Planning With Files

What it does

This skill enables AI agents to plan and execute tasks using files as inputs or outputs. It supports structured workflows where file-based data is processed, transformed, or referenced during task execution. The agent can analyze content from files, generate new files based on that analysis, or use file metadata for decision-making.

When to use it

• When you need an AI agent to process and act upon document-based inputs like CSVs, JSON files, or text documents.
• To automate workflows that involve generating reports or logs as output files.
• For tasks requiring the agent to reference external data stored in files for decision-making or content generation.
• In scenarios where file metadata (like size, type, or modification date) influences task execution.

Key capabilities

• File input parsing and analysis
• Generation of new files based on processing results
• Integration with file metadata during planning
• Structured workflow execution using file-based data

Example prompts

• "Analyze the contents of data.csv and generate a summary report in summary.txt."
• "Use the metadata from project_plan.json to create a timeline for the next phase of development."
• "Process all .txt files in the input/ directory and compile their content into one output file."

Tips & gotchas

• Ensure that file paths are correctly specified and accessible to the AI agent.
• Be mindful of file size limitations when processing large documents, as this may affect performance or accuracy.