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data-processor

Analyze and transform JSON, CSV, and text data using Python scripts.

7|Updated Jan 27, 2026
Search Tags:#data#JSON#process#analyze#CSV#transform
One-click install
npx skills add https://github.com/ShihaoZhou-NEU/web3-eip-playground --skill data-processor-shihaozhou-neu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-processor
Source: https://github.com/ShihaoZhou-NEU/web3-eip-playground/tree/main/spoon-core/examples/skills/data-processor
Command: npx skills add https://github.com/ShihaoZhou-NEU/web3-eip-playground --skill data-processor-shihaozhou-neu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the routine tasks of analyzing and transforming data. It combines Python-powered analysis with shell-based setup to streamline file processing and data reshaping.

Core Features & Use Cases

  • Analyze input data to generate statistics and structure insights.
  • Transform data between JSON, CSV, and plain text formats.
  • Real-world use cases include data ingestion pipelines, report preparation, and quick format conversions.

Quick Start

Provide data via stdin to be analyzed or transformed. Example tasks include: analyze a JSON payload to obtain stats, convert a CSV snippet to JSON, or process a plain text block to JSON with line metadata.

Frequently Asked Questions about data-processor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate data analysis and format transformation for JSON and CSV?▼

You can automate data analysis and format transformation by providing JSON or CSV input via stdin to execute Python scripts that generate statistics and reshape data between formats.

Can I convert a CSV snippet to JSON without installing external Python libraries?▼

Yes, you can convert CSV snippets to JSON without external libraries because the data transformation executes using only the Python standard library and built-in scripts.

What is the best way to process plain text into JSON with line metadata?▼

The best way to process plain text into JSON with line metadata is to pass the text block through the transformation script, which parses the input and appends structural line metadata.

Does this data processing approach support generating statistics from JSON payloads?▼

Yes, this data processing approach supports generating statistics from JSON payloads by analyzing the input data structure and returning statistical insights via the analysis script.

What are the limitations of using Python standard library scripts for data ingestion?▼

The limitation of using Python standard library scripts for data ingestion is that complex transformations requiring specialized external libraries are not supported, restricting processing to basic JSON and CSV operations.

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