A Python-driven intelligent execution skill designed for task-oriented automation and dynamic code generation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install python-use-agent
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 python-use-agent 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 Python-Use Agent?
The Python-Use Agent is an advanced execution layer within the Openclaw Skills ecosystem. Based on the philosophy of No Agents, Code is Agent, it shifts away from traditional function calling and pre-defined workflows toward dynamic, real-time code generation and execution. It acts as a bridge between high-level user intent and executable Python scripts.
While originally a standalone skill, its capabilities have been fully integrated into the unified code entry point. This integration ensures that users of Openclaw Skills benefit from a more streamlined interface while maintaining backward compatibility for legacy workflows. It remains a powerful tool for developers needing result-oriented, automated processing without the overhead of manual tool registration.
Python-Use Agent Use Cases
- Automated data analysis and visualization using dynamic Python scripts.
- Interacting with external APIs through on-the-fly request generation.
- General task automation where logic must be determined at runtime.
- Seamless transition from legacy Python-Use workflows to the unified code execution standard.
How Python-Use Agent Works
- Intent Analysis: The agent receives a natural language task description from the user.
- Planning: AI interprets the requirements and plans a logical execution path.
- Code Generation: The skill automatically generates the necessary Python code to fulfill the task.
- Execution: The generated script is executed in a secure environment to obtain real-time results.
- Feedback Loop: Results are analyzed; if errors occur, the agent performs an automatic fix and re-executes until the goal is met.
Python-Use Agent Setup
To use this within the Openclaw Skills framework, you can invoke it directly or through the unified code command.
# Recommended usage via unified entry
code python "analyze current directory data"
# Legacy usage (still supported)
python "fetch api data and save to csv"
Python-Use Agent Data Schema & Taxonomy
The Python-Use Agent operates with a results-oriented data model, focusing on transient execution and final outputs.
| Component | Description |
|---|---|
| Input | Natural language task strings or descriptions. |
| Logic | Dynamically generated .py scripts (ephemeral). |
| Output | Console output, generated files (CSV, JSON, Images), or API responses. |
| Metadata | Task status, execution logs, and automated fix history. |
Python-Use Agent Advanced Features
- Dynamic Workflow Planning: Unlike traditional agents with static steps, it plans the execution path based on the specific prompt.
- Self-Healing Execution: Automatically detects code errors and rewrites scripts to resolve issues without user intervention.
- Unified Integration: Fully compatible with the code entry point of Openclaw Skills for a centralized developer experience.
- Direct Code Execution: Bypasses the limitations of standard function calling by writing and running full Python blocks.
SKILL.md
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