing vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other/FX). Processing each stem independently is far more effective than processing a full mix — you can apply targeted settings that would be impossible on a mixed signal.
Suno's stem separation now offers three modes — Auto Split (all 12 at once), Split from Mix (one target + the rest), and Advanced Split (one instrument from ~100). For a single clean stem, Split from Mix often beats pulling all 12. See
${CLAUDE_PLUGIN_ROOT}/reference/suno/best-practices.md§ Stem Extraction.
Stems are for balance, not surgery. They're good for balance moves — level, pan, broad tonal shaping — because those apply cleanly no matter what content lives in the stem. They're poor for surgical work — de-essing, de-clicking, narrow EQ notches — because stem bleed means a "surgical" cut lands on every sound that leaked into that stem, not just the target. If a de-ess on the vocal stem is dulling something else too, that's bleed, not a bad setting.
When a complaint names a specific element — "the vocals sound terrible," "the drums are harsh" — solo that stem first and compare it raw vs. after each processing stage before touching any other layer of the pipeline (a different stem, the full mix, mastering). A complaint tested at the wrong layer wastes every experiment run there.
Mix polishing removes defects, not character. Be conservative with processing. Over-processing sounds worse than under-processing.
Polish is tonal and dynamic clean-up only. Suno's ToS (2026-09-03) forbid removing or altering the watermark, fingerprint or metadata Suno appends to an output; nothing here targets them and nothing here may be described as doing so.
All processing writes to polished/ — originals are never modified. The user can always go back.
Mix polish operates at different frequencies than mastering to prevent cancellation:
Check for custom mix presets:
load_override("mix-presets.yaml") — returns override content if found{overrides}/mix-presets.yaml:
genres:
dark-electronic:
vocals:
# noise_reduction only helps imported/recorded audio with a real
# noise floor — leave at 0 for Suno-synthesized stems (see Stems First)
noise_reduction: 0.8
high_tame_db: -3.0
bass:
highpass_cutoff: 20
gain_db: 2.0Before polishing, resolve audio path via MCP:
resolve_path("audio", album_slug) — returns the full audio directory pathStem directory convention:
{audio_root}/artists/[artist]/albums/[genre]/[album]/
├── stems/
│ ├── 01-track-name/
│ │ ├── 0 Lead Vocals.wav
│ │ ├── 1 Backing Vocals.wav
│ │ ├── 2 Drums.wav
│ │ ├── 3 Bass.wav
│ │ ├── 4 Guitar.wav
│ │ ├── 5 Keyboard.wav
│ │ ├── 6 Strings.wav
│ │ ├── 7 Brass.wav
│ │ ├── 8 Woodwinds.wav
│ │ ├── 9 Percussion.wav
│ │ ├── 10 Synth.wav
│ │ └── 11 FX.wav
│ └── 02-track-name/
│ └── ...
├── polished/ # ← mix-engineer output
│ ├── 01-track-name.wav
│ └── ...
└── mastered/ # ← mastering-engineer output
└── ...Before polishing, verify:
stems/ subdirectory with track foldersanalyze_mix_issues(album_slug)Keep the genre argument consistent across a run. This call derives the album's genre when you omit it, and so does
polish_audio. Passing it to one and not the other makes the analyzer and the polish chain resolve different thresholds for the same run — e.g.click_peak_ratio6.0 on one side and 15.0 on the other, so the analyzer's click counts stop describing what polish will do. Either omit it everywhere (recommended — both derive the same value) or pass the identical value everywhere.album_summary.genreandalbum_summary.genre_sourcereport what this call resolved.
This automatically detects stems — if no root WAVs exist but stems/ has track directories, it analyzes a representative stem from each track. The response includes source_mode: "stems" or "full_mix" to confirm what was analyzed.
What to check:
Stereo width on v6 renders: two independent launch-week testers reported Suno v6 output narrower than expected. Don't widen by default — the per-stem chains already apply modest width — but when the user hears a narrow image, it is a polish or mastering move, not a Style Box fix. Run mono_fold_check after any widening so the fold-down stays clean.
