Data Processor

What it does

The data-processor skill allows AI agents to manipulate and transform structured data. It can parse complex datasets, extract specific information based on defined criteria, and reformat data into new structures for downstream tasks. This includes converting between different file formats (like CSV, JSON, and XML) and performing calculations or aggregations within the data.

When to use it

• Data Extraction: You need to pull key details from a large report in PDF format.
• Format Conversion: You have data in one format (e.g., CSV) but another application requires JSON.
• Report Generation: You want an AI agent to summarize sales figures extracted from a database and present them as a formatted table.
• Data Cleaning: You need the skill to remove irrelevant or incorrect entries from a dataset.

Key capabilities

• Parsing of CSV, JSON, and XML data formats.
• Data extraction based on defined criteria.
• Data reformatting into new structures.
• File format conversion (CSV -> JSON, etc.).
• Calculation and aggregation within datasets.

Example prompts

• "Extract all customer names and email addresses from this CSV file."
• "Convert this JSON data to a CSV format suitable for import into Excel."
• "Summarize the sales figures in this XML report and present them as a table with total revenue, average sale price, and number of transactions."

Tips & gotchas

The skill's effectiveness depends on the quality and consistency of the input data. Ensure your datasets are well-structured for optimal results; poorly formatted or inconsistent data may require additional pre-processing steps.