Python Pro
Generates, debugs, and explains Python code snippets for complex backend tasks and API integrations.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add python-pro npx -- -y @trustedskills/python-pro
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"python-pro": {
"command": "npx",
"args": [
"-y",
"@trustedskills/python-pro"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The python-pro skill enables AI agents to execute Python code, perform data analysis, manipulate datasets, and interact with APIs. It supports advanced features like running scripts in isolated environments, handling dependencies, and returning structured outputs.
When to use it
- To run complex data processing tasks or machine learning models within an AI agent workflow.
- For automating repetitive backend operations using Python scripts.
- When integrating external services via Python-based API calls.
- To perform ad-hoc computations or generate reports dynamically based on user input.
Key capabilities
- Execution of Python code in secure, isolated environments.
- Support for common libraries like NumPy, Pandas, and Requests.
- Ability to return results as text, JSON, or downloadable files.
- Integration with external APIs and data sources.
Example prompts
- "Run a script that calculates the mean of this dataset: [data]."
- "Fetch the latest weather data from the OpenWeather API for London."
- "Generate a CSV file containing the first 100 rows of the Iris dataset."
Tips & gotchas
- Ensure all required Python packages are pre-installed or use virtual environments to manage dependencies.
- Be mindful of execution time limits and resource constraints when running intensive scripts.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.