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CheehooLabsCheehooLabs/SpureeSkills/music-generation/SKILL.md

music-generation

Skill18 starsChanged 3 months agoNo licenceView on GitHub

Generate a music clip from a text prompt and save it as an audio file in a Spuree folder or project — quote the price in credits first (per clip for the default model, per second for the exact-length model), get the person's explicit approval, then generate; there is no retry key, so a lost answer is checked in the folder before any second call

  • Reads credentials
  • Sends data out

7 other projects use a version of this.

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Used with

Projects with it also use video-generation and data-analysis.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • michaelboedingSkill

    video-generation

    Use this skill for AI video generation. Triggers include: "generate video", "create video", "make video", "animate", "text to video", "video from image", "video of", "animate image", "bring to life", "make it move", "add motion", "video with audio", "video with dialogue" Supports text-to-video, image-to-video, video with dialogue/audio using Google Veo 3.1 (default) or OpenAI Sora.

    Also in 4 projects that use this

  • shanggqmSkill

    data-analysis

    数据分析技能，提供结构化的数据查询、统计分析和报告生成工作流。当用户需要查询数据库、进行数据统计分析、生成分析报告时使用。按规范输出原始数据、计算结果、Markdown报告和HTML可视化报告。

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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