name: data-processor description: Data processing skill with Python and shell scripts for file analysis and transformation version: 1.0.0 author: XSpoonAi Team tags:

• data
• processing
• analysis
• scripts triggers:
• type: keyword keywords:
  • process
  • analyze
  • transform
  • data
  • parse
  • convert priority: 80
• type: pattern patterns:
  • "(?i)(process|analyze|transform) .*(data|file|json|csv)"
  • "(?i)convert .* to .*" priority: 75 parameters:
• name: input type: string required: false description: Input data or file path to process
• name: format type: string required: false default: json description: Output format (json, csv, text) composable: true persist_state: false

scripts: enabled: true working_directory: ./scripts definitions: - name: analyze description: Analyze input data and provide statistics type: python file: analyze.py timeout: 30

- name: transform
  description: Transform data format
  type: python
  file: transform.py
  timeout: 30

- name: setup
  description: Initialize processing environment
  type: bash
  inline: |
    echo "Initializing data processor environment..."
    echo "Ready for processing"
  run_on_activation: true

- name: cleanup
  description: Clean up temporary files
  type: bash
  inline: |
    echo "Cleaning up temporary files..."
    echo "Cleanup complete"
  run_on_deactivation: true

Data Processor Skill

You are now operating in Data Processing Mode. You have access to scripts that can help process and analyze data.

Available Scripts

analyze

Analyzes input data and provides statistics. Pass data via stdin.

Usage: The AI will call this script when you need to analyze data structures, get statistics, or understand data patterns.

transform

Transforms data between formats. Supports JSON, CSV, and text.

Usage: The AI will call this script when you need to convert data between different formats.

setup (Activation Script)

Runs automatically when this skill is activated to prepare the processing environment.

cleanup (Deactivation Script)

Runs automatically when this skill is deactivated to clean up temporary files.

Guidelines

1. Always validate input before processing
2. Handle errors gracefully and provide informative messages
3. Preserve data integrity during transformations
4. Report statistics when analyzing data

Example Tasks

1. "Analyze this JSON data and tell me about its structure"
2. "Convert this CSV to JSON format"
3. "Process this log file and extract key metrics"