Token导航 LogoToken导航

Agent Skill · 研究检索

setup-artist(布景艺术家)

setup-artist 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

setup-artist 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,447。

总安装 25,872周安装 1,083GitHub Stars 公开资料未说明下载 9,064核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:setup-artist(布景艺术家)
来源仓库:https://github.com/recoupable/setup-artist
仓库路径:skills/setup-artist
安装命令:
npx skills add https://github.com/recoupable/setup-artist --skill setup-artist
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/recoupable/setup-artist --skill setup-artist

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

完整的艺术家工作空间支架,包括目录、上下文文件、内存系统和环境设置。

创建标准化的文件夹结构,包括上下文、内存、歌曲、版本、内容、配置、库和应用程序目录,并为每个目录提供自述文件指南 初始化上下文文件(艺术家身份、观众见解、时代元数据)和区分永久、特定时代和会话级知识的范围内存系统 使用模板设置环境和服务配置文件,仅在真实信息可用时添加凭据和集成,而不是预先填充占位符 更新未安装的 RECOUP.md 标记文件 活跃 并生成带有设置清单和目录参考表的根自述文件

来源仓库内路径:skills/setup-artist

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/recoupable/setup-artist --skill setup-artist;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

setup-artist 怎么安装?

在终端执行 npx skills add https://github.com/recoupable/setup-artist --skill setup-artist。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

setup-artist 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

setup-artist 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

setup-artist 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

setup-artist 用的人多吗?

公开数据是累计安装 25,872 次,近一周安装 1,083 次,下载 9,064 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

setup-artist 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
setup-artist

布景艺术家 · 本页

25,872—接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Setup Artist

Scaffold a complete artist workspace so agents can start working immediately.

Prerequisites

  • The sandbox has already been set up (see setup-sandbox skill)
  • An artist folder exists at orgs/{org}/artists/{artist-slug}/ with a RECOUP.md marker file
  • The RECOUP.md file contains the artist's name, slug, and Recoup ID (created by setup-sandbox)

Folder Structure

{artist-slug}/
├── RECOUP.md
├── README.md
├── .env.example
├── .env
├── context/
│   ├── artist.md
│   ├── audience.md
│   ├── era.json
│   ├── tasks.md
│   └── images/
│       └── README.md
├── memory/
│   ├── README.md
│   └── MEMORY.md
├── songs/
│   └── README.md
├── releases/
│   └── README.md
├── content/
│   ├── README.md
│   ├── images/
│   └── videos/
├── config/
│   ├── README.md
│   └── SERVICES.md
├── library/
│   └── README.md
└── apps/
    └── README.md

Steps

Step 1: Read RECOUP.md and create the directory structure

  1. Navigate to the artist folder and read RECOUP.md to get the artist's name, slug, and ID:
cd orgs/{org}/artists/{artist-slug}
cat RECOUP.md
  1. Create the directory structure:
mkdir -p {context/images,memory,songs,releases,content/images,content/videos,config,library,apps}

Step 2: Update RECOUP.md

Update the status field from not-setup to active and replace the body with a brief description:

---
artistName: {Artist Name}
artistSlug: {artist-slug}
artistId: {uuid-from-recoupable}
status: active
---

# {Artist Name}

Connects this workspace to the Recoupable platform. See `README.md` for the full directory guide and setup checklist.

Step 3: Create context files

Create each file from the templates in references/context-files.md. The essential files:

FileWhat to do
context/artist.mdFill with artist identity, brand, visual world, voice, tone. Ask the user for details or research the artist.
context/audience.mdFill with audience insights. Focus on WHY they listen, what they relate to, how they talk.
context/era.jsonSet the current release, songs, phase, and career stage.
context/tasks.mdLeave blank — the user will add tasks as they come up.
context/images/README.mdCreate with a note explaining this holds visual references like face guides.

Step 4: Create memory system

Create two files:

  • memory/README.md — Full instructions for agents on how to use the memory system, including the scope concept. See references/memory-system.md.
  • memory/MEMORY.md — Nearly empty starting point with frontmatter and guidelines comment (including scope rules).

The memory system uses three scopes to prevent knowledge bloat:

  • permanent — true regardless of era (goes in MEMORY.md)
  • era — true for the current release cycle (goes in MEMORY.md, tagged with era)
  • session — about a specific piece of content or task (goes in log/ only, never MEMORY.md)

Agents should ask the user about scope before saving feedback to long-term memory.

Step 5: Create services and environment files

Services are tracked in config/, not pre-filled at setup. Create:

FileWhat to do
config/SERVICES.mdInstructions for agents on how to add services as they're discovered. See references/services-guide.md.
.env.exampleReference list of common env var names (all commented out). See references/env-template.md.
.envEmpty file with a header comment. Agents add credentials here as services are connected.

Do NOT pre-fill service entries. Services are added when the agent has real information — a handle, an API key, a confirmed account. The old approach of creating a massive JSON file with every possible service set to not-setup creates noise, not value.

Step 6: Create README files for remaining directories

Each directory needs a README.md explaining its purpose. See references/directory-readmes.md for templates.

DirectoryREADME explains...
songs/Song folder format, naming conventions, what files to add
releases/Release folder format, RELEASE.md as source of truth
content/Generated content output — images and videos
config/Per-artist config, services, and shared automation tools
library/Deep-dive reference docs, research, reports
apps/Artist-specific applications (not shared tools)

Step 7: Create root README

Create README.md at the artist root with:

  • Artist name as heading
  • Directory structure table
  • Context files table
  • Config & services table
  • Setup checklist

See references/root-readme.md for the template.

Step 8: Fill in what you can

If you have information about the artist (from the user, from research, or from the Recoup platform):

  1. Fill context/artist.md with as much identity/brand info as possible
  2. Fill context/audience.md with audience insights
  3. Set context/era.json with the current release phase

Don't fabricate information. Leave placeholders for anything you don't know.

Step 9: Commit

git add -A
git commit -m "setup: create {artist-name} artist workspace"
git push origin main

Naming Conventions

  • Directories and slugs: lowercase-kebab-case (e.g. gatsby-grace, a-thing-called-love)
  • Audio files: Match the folder slug (e.g. songs/a-thing-called-love/a-thing-called-love.mp3)
  • Context files: Use the names exactly as specified — agents and shared tools expect them

Principles

  • Start lean. Only create what's needed. Agents and pipelines will create additional files (like content/videos/shortform/) as they run.
  • Placeholders over empty. Use {placeholder} syntax for unknown values — it's better than blank fields.
  • Don't pre-fill what you don't know. A file full of not-setup and null isn't a placeholder — it's clutter. Services, accounts, and configs should be added when they're real.
  • README everything. Every directory gets a README so agents know what belongs there.
  • Don't duplicate. Songs live in songs/, releases reference them by slug. Content goes in content/, not copied elsewhere.
  • Scope your memories. Not all knowledge lasts forever. Tag era-specific memories, keep session feedback in logs, and ask before promoting to long-term memory.

平台分布

Codex

38.29%
按下载量换算3,471

Claude

27.04%
按下载量换算2,451

Cursor

20.3%
按下载量换算1,840

Gemini CLI

9.24%
按下载量换算838

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills