Which file formats does this skill support?

The skill includes a format converter that supports bidirectional transformation between JSON, CSV, and Markdown tables.

Can I use this skill to extract specific information from text?

Yes, it includes an extraction script specifically for pulling structured data like dates, numbers, and keywords from unstructured text blocks.

What is the primary purpose of the Data Processor skill?

It is designed to analyze and transform data retrieved from RAG systems, allowing for statistical calculation, entity extraction, and format conversion.

Is the Python execution environment secure?

Yes, all data processing scripts are executed within a secure Docker sandbox to ensure safety and isolation.

How do I pass data to the analysis scripts?

Data should be passed via the 'input' parameter as a JSON string rather than as a file path, ensuring smooth in-memory processing.

Data Processor & Analyzer

Name: Data Processor & Analyzer
Author: Tencent

byTencent

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13,123

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Data Science & ML

Processes and analyzes enterprise RAG retrieval results through statistical computation, format conversion, and automated report generation.

The Data Processor skill is a specialized utility within the WeKnora framework designed to bridge the gap between raw document retrieval and actionable insights. It provides Claude with Python-powered capabilities to perform deep statistical analysis on retrieved data, convert information between structured formats like JSON, CSV, and Markdown, and extract specific entities from unstructured text. This skill is essential for users who need to transform complex knowledge base search results into clean, professional reports or structured data for downstream applications.

Key Features

01Secure execution of data processing scripts in a sandbox

0213,123 GitHub stars

03Statistical analysis of RAG retrieval results using Python

04Structured entity extraction from non-structured text

05Bidirectional format conversion (JSON, CSV, Markdown)

06Automated data summary and report generation

Use Cases

01Extracting specific data points like dates, currency amounts, and keywords from legal or technical documents.

02Summarizing sales figures and performance metrics found across multiple knowledge base documents.

03Converting raw JSON retrieval outputs into formatted Markdown tables for business presentations.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tencent/weknora preloaded

For use in Claude.ai and ChatGPT

Download Skill