Our review
This skill leverages a Python execution tool as a scratchpad for arithmetic, data transformation, and quick script-based validation.
Strengths
- Reliable for arithmetic and unit conversions
- Handy for validating regex and parsing logic
- Streamlines transforming JSON, CSV, or small text payloads
- Promotes small, reproducible scripts using only the standard library
Limitations
- Requires a configured Python execution tool
- Not suited for heavy or large-scale data processing
- Scripts must stay small and task-specific to remain efficient
When a task benefits from a short, repeatable Python script over approximate reasoning.
When no Python execution tool is available or the problem is straightforward enough to solve without running code.
Security analysis
SafeThe skill only instructs using an existing Python execution tool for general-purpose scratchpad calculations and data transformations. It does not contain destructive commands, exfiltration, obfuscated payloads, or instructions to disable safety mechanisms. The declared allowed-tool is execute_code, which is a legitimate code execution utility, and the skill does not direct unsafe usage.
No concerns found
Examples
Use the Python scratchpad to convert 42 gallons to liters and show the result.Use the Python execution tool to check whether the regex ^[a-z0-9._%+-]+@[a-z0-9.-]+\.[a-z]{2,}$ matches the email addresses in this list: alice@example.com, bob@test.co, invalid-email.Using the Python execution tool, take this JSON array and output a CSV with only the name and age fields: [{"name": "Ana", "age": 30, "city": "Madrid"}, {"name": "Ben", "age": 25, "city": "Paris"}]name: python-scratchpad description: Use the existing Python execution tools as a scratchpad for calculations, data transformation, and quick script-based validation. allowed-tools: execute_code
Python Scratchpad
Use this skill when the task benefits from a short Python script instead of pure reasoning.
This skill is especially useful for:
- arithmetic and unit conversions
- validating regexes or parsing logic
- transforming JSON, CSV, or small text payloads
- checking assumptions with a small reproducible script
Requirements:
- The agent should have access to
execute_code.
Workflow:
- If the task needs computation or a repeatable transformation, activate this skill.
- If you need examples, call
read_skill_fileforreferences/examples.md. - Write a short Python script for the exact task.
- Prefer
execute_code. - Use the script output in the final answer.
- Keep scripts small and task-specific.
Rules:
- Prefer standard library Python.
- Print only the values you need.
- Do not invent outputs without running the script.
- If
execute_codeis not available, say exactly:No Python execution tool is configured for this agent. - Do not claim there is a generic execution-environment problem unless a tool call actually returned such an error.
Expected behavior:
- Explain the result briefly after using the script.
- Include the computed value or transformed output in the final answer.
Next.js App Router Expert
Development
A skill that turns Claude into a Next.js App Router expert.
README Generator
Development
Creates professional and comprehensive README.md files for your projects.
API Documentation Writer
Development
Generates comprehensive API documentation in OpenAPI/Swagger format.