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Data Analysis Skill

Community
podo
data-analysis-skill

Multi-expert parallel analysis workflow that selects domain expert subagents to analyze datasets in parallel, synthesizes findings into interactive HTML reports with charts, and exports to PowerPoint on request. Requires Python packages: pandas, openpyxl, tabulate, chardet.

Overview

Publisherpodo
Repositorydesign-agent-skills
Skill namedata-analysis-skill
Stars
27
Forks
3
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Data Analysis Skill 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/podo/design-agent-skills/tree/main/skills/data-analysis-skill
  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/podo/design-agent-skills.git /tmp/design-agent-skills
mkdir -p .claude/skills
cp -r /tmp/design-agent-skills/skills/data-analysis-skill .claude/skills/data-analysis-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Data Analysis Skill 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 Analysis Skill 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 Analysis Skill 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-analysis-skill

Catalogue stub — full skill: dongzhang84/data-analysis-skill

Decision tree

  1. Is the full skill already installed? Upstream names this skill data-analysis-pro, so it installs next to this pointer (the pointer is not replaced).

    • Global: f=~/.agents/skills/data-analysis-pro/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • Project: f=.agents/skills/data-analysis-pro/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • installed → the skill is installed as data-analysis-pro, invoke it and proceed
    • pointer → go to step 2

  2. Detect scope, then install:

    bash
    [ -e ~/.agents/skills/data-analysis-skill ] && echo "global" || echo "project"

    Global:

    bash
    npx skills add dongzhang84/data-analysis-skill --skill data-analysis-pro -g -y

    Project:

    bash
    npx skills add dongzhang84/data-analysis-skill --skill data-analysis-pro -y

    Claude Code: send a command as a chat message starting with ! to run it without leaving the conversation.

Heads-up

  • Requires: Python 3.8+ with pandas, openpyxl, tabulate and chardet (the bundled scripts auto-install missing packages with pip on first run)
  • License: MIT

Invoke after install

  • Skill name: data-analysis-pro
  • Trigger phrases: "data analysis skill", "parallel data analysis", "dongzhang84", "data HTML report", "data to PowerPoint"

What it does

End-to-end data analysis assistant for Excel/CSV analysis, business-metrics review, ROI calculation, formula writing, and data visualization. For deeper questions it runs a multi-expert analysis: it selects a panel of domain-expert roles, runs each as a parallel subagent so every expert analyses the dataset from a distinct angle, and synthesizes the results into a single interactive HTML report with embedded charts. PowerPoint export (HTML to PPTX) is available when the user asks for slides. Needs a Python environment with pandas, openpyxl, tabulate, and chardet; the bundled scripts install missing packages on first run.

When NOT to use

  • Single-chart generation — use d3js-skill, claud3 or data-viz-agent instead
  • Real-time streaming data dashboards
  • When Python dependencies cannot be installed in the environment

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 Data Analysis Skill AI skill do?

Multi-expert parallel analysis workflow that selects domain expert subagents to analyze datasets in parallel, synthesizes findings into interactive HTML reports with charts, and exports to PowerPoint on request. Requires Python packages: pandas, openpyxl, tabulate, chardet.

Why use Data Analysis Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/podo/design-agent-skills/tree/main/skills/data-analysis-skill. 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 Data Analysis Skill?

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 Analysis Skill?

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

Is the Data Analysis Skill AI skill free?

Yes. It is published on GitHub by podo 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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