An automated system optimization tool that dynamically schedules priority-based template tasks based on real-time available system capacity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install workload-scheduler
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 workload-scheduler 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 Workload Scheduler?
The Workload Scheduler is a specialized component engineered to bridge the gap between real-time resource availability and task execution. By ingesting structural resource telemetry reports, it scans an integrated workload template pool to dynamically match system idle capacities against predefined operational jobs.
Its core objective is maximizing hardware utilization efficiency while respecting system stability boundaries. It evaluates constraints like memory and CPU limits, and calculates optimal deployment matrixes so that resource-intensive or low-priority background tasks are dispatched only when the platform has enough overhead to absorb them smoothly.
Workload Scheduler Use Cases
- Resource Utilization Maximization: Run auxiliary or background tasks selectively during peak idle periods without impacting production systems.
- Intelligent Automated Scheduling: Automatically discover and map incoming template jobs to matching system profiles as free capacity scales.
- Load Management and Guardrails: Enforce hard infrastructure protection policies by preventing task execution from overshooting critical system capacity limits.
How Workload Scheduler Works
- Telemetry Ingestion: Receives dynamic capacity monitoring reports indicating exact metrics for system idle resources.
- Template Evaluation: Scans the workload template library to extract data configurations and required execution footprints.
- Constraint Filtering: Filters out all candidate templates whose resource demands exceed the currently reported system idle thresholds.
- Priority Matrix Sorting: Sorts and matches eligible workloads based on operational priority and maximum resource packing density.
- Plan Execution: Generates a structured JSON scheduling plan detailing chosen tasks for down-stream execution hooks.
Workload Scheduler Setup
To deploy and provision the Workload Scheduler execution agent within your automation workflow environment, run the following setup steps:
# Navigate to your skill directory and run installation scripts
pip install -r requirements.txt
# Validate the scheduling execution script directly
python scripts/schedule.py --check
Workload Scheduler Data Schema & Taxonomy
The Workload Scheduler records capacity metrics and outputs a deterministic scheduling plan. The JSON response schema adheres to the structured taxonomy detailed below:
| Property Name | Data Type | Description |
|---|---|---|
schedule_timestamp |
String | ISO 8601 formatted execution timestamp for the generated plan |
capacity |
Object | Nested block tracking cpu_percent_idle and memory_mb_available |
scheduled_tasks |
Array | Array of string names containing the chosen templates scheduled for execution |
status |
String | Final tracking status of the scheduling cycle (e.g., completed) |
Workload Scheduler Advanced Features
- Priority-Matched Resource Packing: Employs precise sorting algorithms that pair high-priority workloads into tight-fit resource metrics.
- Dynamic JSON Matrix Generation: Emits structured output plans that integrate seamlessly into container runner clusters or cron orchestration systems.
- Flexible Capacity Boundaries: Custom thresholds can be defined directly via execution arguments to isolate production overhead safety zones.
SKILL.md
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