Data Analysis

OrganizationPopular

fastclaw-ai

data-analysis

Analyze data, process CSV/JSON files, compute statistics, and create data visualizations. Use when the user asks about data processing, statistics, or analysis.

Overview

Publisher	fastclaw-ai
Repository	`fastclaw`
Skill name	`data-analysis`
Stars	1.4K
Forks	227
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by fastclaw-ai on GitHub. Read the source before you install it.

Installation

Install the Data Analysis 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/fastclaw-ai/fastclaw/tree/dev/skills/data-analysis
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/fastclaw-ai/fastclaw.git /tmp/fastclaw
mkdir -p .claude/skills
cp -r /tmp/fastclaw/skills/data-analysis .claude/skills/data-analysis

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

Use it in TypingMind

Enable 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 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 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.

Data Analysis Skill

Analyze and process data using Python in the sandbox.

Common Libraries

pandas: DataFrames, CSV/JSON/Excel processing
numpy: Numerical computing
matplotlib: Visualization (use Agg backend)

Install if needed: pip install pandas numpy matplotlib

Common Tasks

Read and analyze CSV

python
import pandas as pd
df = pd.read_csv('data.csv')
print(df.describe())
print(f"\nShape: {df.shape}")
print(f"\nColumns: {list(df.columns)}")
print(f"\nFirst 5 rows:\n{df.head()}")

Create visualization from data

python
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pandas as pd
import base64

df = pd.read_csv('data.csv')
df.plot(kind='bar', x='category', y='value', figsize=(10, 6))
plt.title('Data Overview')
plt.tight_layout()
plt.savefig('/tmp/chart.png', dpi=150)

with open('/tmp/chart.png', 'rb') as f:
    print(f'![chart](data:image/png;base64,{base64.b64encode(f.read()).decode()})')

JSON processing

python
import json
with open('data.json') as f:
    data = json.load(f)
# Process and analyze...

Guidelines

Always execute the analysis — don't just show code
Show key statistics: shape, dtypes, describe(), null counts
For large datasets, show head/tail and summary stats
Generate charts when it helps explain the data
Use base64 inline images for any visualizations

Frequently asked questions

What does the Data Analysis AI skill do?

Analyze data, process CSV/JSON files, compute statistics, and create data visualizations. Use when the user asks about data processing, statistics, or analysis.

Why use Data Analysis on TypingMind?

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

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

Which AI models can use 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 Data Analysis?

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

Is the Data Analysis AI skill free?

It is published on GitHub by fastclaw-ai. 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

Data Analysis Skill

Common Libraries

Common Tasks

Read and analyze CSV

Create visualization from data

JSON processing

Guidelines

Frequently asked questions

Related AI Skills

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