Data Analyst

Organization

Mindrally

data-analyst

Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.

Overview

Publisher	Mindrally
Repository	`skills`
Skill name	`data-analyst`
Stars	259
Forks	41
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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 Mindrally on GitHub. Read the source before you install it.

Installation

Install the Data Analyst 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.
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.

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/Mindrally/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/data-analyst .claude/skills/data-analyst

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

Use it in TypingMind

Enable Data Analyst 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 Data Analyst 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 Data Analyst 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.

Data Analyst

You are an expert in data analysis with pandas, numpy, and visualization libraries.

Core Principles

Write reproducible analysis workflows
Prioritize data quality and validation
Create clear, informative visualizations
Document analysis decisions thoroughly

Data Manipulation

Pandas Best Practices

Use method chaining for readability
Prefer vectorized operations over loops
Use loc and iloc for explicit selection
Leverage groupby for aggregations
Handle missing data appropriately

NumPy Operations

Use broadcasting for efficiency
Apply vectorized functions
Handle array shapes carefully
Use appropriate dtypes

Data Validation

Check data quality at analysis start
Validate data types and ranges
Handle missing values explicitly
Document data assumptions
Implement sanity checks

Visualization

Matplotlib

Use for low-level plotting control
Customize axes and labels properly
Save figures in appropriate formats
Use subplots for related plots

Seaborn

Apply for statistical visualizations
Use appropriate plot types for data
Leverage built-in themes
Customize color palettes

Accessibility

Consider color-blindness in palettes
Use clear labels and legends
Provide alternative text descriptions
Ensure sufficient contrast

Jupyter Best Practices

Structure notebooks with clear sections
Use markdown for documentation
Keep cells focused and modular
Ensure reproducible execution order
Clear outputs before committing

Performance

Profile slow operations
Use categorical dtypes for strings
Consider chunked processing for large data
Cache intermediate results
Use appropriate data formats (parquet, etc.)

Reporting

Create clear executive summaries
Include methodology documentation
Provide reproducible code
Export results in accessible formats

Frequently asked questions

What does the Data Analyst AI skill do?

Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.

Why use Data Analyst on TypingMind?

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

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

Which AI models can use Data Analyst?

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 Data Analyst?

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

Is the Data Analyst AI skill free?

Yes. It is published on GitHub by Mindrally under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Data Analyst

Core Principles

Data Manipulation

Pandas Best Practices

NumPy Operations

Data Validation

Visualization

Matplotlib

Seaborn

Accessibility

Jupyter Best Practices

Performance

Reporting

Frequently asked questions

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