Openclaw Orchestration

What This Skill Does

The Openclaw Orchestration skill is a robust, multi-agent task management framework designed to streamline complex, collaborative workflows. It functions as a decentralized coordination layer where independent AI agents can register their capabilities, accept tasks, and report progress through a unified interface. By utilizing a shared SQLite database as the single source of truth and generating human-readable Markdown interchange files, it ensures that every step of a workflow remains transparent, auditable, and synchronized across a distributed agent ecosystem.

Installation

To install this skill, run the following command in your terminal:

clawhub install openclaw/skills/skills/frank-bot07/openclaw-orchestration

After installation, navigate to the skills/orchestration directory and install the necessary dependencies using npm install. You must then register your agents to the framework to begin accepting tasks. Ensure that your environment has sufficient permissions to read and write to the local SQLite database and the designated Markdown output directory.

Use Cases

This skill is ideal for teams or developers building complex, multi-step AI workflows. Common use cases include:

• Large-scale Research Projects: Breaking down high-level research questions into smaller, atomic tasks distributed across specialized agents.
• Complex Software Development: Orchestrating a pipeline where a coding agent writes the logic, a documentation agent writes the README, and a testing agent handles the execution.
• Automated Workflow Loops: Creating dependencies where task B cannot start until task A has been marked as complete, ideal for long-running batch processes.

Example Prompts

1. "Orchestration, please register a new research agent named 'DeepSeeker' with capabilities in data analysis and technical writing."
2. "Create a high-priority task titled 'Refactor API Auth' with a detailed description and link it as a dependency for the 'Documentation' task."
3. "List all pending tasks assigned to the 'coding' agent and provide a summary of the current project status from the latest interchange files."

Tips & Limitations

• Projections vs Truth: Always rely on the SQLite database for real-time task status. The .md interchange files are intended for human visibility and audit trails, not as state inputs.
• Deadlock Prevention: Be mindful of dependencies. Ensure your task graph is a Directed Acyclic Graph (DAG) to avoid infinite loops.
• Atomic Operations: The framework enforces atomic claims, meaning if a task is already claimed, the system will prevent race conditions. If an agent goes offline while holding a task, use the sweep command to clear stale tasks and reset them for retry.