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College Data Analysis

Community
hezkvectory
college-data-analysis

把数据分析学习从工具教程变成业务问题、数据清洗、可视化、结论和报告表达。核心不是再推荐一堆资料，而是让用户今天能完成一个可检查的小成果。 Workflow: college_data_analysis.run.

Overview

Publisherhezkvectory
Repositoryhermes-edu-skills
Skill namecollege-data-analysis
Stars
127
Forks
58
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the College Data Analysis 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/hezkvectory/hermes-edu-skills/tree/main/skills/career-learning/college-data-analysis
  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/hezkvectory/hermes-edu-skills.git /tmp/hermes-edu-skills
mkdir -p .claude/skills
cp -r /tmp/hermes-edu-skills/skills/career-learning/college-data-analysis .claude/skills/college-data-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable College Data Analysis 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 College Data Analysis 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 College Data Analysis 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.

数据分析 Skill

把数据分析学习从工具教程变成业务问题、数据清洗、可视化、结论和报告表达。核心不是再推荐一堆资料，而是让用户今天能完成一个可检查的小成果。

这个 Skill 解决什么问题 / Problem

把数据分析学习从工具教程变成业务问题、数据清洗、可视化、结论和报告表达。核心不是再推荐一堆资料，而是让用户今天能完成一个可检查的小成果。

最适合 / Best For

  • 学习 Excel/Python/SQL 数据分析
  • 想做作品集项目
  • 需要把分析结果讲清楚
  • 业务同学提升数据思维

不适合 / Not For

  • 伪造数据或操纵结论
  • 只追求图表好看不回答问题
  • 处理隐私数据而不脱敏

使用前请准备 / Inputs

  • 分析目标
  • 数据字段或样例
  • 工具偏好
  • 希望输出的报告形式
  • 可选：业务背景和受众

推荐工作流 / Recommended Workflow

  • 先把问题改写成可分析指标。
  • 检查数据字段和缺失风险。
  • 设计清洗、探索、图表和结论。
  • 最后生成面向受众的报告结构。

输出格式 / Output Format

  • 业务问题
  • 指标设计
  • 数据清洗清单
  • 分析步骤
  • 图表建议
  • 结论表达

质量检查 / Quality Checks

  • 结论必须回到问题
  • 不能编造数据
  • 要提示隐私脱敏
  • 图表要服务判断而不是装饰

没有平台工具时 / Standalone Fallback

  • 没有真实数据时，用模拟字段演示流程。
  • 没有工具环境时，输出 SQL/Python/表格思路。

示例提示 / Example Prompts

  • 我想做一个销售数据分析作品集，请帮我设计项目和报告。
  • 这张表有这些字段，帮我找可以分析的问题。

适用场景 / When To Use

当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时，可以使用这个 Skill。

最适合的场景：

  • 职业技能

适用角色：

  • 学习者

调用信号 / Invocation Signals

意图：

  • college_data_analysis
  • career_learning
  • 职业技能

示例表达：

  • 开始数据分析 Skill
  • 帮我做职业技能
  • 根据当前上下文执行数据分析 Skill

公开 Skill 契约 / Public Skill Contract

  • Workflow: college_data_analysis.run
  • Category: career-learning
  • Stages: college, adult
  • Subjects: 计算机
  • Abilities: 数据分析
  • Quality Tier: curated
  • Standalone Support: needs_user_input
  • Public Release: recommended
  • Requires Tools: context.load, entitlement.check, workflow.create, report.aggregate_metrics, memory.write
  • Requires Data: 分析目标, 数据字段或样例, 工具偏好, 希望输出的报告形式, 可选：业务背景和受众
  • Export Mode: installable
  • Release Channel: recommended

成熟度备注：

  • 已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。

参数化使用 / Parameters

这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。

  • Grades: 大学, 考研
  • Semesters: 模块, 模块
  • Scenarios: 职业技能
  • Difficulties: 基础, 标准, 提高
  • Parameterized Dimensions: grade, semester, unit, lesson, knowledgePointCodes, scenario, difficulty

独立 Hermes 使用方式 / Standalone Hermes Usage

这个 Skill 可以通过 Hermes 的 skills.external_dirs 作为外部 Skill 加载。

如果你有自己的工具、记忆、课程数据或 workflow runner，可以把它们与本 Skill 组合使用。如果没有外部工具，也可以直接使用上面的说明来引导对话，生成有用的学习或教学反馈。

Frequently asked questions

What does the College Data Analysis AI skill do?

把数据分析学习从工具教程变成业务问题、数据清洗、可视化、结论和报告表达。核心不是再推荐一堆资料，而是让用户今天能完成一个可检查的小成果。 Workflow: college_data_analysis.run.

Why use College Data Analysis on TypingMind?

Because you install it once and use it with any model. College Data Analysis 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 College Data Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hezkvectory/hermes-edu-skills/tree/main/skills/career-learning/college-data-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use College Data Analysis?

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 College Data Analysis?

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

Is the College Data Analysis AI skill free?

Yes. It is published on GitHub by hezkvectory under the MIT license. 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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