---
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"
