💬
AI EngineeringPython

Xiaoyue Companion

by anbeime

Xiaoyue Companion is an AI Engineering skill for Claude Code, published by anbeime in skill.

5.3K stars519 forkson anbeime/skillAdded 2026/08/16+3% in starsRepository updated 2026/08/16
claude-skillsfinance-skillgemini-skillshermes-skilloffice-skillopenclaw-skillsskillskill-mdskills
Install in seconds
Install Xiaoyue Companion
Copy Xiaoyue Companion into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/anbeime/skill ~/.claude/skills/skill

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/anbeime/skill.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
SKILL.md in anbeime/skill
Installs to
~/.claude/skills/skill
Collection
One of 23 skills cataloged from this repository
Category
AI Engineering2451 skills

What Xiaoyue Companion does

Xiaoyue Companion generates warm conversational responses via the Zhipu AI API and optionally sends static images. Use it when users express tiredness, need encouragement, or want a friendly check-in during tasks.

Xiaoyue Companion is cataloged under AI Engineering on DirSkills. Xiaoyue Companion comes from a repository tagged claude-skills, finance-skill, gemini-skills, hermes-skill and office-skill.

Documentation

README

小跃虚拟伴侣 Skill

为 OpenClaw 添加温暖的对话陪伴能力,让 AI 助手在执行任务时主动关心用户。

何时使用

  • 用户说"有点累"、"好累"、"疲惫"
  • 用户在等待任务完成时
  • 用户询问"在吗"、"你好"
  • 用户需要鼓励或陪伴时
  • 用户说"发张照片"、"你在干嘛"

快速参考

必需的环境变量

ZHIPU_API_KEY=your_zhipu_api_key  # 从 https://open.bigmodel.cn 获取

工作流程

  1. 接收用户消息
  2. 调用 glm-4.7-flash 生成温暖回应
  3. (可选)发送静态图片
  4. 通过 OpenClaw 发送消息

使用说明

步骤1:生成对话回应

# 基础对话
node scripts/xiaoyue-chat.js "用户消息" "当前场景"

# 示例
node scripts/xiaoyue-chat.js "有点累了" "work-tired"

步骤2:(可选)发送图片

# 发送静态图片
openclaw message send \
  --action send \
  --channel "<目标频道>" \
  --message "<消息文本>" \
  --media "file://$(pwd)/assets/tired-rest.jpg"

场景类型

工作场景

  • work-start: 任务开始
  • work-progress: 任务进行中
  • work-tired: 工作疲惫
  • work-done: 任务完成

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Xiaoyue Companion

  • What else does anbeime publish alongside Xiaoyue Companion?

    Xiaoyue Companion is one of 23 skills that DirSkills catalogs from anbeime/skill, the repository it ships in. Its siblings there include Agent Team, AgentKit Multimedia Shopping and Antinet Doc Parse. Each one is a separate skill with its own page in this directory, installs the same way Xiaoyue Companion does, and is maintained by anbeime in that same repository. The rest of the collection is listed on the anbeime/skill page.

  • How does Xiaoyue Companion compare to other AI Engineering skills?

    Xiaoyue Companion ranks #492 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Xiaoyue Companion against them. Open each page to compare what they document and how they install.

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