batch

Apply a consistent change pattern across multiple files with verification.

Updated Mar 1, 2026

Search Tags:#automation #developer tools #productivity #refactoring #batch #code modification

Ready to run

npx skills add https://github.com/NUbivek/Searchbar3 --skill batch-nubivek

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: batch
Source: https://github.com/NUbivek/Searchbar3/tree/main/.codex/skills/batch
Command: npx skills add https://github.com/NUbivek/Searchbar3 --skill batch-nubivek

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines repetitive modifications by applying a single change pattern across numerous files in a coordinated manner, preventing manual errors and saving significant time.

Core Features & Use Cases

Batch Operations: Execute identical tasks on multiple files simultaneously.
Targeted Changes: Define a specific change pattern to be applied consistently.
Verification: Ensures that changes are applied correctly and that the codebase remains functional after the batch operation.
Use Case: Refactoring a specific function name across an entire project or updating a configuration parameter in dozens of files.

Quick Start

Use the batch skill to rename the function 'old_function' to 'new_function' across all Python files in the current directory.

Frequently Asked Questions about batch

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

FAQPage Schema

How do I apply a single code modification pattern across multiple files at once?▼

Batch operations apply a single code modification pattern across multiple files simultaneously, streamlining repetitive changes and preventing manual errors. This coordinated approach ensures consistent refactoring or configuration updates throughout your codebase.

What's the best way to automate large-scale function name refactoring in my project?▼

Large-scale refactoring is automated by executing batch operations that apply a consistent change pattern across numerous files. You define the target modification, visualize pending changes, and commit atomically to ensure the codebase remains functional.

When do I need to use batch processing for codebase updates?▼

Batch processing is needed when applying a specific change pattern, such as updating configuration parameters in dozens of files or renaming functions across an entire project, saving significant time and preventing manual errors.

How to verify codebase functionality after applying systematic modifications to multiple files?▼

Codebase functionality is verified after systematic modifications by requiring compilation and test verification following the batch operation. This ensures the atomic commit of changes maintains code integrity and prevents breaking existing functionality.

Can I visualize changes before executing a batch operation on my code?▼

Yes, batch operations require visualization of changes before execution. This allows you to review the specific change pattern applied consistently across enumerated targets, ensuring accurate modifications before performing an atomic commit.

What are the limitations of using batch operations for code modification?▼

Batch operations require explicit enumeration of targets, visualization of changes, and compilation or test verification to prevent errors. You should avoid using it when modifications lack a consistent change pattern or cannot be verified functionally.