Can I use this for Git version control?

Yes, the skill includes a dedicated Git API allowing Claude to check status, add files, and commit changes as part of an automated workflow.

When should I activate the code-execution skill?

It is best used when you need to process 10 or more files at once, perform complex multi-step workflows, or when you want to optimize for performance and cost.

What happens if the execution runtime is not installed?

You can quickly set it up by running the provided setup.sh script located in your local Claude plugins directory.

Is it safe to analyze large files with this skill?

Absolutely. The code analysis API is designed to return metadata only, ensuring that even massive files can be audited without overwhelming the AI's context.

How does this skill achieve 90% or more token savings?

Instead of sending the full content of every file to the LLM, the skill processes code locally via Python and only returns metadata or result summaries to Claude's context.

Efficient Code Execution

Name: Efficient Code Execution
Author: prof-ramos

byprof-ramos

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Productivity & Workflow

Executes Python code locally to perform bulk codebase operations and analysis with up to 99% token savings.

About

The Efficient Code Execution skill enables Claude to run specialized Python scripts directly on your local machine, drastically reducing context window usage during large-scale tasks. By leveraging a local execution runtime, it can process hundreds of files for refactoring, dependency mapping, or git management while returning only essential summaries and metadata to the LLM. This approach is specifically designed for high-performance workflows where traditional file-by-file processing would be too slow or token-intensive, making it an essential tool for managing large repositories.

Key Features

Integrated Git API for automated commits and status management
Batch refactoring tools for renaming and restructuring code
Metadata-only code analysis to minimize context window usage
Built-in filesystem utilities for precise code extraction and insertion
Local Python runtime for high-speed bulk file operations
1 GitHub stars

Use Cases

Performing mass refactoring or identifier renaming across 50+ files
Automated migration of utility functions between multiple modules
Auditing large codebases for complexity and dependency health

About

Key Features

Integrated Git API for automated commits and status management
Batch refactoring tools for renaming and restructuring code
Metadata-only code analysis to minimize context window usage
Built-in filesystem utilities for precise code extraction and insertion
Local Python runtime for high-speed bulk file operations
1 GitHub stars

Use Cases

Performing mass refactoring or identifier renaming across 50+ files
Automated migration of utility functions between multiple modules
Auditing large codebases for complexity and dependency health