suno-music-creator by schwepps/skills
npx skills add https://github.com/schwepps/skills --skill suno-music-creator使用 Suno AI V5 和 Suno Studio 创作高质量音乐的专业工作流程。
| 主题 | 参考文件 |
|---|---|
| 按流派分类的风格提示词 | references/style-library.md |
| 按用途分类的 BPM 指南 | references/bpm-guide.md |
| 结构与元标签 | references/metatags.md |
| 项目模板 | references/project-types.md |
| 发行与权利 | references/distribution.md |
| 功能 |
|---|
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
| Pro ($10/月) |
|---|
| Premier ($30/月) |
|---|
| V5 模型 | ✅ | ✅ |
| 商业权利 | ✅ | ✅ |
| Suno Studio (DAW) | ❌ | ✅ |
| 每月点数 | 2,500 | 10,000 |
收集需求:
风格提示词公式:
[流派], [BPM] BPM, [情绪], [主要乐器], [人声类型], [制作风格]
负面提示 (V5): 直接添加排除项:
Upbeat pop, 120 BPM, no guitars, no harsh distortion, clean mix
歌词结构: 将元标签放在歌词字段中(比风格提示词更有效):
[段落标签]
[情绪/能量指示]
歌词内容(每行 6-12 个音节以获得最佳对齐效果)
按流派分类的经过测试的提示词,请查阅 references/style-library.md。结构标签和人声控制,请查阅 references/metatags.md。
Suno Studio 是一个生成式音频工作站 (GAW),结合了 DAW 编辑与 AI 生成。
| 功能 | 描述 |
|---|---|
| 多轨时间线 | 精确编排、分层、编辑 |
| 分轨分离 | 自动分离为人声、鼓、贝斯等 |
| 录制通道 | 比较多个生成的版本 |
| 复合 | 组合不同录制的最佳部分 |
| 替换段落 | 重新生成任何片段,带有平滑的交叉淡入淡出 |
| BPM/音高控制 | 按轨道调整速度和音高 |
| 录制音频 | 直接录制到时间线 |
| 采样到歌曲 | 上传短片段,扩展为完整作品 |
| MIDI 导出 | 导出以供外部 DAW 编辑 |
| 自动保存 | 项目自动保存 |
| 功能 | 优势 |
|---|---|
| 持久记忆 | 动机在 8 分钟内保持一致 |
| 负面提示 | 排除元素:"no vocals", "no guitars" |
| 更好的人声 | 自然的发音、真实的情感 |
| 更干净的混音 | 卓越的频率分离,减少"浑浊感" |
| 更快的生成 | 速度提升 10 倍 |
| 智能编排 | 自动构建主歌、副歌、桥段 |
| Hook | 创建可分享的短片段用于推广 |
发行详情,请参见 references/distribution.md。
每周安装量
345
代码仓库
GitHub 星标数
7
首次出现
Jan 23, 2026
安全审计
安装于
opencode312
gemini-cli303
codex300
github-copilot286
cursor276
kimi-cli264
Professional workflow for creating high-quality music with Suno AI V5 and Suno Studio.
| Topic | Reference File |
|---|---|
| Style prompts by genre | references/style-library.md |
| BPM guide by usage | references/bpm-guide.md |
| Structure & meta-tags | references/metatags.md |
| Project templates | references/project-types.md |
| Distribution & rights | references/distribution.md |
| Feature | Pro ($10/mo) | Premier ($30/mo) |
|---|---|---|
| V5 Model | ✅ | ✅ |
| Commercial rights | ✅ | ✅ |
| Suno Studio (DAW) | ❌ | ✅ |
| Credits/month | 2,500 | 10,000 |
Gather requirements:
Style prompt formula:
[Genre], [BPM] BPM, [Mood], [Key instruments], [Vocal type], [Production style]
Negative prompting (V5): Add exclusions directly:
Upbeat pop, 120 BPM, no guitars, no harsh distortion, clean mix
Lyrics structure: Place meta-tags in lyrics field (more effective than style prompt):
[Section Tag]
[Mood/Energy instruction]
Lyrics content (6-12 syllables per line for best alignment)
Consult references/style-library.md for tested prompts by genre. Consult references/metatags.md for structure tags and vocal controls.
Suno Studio is a Generative Audio Workstation (GAW) combining DAW editing with AI generation.
| Feature | Description |
|---|---|
| Multi-track Timeline | Arrange, layer, edit with precision |
| Stem Separation | Auto-split into vocals, drums, bass, etc. |
| Take Lanes | Compare multiple generated versions |
| Comping | Combine best parts from different takes |
| Replace Section | Regenerate any slice with smooth crossfades |
| BPM/Pitch Control | Adjust tempo and pitch per track |
| Record Audio | Record directly into timeline |
| Sample to Song | Upload short clips, expand to full compositions |
| MIDI Export | Export for external DAW editing |
| Auto-save | Projects save automatically |
| Feature | Benefit |
|---|---|
| Persistent Memory | Motifs stay consistent across 8 minutes |
| Negative Prompting | Exclude elements: "no vocals", "no guitars" |
| Better Vocals | Natural pronunciation, authentic emotion |
| Cleaner Mix | Superior frequency separation, less "mud" |
| Faster Generation | 10x speed improvement |
| Intelligent Arrangement | Auto-structures verses, choruses, bridges |
| Hoooks | Create shareable short clips for promotion |
For distribution details, see references/distribution.md.
Weekly Installs
345
Repository
GitHub Stars
7
First Seen
Jan 23, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
opencode312
gemini-cli303
codex300
github-copilot286
cursor276
kimi-cli264
超能力技能使用指南:AI助手技能调用优先级与工作流程详解
41,800 周安装