How are API rate limits handled during large batch jobs?

The script includes built-in error handling that manages API limits automatically using exponential backoff to ensure that long-running batch processes complete successfully.

How does the smart routing feature work?

The skill evaluates the word count of each text entry; if it exceeds a configurable threshold (default 500 words), it performs a summarization, otherwise it performs a translation.

Does this skill support different AI models?

Yes, you can configure the specific model (e.g., gpt-4o, gpt-4o-mini) and adjust temperature settings to balance between processing speed, cost, and creativity.

Can I process data directly from a CSV file?

Yes, you can use the command-line interface to specify an input CSV file, the target text column, and the desired output path for the results.

AI Text Summarizer & Processor

Name: AI Text Summarizer & Processor
Author: zhenxiay

byzhenxiay

0•

数据科学与机器学习

Automates large-scale text summarization and translation using intelligent length-based routing and asynchronous processing.

The Text Summarizer skill provides an advanced framework for processing high-volume text datasets from CSV files or pandas DataFrames. By utilizing intelligent routing, the system automatically decides whether to summarize or translate content based on user-defined length thresholds. Built for performance, it leverages asynchronous batch processing to execute concurrent API calls, making it an essential tool for data scientists and developers needing to transform, condense, or translate massive amounts of textual data efficiently while maintaining granular control over model parameters and temperature settings.

主要功能

01High-performance asynchronous batch processing for large datasets

02Fully configurable model selection and temperature parameters

03Robust error handling with automatic exponential backoff for API reliability

04Intelligent length-based routing for automatic summarization or translation

05Seamless integration with CSV files and pandas DataFrames

060 GitHub stars

使用场景

01Preprocessing large text corpuses for data science pipelines or machine learning training

02Automating multi-lingual content workflows by translating short text and summarizing long-form documents

03Batch processing massive datasets of customer reviews or feedback for rapid insights

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhenxiay/langgraph_dev_server text-summarizer

For use in Claude.ai and ChatGPT

主要功能

01High-performance asynchronous batch processing for large datasets

02Fully configurable model selection and temperature parameters

03Robust error handling with automatic exponential backoff for API reliability

04Intelligent length-based routing for automatic summarization or translation

05Seamless integration with CSV files and pandas DataFrames

060 GitHub stars

使用场景

01Preprocessing large text corpuses for data science pipelines or machine learning training

02Automating multi-lingual content workflows by translating short text and summarizing long-form documents

03Batch processing massive datasets of customer reviews or feedback for rapid insights