A comprehensive Python Language Server Protocol integration providing real-time diagnostics, formatting, and intelligent code analysis for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lsp-python
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lsp-python using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is LSP Python?
This skill leverages the Python Language Server Protocol (LSP) to provide deep insights into Python codebases. By integrating pylsp, Openclaw Skills allow AI agents to perform sophisticated code quality checks, style analysis based on PEP8, and retrieve intelligent metadata like function signatures and documentation strings. It serves as the technical bridge between raw code editing and professional-grade development environments, ensuring that code generated or modified by agents meets industry standards for stability and readability.
Beyond simple syntax checking, this tool provides a robust framework for navigating symbols and automating the cleanup of unused imports or poorly formatted blocks. It is an essential component for any developer looking to maintain high-quality code through automated Openclaw Skills workflows.
LSP Python Use Cases
- Detecting syntax errors and undefined variables in real-time during development.
- Enforcing PEP8 style guidelines and fixing formatting issues automatically within projects.
- Retrieving context-aware code completions and function documentation strings for better code understanding.
- Batch-analyzing entire directories to ensure project-wide code quality and consistency.
- Navigating symbol definitions for complex codebase exploration and refactoring tasks.
How LSP Python Works
- The skill initializes a connection to the Python Language Server (pylsp) through a dedicated service script.
- It accepts file paths or specific code locations via CLI commands such as check, complete, or info.
- The LSP engine analyzes the target code using underlying tools like pyflakes for logic errors and pycodestyle for formatting.
- Diagnostics are returned as structured data, including line numbers, specific error codes (like E501), and severity levels.
- Optional formatting tools like black or autoflake can be triggered through the skill to automatically resolve detected issues in-place.
LSP Python Setup
To get started with this skill, ensure Python 3.x is installed and then set up the required dependencies:
# Install the core Python Language Server
pip install python-lsp-server
# Install comprehensive plugins for formatting and type checking
pip install "python-lsp-server[all]" pylsp-mypy pylsp-black
# Install auto-fix utilities
pip install autoflake black
You can verify the installation by running pylsp --version and then execute checks using the provided Openclaw Skills scripts.
LSP Python Data Schema & Taxonomy
The skill organizes its diagnostic output based on standard LSP severity levels and PEP8 error codes. Data is typically presented in the following format:
| Severity Level | Icon | Meaning |
|---|---|---|
| 1 | ❌ | Error - Critical issues that prevent execution |
| 2 | ⚠️ | Warning - PEP8 violations or potential bugs |
| 3 | ℹ️ | Information - General code feedback |
| 4 | 💡 | Hint - Suggestions for optimization |
Common error codes like E402 (imports not at top) and E501 (line too long) are identified to help the agent provide specific remediation steps.
LSP Python Advanced Features
- Automated code fixing via the --auto-fix flag which coordinates with black and autoflake for seamless cleanup.
- Deep symbol navigation using the 'goto' command to find definitions across multiple files.
- Multi-plugin support including mypy for static type analysis and black for opinionated code formatting.
- Highly configurable LSP_TIMEOUT settings to handle large-scale analysis without interrupting agent workflows.
- Structured diagnostic output optimized for consumption by Openclaw Skills in automated pipelines.
SKILL.md
Loading
Related Openclaw Skills
CopilotKit Runtime Patterns
A comprehensive collection of 15 architectural patterns for configuring server-side CopilotKit runtimes across various JavaScript environments.
CopilotKit React Patterns
A comprehensive library of 25 prioritized best practices for building, reviewing, and refactoring agentic React applications using CopilotKit.
CopilotKit Agent Patterns
A comprehensive framework for architecting and implementing AI agents that integrate seamlessly with the CopilotKit runtime and AG-UI protocol.
agkan
agkan is an SQLite-powered CLI task management tool designed for seamless collaboration between human developers and AI agents.
YTMusic Librarian
Automate YouTube Music library management, playlist creation, and song discovery using the ytmusicapi library within your AI workflows.
GEO Visual Opportunity Engine
An AI-driven automation tool that streamlines e-commerce onboarding through data synthesis, Generative Engine Optimization, and AI image generation.
Featured*
