An automated workflow component that assigns scheduled infrastructure tasks to target worker nodes and records granular dispatch logs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-dispatche
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-dispatche 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 Dispatcher?
The Task Dispatcher is a high-performance orchestration component tailored for handling compute operations within Openclaw Skills environments. It functions as the crucial middle layer between high-level scheduling configurations and low-level physical or virtual runtime systems, translating static schedules into immediate, distributed compute directives across cluster worker nodes.
By leveraging this component, DevOps and platform engineering teams can achieve resilient distributed coordination. It guarantees that multi-stage workloads are uniformly directed to healthy infrastructure points while producing consistent metadata trails for deep observability and system monitoring dashboards.
Task Dispatcher Use Cases
- Distributed Task Execution: Seamlessly translates cron or logic-based schedules into programmatic commands sent directly to execution clusters.
- Audit Trails & Security Tracking: Automatically logs every dispatched microservice and task target to keep compliance and audit records current.
- Fault Recovery Protocols: Acts as the system baseline to allow seamless task re-dispatching when worker nodes encounter localized infrastructure or memory failures.
How Task Dispatcher Works
- Ingest Schedule: The dispatcher ingests a localized or remote scheduling plan to fetch the active queue of pending workload records.
- Generate Audit Record: It creates an isolated, structured tracking payload for every individual task execution item.
- Commit Persistent Log: The execution record is committed to the local filesystem log directory for subsequent ingestion by visualization tools.
- Update Dispatch State: The internal status of the queue item is flagged as dispatched to prevent downstream duplicate execution blocks.
- Emit Operational JSON: The script prints a clean, processable metadata JSON block mapping the execution state to stdout.
Task Dispatcher Setup
To initiate the task dispatcher within your workspace or environment built on Openclaw Skills, prepare the environment paths and call the underlying execution script:
# Ensure the required centralized log workspace path exists
sudo mkdir -p /var/log/compute/dispatched/
sudo chmod -R 755 /var/log/compute/
# Execute the task dispatch script against your cluster queue
python3 scripts/dispatch.py
Task Dispatcher Data Schema & Taxonomy
The component outputs a structured operational JSON schema at the end of every distribution cycle to document processing integrity:
| Property | Type | Description |
|---|---|---|
dispatch_timestamp |
String (ISO 8601) | The precise machine timestamp when the worker nodes were contacted. |
dispatched_tasks |
Array of Strings | Collection of identification tags representing the jobs triggered during this cycle. |
dispatch_log |
String | System path mapping to the directory containing raw text logs. |
status |
String | Terminal execution status of the controller cycle (e.g., completed). |
Task Dispatcher Advanced Features
- Granular Multi-Node Mapping: Maps specific workload categories exclusively to specialized worker node resource profiles.
- Structured Directory Logging: Writes individual run tracking files cleanly to
/var/log/compute/dispatched/for rapid integration with log aggregators. - State Isolation: Encapsulates job states safely to ensure no execution overlap or dual-delivery happens across Openclaw Skills worker groups.
SKILL.md
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