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Example Zh

Organization
aliyun
example-zh

月度音乐零售销售分析(中文完整示例包):整体销量与渠道结构表现、重点曲目目标达成诊断, 产出渠道分布与曲目达成明细落盘、文字报告与配套网页报告模板。适用于 数字音乐零售业务的月度经营复盘。

Overview

Publisheraliyun
Repositorydata-agent-skill
Skill nameexample-zh
Stars
57
Forks
6
Bundled files
14
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aliyun on GitHub. Read the source before you install it.

Installation

Install the Example Zh AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aliyun/data-agent-skill/tree/main/data-agent-arcvis-skill/examples/example-zh
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aliyun/data-agent-skill.git /tmp/data-agent-skill
mkdir -p .claude/skills
cp -r /tmp/data-agent-skill/data-agent-arcvis-skill/examples/example-zh .claude/skills/example-zh
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Example Zh in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Example Zh on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Example Zh is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

概述

本包为 arcvis-skill 的完整中文示例包(英文对照版见 examples/example-en/),演示一个合格 quest 技能包的完整形态(含 report/ 与网页模板包),可整包模仿。

月度经营复盘要回答三个递进问题:这个月卖得怎么样(总量)、结构上谁强谁弱(渠道)、目标完成得怎么样(曲目达成)。本技能把这套打法沉淀为两个分析目标——整体销量与渠道表现 → 重点曲目达成诊断——并配套月度报告需求物,报告数字经直读与落盘产物物理同源。

适用场景

  • 月度(或任意报告月)数字音乐零售经营复盘;
  • 渠道结构变化跟踪与重点曲目目标达成诊断;
  • 不适用:单曲目专题归因(一次性临时分析即可,不值得沉淀为技能)。

前置依赖

指标(口径唯一权威源见 metrics/,此处仅列清单):

  • [METRIC-001] 当月销量
  • [METRIC-002] 销量达成率
  • [METRIC-003] 销量环比增长率

表(字段真理与语义模型见 tables/):

  • track_sales_month:曲目月度销量事实表(月 × 曲目 × 渠道),销量与收入的唯一事实源;
  • track_target_month:曲目月度目标表(月 × 曲目),目标覆盖全部上架曲目。

技能包结构说明

路径内容
SKILL.md / approach.md总纲导览与指标计算总纲
objectives/objective_1_整体销量与渠道表现.md总量与渠道结构分析
objectives/objective_2_重点曲目达成诊断.md曲目目标达成诊断
metrics/METRIC-001.yaml ~ METRIC-003.yaml三个指标口径手册
tables/track_sales_month.yaml、track_target_month.yaml表手册
report/text_report.md文字报告要求(三章结构 + 素材清单)
report/web_report/monthly-sales-overview/网页报告模板包(直读两张落盘明细)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Example Zh AI skill do?

月度音乐零售销售分析(中文完整示例包):整体销量与渠道结构表现、重点曲目目标达成诊断, 产出渠道分布与曲目达成明细落盘、文字报告与配套网页报告模板。适用于 数字音乐零售业务的月度经营复盘。

Why use Example Zh on TypingMind?

Because you install it once and use it with any model. Example Zh is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Example Zh in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aliyun/data-agent-skill/tree/main/data-agent-arcvis-skill/examples/example-zh. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Example Zh?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Example Zh?

As many as you like. As long as a model supports skills, you can use Example Zh with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Example Zh AI skill free?

It is published on GitHub by aliyun. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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