code-execution

What it does

This skill allows an AI agent to execute Python code locally, enabling the performance of bulk operations and complex workflows that would otherwise be costly or impractical using standard API calls. It leverages local execution to significantly reduce token usage (90%+) when handling large volumes of files or iterative processes. This capability is particularly useful for tasks involving multiple steps and data manipulation.

When to use it

• Bulk File Processing: When needing to process 10 or more files, such as renaming, converting, or analyzing a directory of images or documents.
• Iterative Workflows: For workflows that require repeated API calls with adjustments based on previous results (e.g., iteratively refining search queries).
• Complex Data Manipulation: When needing to perform intricate data transformations or calculations beyond what can be easily expressed in a single prompt.
• Cost Optimization: To minimize token consumption for tasks involving large datasets or repetitive operations.

Key capabilities

• Local Python code execution
• Marketplace API access
• 90%+ token savings on bulk operations
• Automatic activation for workflows with 10+ files

Example prompts

• "Process these 20 image files and resize them to 500x500 pixels."
• "Iteratively search the database, increasing the query radius each time until a match is found."
• "Convert this CSV file into JSON format and then upload it to S3."

Tips & gotchas

The skill automatically activates when bulk operations are detected. Ensure that any necessary Python libraries for your code are installed locally within the agent's environment.