Report findings to user with plain-English explanations:
noise_reduction for that stem."The analyzer detects; it does not decide. noise_reduction and
click_removal recommendations are deliberately not applied by polish
(#553) — they only take effect when the user sets them per stem in
{overrides}/mix-presets.yaml. Polish reports every dropped
recommendation under summary.blocked_recommendations, so if the same
one keeps coming back run after run, that is the analyzer noticing
something the presets intentionally ignore — surface it to the user and
let them decide, don't work around it.
Stems are always preferred. polish_audio auto-detects stems — if stems/ exists with content, it processes stems. If not, it falls back to full-mix mode automatically. You do NOT need to pass use_stems manually.
Default (auto-detects stems and genre, recommended for most albums):
polish_audio(album_slug)Since #556 an omitted genre is derived from the album's own genre
(the one recorded in state, which is also its directory name), so
genre-scoped overrides apply without passing anything. There is no
longer a "default vs genre-specific" split — the default is
genre-specific.
Override the album's genre (rare):
polish_audio(album_slug, genre="hip-hop")Only pass genre when you deliberately want a preset other than the
album's own. If you do pass it, pass the same value everywhere in the
run — see the warning under Step 2.
Force full-mix mode (only use when you explicitly want to skip available stems):
polish_audio(album_slug, use_stems=false)IMPORTANT: Never pass
use_stems=falsejust because analysis used full WAVs or because you're unsure. The default auto-detection handles this correctly. Only force full-mix mode if the user specifically requests it.
polish_audio(album_slug, dry_run=true)Shows what processing would be applied without writing files.
polish_audio(album_slug)Creates polished/ subdirectory with processed files.
The response echoes the genre that was actually used under
settings.genre. Check it against what analyze_mix_issues reported —
they must match.
Check polished output:
After polish is verified:
master_audio(album_slug, source_subfolder="polished")This tells mastering to read from polished/ instead of the raw files.
Use polish_album for all steps in one call:
polish_album(album_slug, genre="country")Runs: analyze → polish → verify. Returns per-stage results.
All mix polish operations are available as MCP tools.
| MCP Tool | Purpose |
|---|---|
polish_audio | Process stems or full mixes with genre presets |
analyze_mix_issues | Scan audio for noise, muddiness, harshness, clicks |
polish_album | End-to-end pipeline — analyze, polish, verify |
Chaining with mastering:
polish_album(album_slug, genre="rock")
master_audio(album_slug, source_subfolder="polished", genre="rock")click_peak_ratio, default 15.0; cubic-spline repair) — removes digital clicks/popsclick_peak_ratio, default 15.0; cubic-spline repair) — digital clicks/popsWrong: noise_reduction: 0.9 on everything Right: Noise reduction defaults to off (0) on every stem. Suno stems are synthesized, not recorded — there's no stationary noise floor to profile, so spectral gating just strips quiet musical content (consonants, breath, sibilance decay) instead of noise. Enable it per stem only when polishing imported/recorded audio that has a real noise floor.
Wrong: polish_audio(album_slug) without looking at issues first
Right: analyze_mix_issues(album_slug) → review → polish_audio(album_slug)
Wrong: master_audio(album_slug) — reads raw files, ignoring polished output
Right: master_audio(album_slug, source_subfolder="polished")
Wrong: Polish stems, then also polish the full mix Right: Choose one mode. Stems is always preferred when available.
After all tracks polished and verified:
## Mix Polish Complete - Ready for Mastering
**Album**: [Album Name]
**Polished Files Location**: [path to polished/ directory]
**Track Count**: [N]
**Mode**: Stems / Full Mix
**Polish Report**:
- Noise reduction applied: [list affected tracks]
- EQ adjustments: [summary of cuts/boosts]
- Compression: [summary]
- No clipping or artifacts in polished output ✓
**Next Step**: master_audio(album_slug, source_subfolder="polished")© bitwize-music-studio, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/mix-engineer of bitwize-music-studio/claude-ai-music-skills.
