A robust utility for managing and automating state transitions within machine-driven workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jpeng-state-machine
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 jpeng-state-machine 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 jpeng State Machine?
The jpeng State Machine is a specialized technical tool designed to handle complex state-related logic and machine automation operations. By providing a structured way to transition between different states, it ensures that your AI coding agents can maintain consistency and reliability during multi-step automation tasks.
Built as a versatile addition to the library of Openclaw Skills, this tool bridges the gap between high-level agent instructions and low-level state persistence. It allows developers to define clear inputs and outputs for machine tasks, ensuring that every automation operation follows a deterministic and predictable path.
jpeng State Machine Use Cases
- Managing complex user-defined state logic in AI workflows.
- Automating repetitive machine tasks that require persistence.
- Coordinating multi-step automation operations within a development environment.
How jpeng State Machine Works
- The skill initializes by consuming an input file or parameter containing the desired state transition data.
- It validates the current machine environment and checks for the required API authentication.
- The core logic processes the state change, interacting with the underlying machine or system as specified.
- Upon completion, it generates an output file or object detailing the success of the transition and any associated metadata.
jpeng State Machine Setup
To integrate this tool with your Openclaw Skills, first set the necessary environment variables:
export MACHINE_API_KEY="your-api-key"
You can then execute state operations using the following CLI command:
python3 scripts/state_machine.py --input <input> --output <output>
jpeng State Machine Data Schema & Taxonomy
The skill utilizes a structured JSON format to communicate results. The data architecture is organized as follows:
| Field | Type | Description |
|---|---|---|
| success | Boolean | Indicates if the state transition was successful. |
| data | Object | Contains the specific payload and metadata of the resulting state. |
| version | String | The version of the skill schema being used (default 1.0.0). |
jpeng State Machine Advanced Features
- Support for complex automation operations across different machine environments.
- Detailed JSON logging for debugging state transitions within AI agent workflows.
- Seamless integration as part of a larger chain of Openclaw Skills for end-to-end automation.
SKILL.md
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