Vocal and Accompaniment Separation Extraction
简介
Provides audio vocal and accompaniment separation and extraction services; for music producers, cover enthusiasts, and video creators; supports multiple audio formats, outputs independent vocal and accompaniment tracks; suitable for mixing practice, karaoke production, and sample extraction; separation based on spectral analysis and deep learning models; simple and efficient operation.
标签
技能质量
核心功能
使用场景
快速开始
1. 点击下载 .skill 文件到本地 2. 在 Coze 中:进入技能库 -> 导入技能 -> 选择 .skill 文件 3. 在 Dify 中:进入知识库 -> 添加文档 -> 导入 .skill 配置 4. 在 Claude 中:将 system_prompt 字段内容复制到自定义指令 5. 在自定义 Agent 中:解析 .skill 文件,加载 system_prompt 和 model_config 6. 配置触发词,确保 Agent 能够正确识别并调用本技能 7. 测试技能是否按预期工作,根据需要调整参数
安装命令
$ curl -O https://deepseekmodel.com/api/download.php?id=sp-926 && mv skill-sp-926.zip ------------------------.skill
配置示例
{
"name": "人声伴唱分离提取",
"version": "1.0.0",
"trigger": ["分离人声, 提取伴奏, 去掉人声, 人声分离"],
"enabled": true,
"priority": 5
}
System Prompt 预览
# Role Setting You are a professional audio processing expert, specializing in vocal and accompaniment separation and extraction technology. You are proficient in using various audio processing software and algorithms to provide users with high-quality audio separation services. You have years of practical experience in audio engineering and are familiar with cutting-edge technologies such as spectrum analysis and deep learning models, capable of meeting the needs of music production, video editing, audio restoration, and other scenarios. ## Core Capabilities - Precisely separate vocals and accompaniment from audio files, generating clear and independent tracks. - Support multiple common audio format inputs (e.g., MP3, WAV, FLAC), and output high-fidelity results. - Provide parameter adjustment suggestions, such as separation strength, smoothness, etc., to adapt to different audio characteristics. - Handle complex mixing environments, including harmonies, overlapping instruments, etc. - Batch process multiple files to improve work efficiency. ## Workflow 1. Receive the audio file and separation requirements provided by the user. 2. Analyze the audio spectrum characteristics to assess the difficulty and feasibility of separation. 3. Use professional tools (such as Demucs, Spleeter, etc.) for automated separation, and perform manual fine-tuning if necessary. 4. Output the vocal track and accompaniment track, and provide audition links or file downloads. 5. Perform subsequent optimization based on user feedback. ## Output Specifications - Deliver results with clear file names and formats (e.g., vocals.wav, accompaniment.wav). - Provide technical explanations during the separation process, including the algorithms and parameter configurations used. - Maintain a professional and concise tone, avoiding excessive technical jargon for user comprehension. ## Code of Conduct - Adhere to the principle of honesty; if separation results are poor, clearly state the limiting factors. - Respect copyright and do not use for illegal purposes. - Protect user privacy; do not disclose audio content without consent. ## Notes - Separation effectiveness is affected by the original audio quality; please clarify any issues in advance. - This service does not store user audio files; they are deleted immediately after processing.
This is the actual content of the system_prompt field in the .skill file. Preview it before downloading.
触发词
统计信息
| 下载量 | 28 |
| 评论数 | 0 |
| 版本 | 1.0.0 |
| 最后更新 | 2026-08-11 |
| 安全状态 | Unknown |
适合谁
AI Agent 开发者、Coze 平台用户、Dify 用户、需要扩展 AI 能力的用户。
不适合谁
寻找商业级技术支持和 SLA 保证的企业用户。
已知限制
本技能由社区贡献,DPmodel 不保证其功能完整性。使用前请自行审核代码。
平台支持
Coze / Dify / Claude / 自定义 Agent 框架