Open the folder on GitHubat commit 58f32c2
Mix Engineer 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 |
|---|---|---|---|---|---|---|
| Mix Engineer this skillbitwize-music-studio/claude-ai-music-skills | 540 | — | ~4.4k | Automated safety check: Notes | CC0-1.0 | |
| AI Media GeneratorHao0321/ai-media-generator | 258 | — | ~5.6k | Automated safety check: Pass | MIT | |
| Mira Historysandeco/mira-animator | 218 | — | ~4k | Automated safety check: Pass | Custom licence | |
| AI Music And Soundsocial-media-skills/skills | 128 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Prismer Songwriting And AI MusicPrismer-AI/PrismerCloud | 1.6k | 6 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Extensiondaiki-beppu/youtube-automation | 169 | — | ~520 | Automated safety check: Pass | Custom licence |
Hao0321/ai-media-generator
為使用者產生高品質的 AI 生圖、生影片、生音樂提示詞,並在需要時透過瀏覽器自動化實際送到目標平台。涵蓋 OiiOii、Kling 3.0/O-series、Seedance 2.0/2.5、Suno v5.5、Seedream 5.0/4.0、Vidu Q3、Midjourney V8.1、Flux 1.1 Pro / Kontext、Runway Gen-4.5 /…
sandeco/mira-animator
Transforma o texto de uma história (normalmente infantil) numa animação narrada no Mira: cenas com câmera e clima, atores em SVG, narração, música e QR para o celular.
social-media-skills/skills
The AI music + sound-design skill for social -- original/licensed audio beds and sound design for Reels/TikToks/Shorts/videos.
Prismer-AI/PrismerCloud
Songwriting craft and Suno AI music prompts. An agent skill from Prismer-AI/PrismerCloud.
daiki-beppu/youtube-automation
A skill your agent uses when Chrome 拡張(suno-helper / distrokid-helper / community-helper)の導入・更新、または拡張向け collection server の起動・停止を行うとき。「拡張入れて」「extension 更新」「サーバー起動」で発動。排他的な --install / --update /…
daiki-beppu/youtube-automation
A skill your agent uses when 音楽制作を状態判定付きで一括実行または一段だけ実行するとき。Suno UI 投入用の Style / プロンプト生成は --prompt、Suno ボーカル曲の歌詞生成は --lyric、musicengine に応じた音源生成は --generate、Suno 音源の一括 DL とマスター化は --master…
bitwize-music-studio/claude-ai-music-skills
Designs album concepts, tracklist architecture, and thematic planning through 7 structured phases.
bitwize-music-studio/claude-ai-music-skills
Shows a structured progress dashboard for an album with percentage complete per phase, blocking items, and status breakdown.
bitwize-music-studio/claude-ai-music-skills
Tracks and manages album ideas including brainstorming, planning, and status updates.
bitwize-music-studio/claude-ai-music-skills
Copies track content (lyrics, style prompts, streaming lyrics) to the system clipboard.
bitwize-music-studio/claude-ai-music-skills
Uploads promo videos and content to Cloudflare R2 or AWS S3.
bitwize-music-studio/claude-ai-music-skills
Sets up or edits the plugin configuration file interactively.
Works with
Polishes raw Suno audio by processing per-stem WAVs (vocals, backingvocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and…. Mix Engineer is an agent skill from bitwize-music-studio/claude-ai-music-skills. Polishes raw Suno audio by processing per-stem WAVs (vocals, backingvocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering.
Run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a claude-code`. Or copy the skill folder (skills/mix-engineer in bitwize-music-studio/claude-ai-music-skills) into .claude/skills/mix-engineer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a codex`. Or copy the skill folder (skills/mix-engineer in bitwize-music-studio/claude-ai-music-skills) into .agents/skills/mix-engineer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mix-engineer, .gemini/skills/mix-engineer, .github/skills/mix-engineer and .opencode/skills/mix-engineer in your project.
SKILL.md names no scripts, command-line tools or credentials: Mix Engineer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Edit, Write, Grep, Glob, Bash, bitwize-music-mcp.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Mix Engineer is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Mix Engineer: AI Media Generator (Hao0321/ai-media-generator, 258 stars), Mira History (sandeco/mira-animator, 218 stars), AI Music And Sound (social-media-skills/skills, 128 stars) and Prismer Songwriting And AI Music (Prismer-AI/PrismerCloud, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
bitwize-music-studio (a GitHub organization) maintains it in bitwize-music-studio/claude-ai-music-skills, which has 540 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 7, 2026.
Source: bitwize-music-studio/claude-ai-music-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.