Using Python Lsp
Leverages Python Language Server Protocol for code completion, linting, and debugging within backend workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add using-python-lsp npx -- -y @trustedskills/using-python-lsp
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"using-python-lsp": {
"command": "npx",
"args": [
"-y",
"@trustedskills/using-python-lsp"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides Language Server Protocol (LSP) support for Python within an AI agent. It enables features like code completion, linting, and error checking directly within the agent's environment. This allows the agent to understand and interact with Python code more effectively, improving its ability to generate or analyze software.
When to use it
- Code Generation: When your AI agent needs to write Python scripts for automation tasks.
- Debugging Assistance: To help an agent identify and correct errors in existing Python code.
- Code Analysis: For agents that need to understand the structure and logic of Python programs.
- Refactoring Support: When an agent is tasked with improving or restructuring Python codebases.
Key capabilities
- Python Language Server Protocol (LSP) support
- Code completion
- Linting
- Error checking
Example prompts
- "Write a Python script to scrape data from this website and save it to a CSV file."
- "Find and fix any errors in this Python code: [code snippet]"
- "Explain what this Python function does: [code snippet]"
Tips & gotchas
The agent needs access to a Python interpreter and the necessary LSP server dependencies for this skill to function correctly. Ensure these are installed before using the skill.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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