Example En

Organization

aliyun

example-en

Monthly music-retail sales analysis (complete English example package): overall sales and channel structure performance, key-track target achievement diagnosis, with on-disk channel distribution and track achievement details, a text report, and a companion web report template. Suited for monthly business reviews of digital music retail.

Overview

Publisher	aliyun
Repository	`data-agent-skill`
Skill name	`example-en`
Stars	57
Forks	6
Bundled files	14
Links	Skill source Repository Homepage

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/aliyun/data-agent-skill/tree/main/data-agent-arcvis-skill/examples/example-en
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/aliyun/data-agent-skill/tree/main/data-agent-arcvis-skill/examples/example-en

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-en .claude/skills/example-en

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Example En 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 En 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 En 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.

Overview

This package is the complete English example package for arcvis-skill (Chinese counterpart: examples/example-zh/). It demonstrates the full shape of a qualified quest skill package (including report/ and a web report template package) and can be imitated as a whole.

A monthly business review answers three progressive questions: how did we sell this month (volume), who is strong or weak in the mix (channels), and how did we do against targets (track achievement). This skill distills that playbook into two analysis objectives — overall sales and channel performance → key-track target achievement diagnosis — plus monthly report deliverables whose numbers are physically same-sourced with the on-disk outputs via direct read.

When to Use

Monthly (or any reporting-month) business review of digital music retail;
Tracking channel-mix changes and diagnosing key-track target achievement;
Not applicable: single-track deep-dive attribution (a one-off ad-hoc analysis suffices; not worth distilling into a skill).

Prerequisites

Metrics (metrics/ is the single authority for calculation definitions; only listed here):

[METRIC-001] Monthly Sales Volume
[METRIC-002] Sales Target Achievement Rate
[METRIC-003] Sales MoM Growth Rate

Tables (field truth and semantic model in tables/):

track_sales_month: track monthly sales fact table (month × track × channel), the single source of truth for sales and revenue;
track_target_month: track monthly target table (month × track), targets cover the full catalog of listed tracks.

Package Structure

Path	Content
SKILL.md / approach.md	Top-level guide and metric calculation compendium
objectives/objective_1_overall_sales_and_channel_performance.md	Volume and channel-mix analysis
objectives/objective_2_key_track_target_diagnosis.md	Track target achievement diagnosis
metrics/METRIC-001.yaml ~ METRIC-003.yaml	Three metric definition manuals
tables/track_sales_month.yaml, track_target_month.yaml	Table manuals
report/text_report.md	Text report requirements (three chapters + material list)
report/web_report/monthly-sales-overview/	Web report template package (direct-reads the two on-disk details)

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 En AI skill do?

Why use Example En on TypingMind?

Because you install it once and use it with any model. Example En 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 En 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-en. 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 En?

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 En?

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

Is the Example En 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Overview

When to Use

Prerequisites

Package Structure

Bundled files

Frequently asked questions

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