text-summary-guide
Guide for AI agent to perform text summary task.
When & Why to Use This Skill
This Claude skill provides a structured framework and automated workflow for AI agents to perform high-efficiency text summarization. By leveraging batch processing and customizable parameters like summary length and specific column targeting, it enables the rapid distillation of large-scale text data into actionable insights.
Use Cases
- Large-scale Data Processing: Automatically summarize thousands of rows in a dataset (e.g., CSV or Excel) to extract core themes from customer feedback or survey responses.
- Knowledge Management: Streamline the creation of executive summaries for internal document repositories, making information retrieval faster and more effective.
- Content Optimization: Batch process long-form articles or reports to generate concise snippets for newsletters, social media, or internal briefings.
- Research Automation: Distill key findings from specific columns in academic or market research databases to accelerate the literature review process.
| name | text-summary-guide |
|---|---|
| description | Guide for AI agent to perform text summary task. |
Text Summary Skill Guide
Overview
This file is a guide for AI agent to perform text summary task.
When to use this skill
This skill is to be loaded when an AI agent is requested to perform text summary task.
Workflow
Ask user for necessary inputs:
- input_file_path
- nrows
- batch_size
- text_column
- length
- output_path
If user needs help for some of the input parameters, run following command to get help:
uv run src/workflow/run_workflow.py --helpRun following command to finish the requested task:
uv run src/workflow/run_workflow.py
Error handling
Script cannot be found: If the Agent gets this error, use powershellcommands to search for the script on the local machine.
Parameters missing or incorrect: If the Agent gets error regarding any missing or incorrect input parameters, repeat step 1 and confirm with user.