A powerful orchestration engine for managing multi-agent workflows, complex task dependencies, and parallel execution logic.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-orchestra
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 task-orchestra 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 Task Orchestra?
Task Orchestra is a specialized framework designed to manage the lifecycle of complex, multi-step operations by coordinating multiple AI subagents. It allows developers to break down large, monolithic projects into manageable units, routing specific duties to specialized agents while maintaining overall state consistency. By utilizing this core component of Openclaw Skills, you can automate sophisticated sequences that require high-level supervision, resource management, and robust error recovery.
The skill enables the implementation of various orchestration patterns, including sequential pipelines, parallel execution, and supervisor-based team management. It excels at resolving data and resource dependencies, ensuring that each step in a workflow triggers only when its specific prerequisites are met. This makes it an essential tool for scaling AI-driven operations from simple scripts to comprehensive, multi-agent systems that can handle research, development, and content creation autonomously.
Task Orchestra Use Cases
- Orchestrating multi-agent research projects that involve data collection, analysis, and final reporting.
- Managing software development lifecycles from requirements gathering through to automated testing and deployment.
- Executing independent tasks in parallel to optimize execution time and maximize resource usage.
- Building content creation pipelines that coordinate specialized agents for research, drafting, editing, and publication.
How Task Orchestra Works
- Task Breakdown: The system analyzes a complex workflow to decompose it into discrete tasks and sub-tasks with clear boundaries.
- Dependency Mapping: It identifies data, resource, and order dependencies to create a topological execution plan and dependency graph.
- Agent Spawning: Specialized subagents are initialized and assigned specific roles or instructions based on the workflow requirements.
- Execution & Monitoring: Tasks are executed according to the plan while the coordinator monitors progress, resource usage, and agent health.
- Aggregation & Synthesis: Results from all agents are collected, validated, and synthesized into a final output while handling any necessary retries or rollbacks.
Task Orchestra Setup
To integrate Task Orchestra into your environment, ensure you have the necessary system binaries and node packages installed. This is a foundational part of your Openclaw Skills setup.
# Install the required async utility package
npm install async
# Ensure system dependencies are available
# Requires: curl, jq
# Configure necessary environment variables
export BRAVE_API_KEY="your_api_key_here"
Task Orchestra Data Schema & Taxonomy
Task Orchestra organizes workflow state and agent metadata using a structured taxonomy to ensure data integrity across multi-step operations.
| Attribute | Description | Format |
|---|---|---|
| task_id | Unique identifier for a specific workflow step | String |
| dependencies | List of task IDs that must complete before execution | Array |
| agent_label | The descriptive name assigned to the spawned subagent | String |
| execution_mode | Defines if the task is run, watched, or backgrounded | Enum |
| state_checkpoint | Captured progress data used for recovery and restarts | Object |
Task Orchestra Advanced Features
- Hierarchical Orchestration: Support for multi-level management structures where main coordinators oversee team-level coordinators.
- Dynamic Work Allocation: Ability to reassign tasks in real-time based on agent performance, failures, or load balancing needs.
- Adaptive Planning: Continuous monitoring of results allows the orchestrator to adjust future steps in the workflow dynamically.
- Safety Guardrails: Built-in limits for agent nesting depth and concurrent execution to ensure system stability within Openclaw Skills.
- Event-Driven Processing: Support for workflows triggered by specific events, enabling reactive and autonomous agent behavior.
SKILL.md
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