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sayhellosayhello 搜索

Agent Skill

sayhello 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。

总安装

737

周安装

31

GitHub Stars

公开资料未说明

下载量

258
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:sayhello(sayhello 搜索)
来源仓库:https://github.com/mojito-llm/freeship-skills
仓库路径:skills/sayhello
安装命令:
npx skills add mojito-llm/freeship-skills --skill "sayhello"
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。

AgentSkills.tonpx skills
npx skills add mojito-llm/freeship-skills --skill "sayhello"

简介

sayhello 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。

SKILL.md

name
sayhello
description
Generate friendly greetings in multiple languages and styles. Use this skill when users request greetings, welcome messages, or multilingual hello messages for various contexts (formal, casual, cultural).

Say Hello Skill

A skill that helps generate friendly, contextual greetings in multiple languages and styles.

Overview

Generate personalized greetings for various contexts including:

  • Multilingual greetings (English, Chinese, Japanese, Spanish, French, etc.)
  • Different formality levels (formal, casual, professional)
  • Cultural contexts (business meetings, social gatherings, emails)
  • Time-based greetings (morning, afternoon, evening)
  • Custom greeting templates

Quick Start

Basic Usage

Generate a simple greeting:

"Say hello in Chinese"
→ 你好!(Nǐ hǎo!)

Generate a formal greeting:

"Generate a formal business greeting for a Japanese client"
→ おはようございます。お会いできて光栄です。(Ohayō gozaimasu. O-ai dekite kōei desu.)

Generate time-based greeting:

"Create a good morning greeting"
→ Good morning! Hope you have a wonderful day ahead!

Core Capabilities

1. Multilingual Greetings

Generate greetings in various languages with proper pronunciation guides:

Supported Languages:

  • English
  • 中文 (Chinese - Simplified & Traditional)
  • 日本語 (Japanese)
  • Español (Spanish)
  • Français (French)
  • Deutsch (German)
  • 한국어 (Korean)
  • Italiano (Italian)
  • Português (Portuguese)
  • Русский (Russian)

Example:

"Say hello in Spanish with pronunciation"
→ ¡Hola! (OH-lah)
   ¡Buenos días! (BWEH-nos DEE-ahs)

2. Context-Aware Greetings

Generate greetings appropriate for different contexts:

Business Context:

"Professional greeting for email"
→ Dear [Name],
   I hope this message finds you well.

Casual Context:

"Casual greeting for friends"
→ Hey there! What's up?

Cultural Events:

"Chinese New Year greeting"
→ 新年快乐!恭喜发财!
   (Xīn nián kuài lè! Gōng xǐ fā cái!)
   Happy New Year! Wishing you prosperity!

3. Time-Based Greetings

Generate appropriate greetings based on time of day:

  • Morning: "Good morning", "早上好"
  • Afternoon: "Good afternoon", "下午好"
  • Evening: "Good evening", "晚上好"
  • Night: "Good night", "晚安"

4. Custom Templates

Use the greeting templates in assets/ for consistent, branded greetings:

Email Templates:

  • Formal business introduction
  • Casual team communication
  • Client outreach
  • Meeting invitations

Social Templates:

  • Birthday greetings
  • Holiday greetings
  • Welcome messages
  • Thank you notes

Using Scripts

greet.py

Generate greetings programmatically using the included Python script:

python scripts/greet.py --language chinese --style formal

Parameters:

  • --language: Target language (default: english)
  • --style: Formality level (formal/casual/professional)
  • --context: Specific context (business/social/email)
  • --time: Time of day (morning/afternoon/evening/night)

Example:

# Generate formal Chinese business greeting
python scripts/greet.py --language chinese --style formal --context business

# Generate casual morning greeting
python scripts/greet.py --style casual --time morning

Reference Materials

For comprehensive greeting conventions across cultures, pronunciation guides, and cultural etiquette, refer to:

  • reference/greetings.md - Complete greeting reference for all supported languages
  • reference/cultural_contexts.md - Cultural considerations and etiquette guidelines

Best Practices

  1. Consider Cultural Context: Always consider the recipient's cultural background when choosing greetings
  2. Match Formality Level: Ensure the greeting matches the relationship and context
  3. Include Pronunciation: When using non-Latin scripts, include pronunciation guides
  4. Time Awareness: Use time-appropriate greetings when context is known
  5. Personalization: Customize greetings with names and specific details when available

Examples

Scenario 1: International Team Email

Request: "Greeting for international team email"

Response:
Hello Team / 大家好 / みなさん、こんにちは

I hope this message finds you all well. I wanted to reach out regarding...

Scenario 2: Formal Business Introduction

Request: "Formal greeting for new Chinese business partner"

Response:
尊敬的 [Partner Name],

非常荣幸能与贵公司合作。期待我们之间建立长期互利的合作关系。

(Zūn jìng de [Partner Name],
Fēi cháng róng xìng néng yǔ guì gōng sī hé zuò. Qī dài wǒ men zhī jiān jiàn lì cháng qī hù lì de hé zuò guān xì.)

Dear [Partner Name],
It is a great honor to collaborate with your esteemed company. We look forward to establishing a long-term mutually beneficial partnership.

Scenario 3: Casual Social Greeting

Request: "Fun greeting for team Slack channel"

Response:
Hey everyone! 👋
Hope you're all having an awesome day! ☀️

Advanced Features

Greeting Chains

Generate greeting sequences for multi-step interactions:

  1. Initial greeting
  2. Introduction
  3. Purpose statement
  4. Closing

Cultural Adaptations

Automatically adapt greetings based on:

  • Regional dialects
  • Cultural holidays
  • Business customs
  • Social norms

A/B Testing Support

Generate multiple greeting variations for testing effectiveness in different contexts.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

30.7%
按下载量换算79

OpenCode

23.78%
按下载量换算61

Antigravity

17.79%
按下载量换算46

Gemini CLI

12.09%
按下载量换算31

windsurf

7.55%
按下载量换算19

Codex

3.63%
按下载量换算9

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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