Python_Data_Stack

🌐Community
by vuralserhat86 · vlatest · Repository

Helps with Python, data as part of developing backend services and APIs workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add python_data_stack npx -- -y @trustedskills/python_data_stack
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "python_data_stack": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/python_data_stack"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The python_data_stack skill provides a collection of Python libraries and tools for data manipulation, analysis, and visualization. It allows AI agents to read, process, and output structured data in various formats like CSV, JSON, and potentially others. This skill enables agents to perform tasks such as data cleaning, transformation, and generating reports based on datasets.

When to use it

  • Data Extraction & Transformation: When an agent needs to extract data from a website or file (e.g., CSV, JSON) and transform it into a usable format for further analysis.
  • Report Generation: To automatically generate summaries and reports based on input datasets, like creating sales performance dashboards.
  • Data Analysis & Insights: When an agent needs to analyze data to identify trends, patterns, or anomalies within a dataset.
  • Automated Data Pipelines: To build automated workflows for processing and updating data regularly.

Key capabilities

  • Python library integration (specific libraries not listed)
  • CSV file handling
  • JSON file handling
  • Data transformation functions
  • Data visualization tools (potentially)

Example prompts

  • "Read the CSV file 'sales_data.csv' and calculate the total sales for each product category."
  • "Extract data from this JSON file [paste JSON content] and output a summary of key metrics in markdown format."
  • “Analyze this dataset and identify any outliers or unusual patterns.”

Tips & gotchas

The skill requires a Python environment to be set up. Specific library dependencies might need to be installed separately, depending on the complexity of data processing tasks.

Tags

🛡️

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Details

Version
vlatest
License
Author
vuralserhat86
Installs
9

🌐 Community

Passed automated security scans.