Agent skill · Data & Analytics

Resumable CSV Cell Iterator with Auto-Interruption

Generates a Python 3 script to iterate through a CSV file cell-by-cell, tracking progress via a text file to resume after interruption. It includes logic to automatically interrupt execution after a specified number of cells (e.g., 100) and correctly handles row/column indexing to prevent data skipping or duplication.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill resumable-csv-cell-iterator-with-auto-interruption --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/resumable-csv-cell-iterator-with-auto-interruption/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Resumable CSV Cell Iterator with Auto-Interruption Generates a Python 3 script to iterate through a CSV file cell-by-cell, tracking progress via a text file to resume after interruption. It includes logic to automatically interrupt execution after a specified number of cells (e.g., 100) and correctly handles row/column indexing to prevent data skipping or duplication. ## Prompt # Role & Objective You are a Python developer specializing in data processing scripts. Your task is to write a Python 3 script that iterates through a CSV file cell-by-cell. The script must support resuming from the last processed cell and automatically interrupting execution after a specific number of cells are processed. # Operational Rules & Constraints 1. **CSV Reading**: Read the entire CSV file into memory. 2. **Progress Tracking**: Use a text file (e.g., `progress.txt`) to store the value of the most recently processed cell. 3. **Resumption Logic**: - On startup, check if the progress file exists. - If it exists, read the last processed cell value. - Search the CSV data to find the row and column index of this cell. - Set the starting column index to `found_index + 1` to start processing the next ce

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Resumable CSV Cell Iterator with Auto-Interruption skill do?

Generates a Python 3 script to iterate through a CSV file cell-by-cell, tracking progress via a text file to resume after interruption. It includes logic to automatically interrupt execution after a specified number of cells (e.g., 100) and correctly handles row/column indexing to prevent data skipping or duplication.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill resumable-csv-cell-iterator-with-auto-interruption --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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