skill-with-scripts
A template for skills that include executable code for deterministic operations.
When & Why to Use This Skill
This Claude skill template provides a robust framework for integrating executable Python scripts into AI agents, enabling deterministic operations that require higher precision than standard text generation. It bridges the gap between creative LLM reasoning and reliable code execution for tasks like data transformation and input validation, ensuring high-performance and error-free technical workflows.
Use Cases
- Automated Data Processing: Execute Python scripts to handle structured data transformations, such as converting CSV files to specific formats with 100% accuracy.
- Input Validation and Guardrails: Use deterministic scripts to verify user inputs against strict criteria before proceeding with complex agent workflows.
- Reliable Technical Operations: Perform mathematical calculations or system-level checks that benefit from code execution rather than probabilistic LLM outputs.
- Skill Development Boilerplate: Serve as a standardized starting point for developers to build custom Claude skills that require external script dependencies and local execution.
| name | skill-with-scripts |
|---|---|
| description | A template for skills that include executable code for deterministic operations. |
| version | 1.0.0 |
Skill With Scripts
Overview
This template demonstrates how to create a skill that includes executable scripts for operations that benefit from deterministic code execution rather than token generation.
Instructions
When the user requests [specific task]:
- Analyze the request to determine required parameters
- Execute the appropriate script from the
scripts/directory - Process and format the results
- Present the output to the user
Available Scripts
scripts/process_data.py
Use this script when the user needs to process structured data.
python scripts/process_data.py --input <file> --output <format>
scripts/validate.py
Use this script to validate user input before processing.
python scripts/validate.py --check <type> --data <input>
Examples
Example: Data Processing
User Request: "Process the CSV file and generate a summary"
Steps:
- Validate the input file exists
- Run
process_data.pywith appropriate flags - Format and present results
Guidelines
- Always validate input before processing
- Handle errors gracefully and inform the user
- Use scripts for deterministic operations
- Generate responses for creative/analytical tasks