An expert task distribution skill designed for intelligent work allocation, load balancing, and high-performance queue management in distributed AI systems.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ah-task-distributor
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 ah-task-distributor 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 Distributor?
The Task Distributor is a sophisticated component within the Openclaw Skills ecosystem, engineered to handle complex workload allocation across distributed environments. It functions as a senior coordinator that optimizes how tasks are assigned to various agents or resources, ensuring that no single node is overwhelmed while maintaining a high level of system-wide efficiency.
By leveraging advanced load balancing algorithms and real-time capacity tracking, this skill minimizes distribution latency and prevents queue overflows. It is specifically designed for developers needing robust resource optimization, priority-based scheduling, and guaranteed service level objectives (SLOs) in multi-agent or distributed computing architectures.
Task Distributor Use Cases
- Managing high-volume task queues with sub-50ms distribution latency.
- Balancing workloads across multiple AI agents to maintain a load variance below 10%.
- Enforcing strict priority scheduling and deadline management for mission-critical operations.
- Scaling distributed systems elastically by tracking real-time agent capacity and performance metrics.
- Implementing dead letter queues and retry mechanisms for resilient task processing.
How Task Distributor Works
- Context Assessment: The skill queries the context manager to evaluate current task requirements and existing agent capacities.
- Queue Analysis: It reviews queue states, performance metrics, and identified bottlenecks to determine the best distribution strategy.
- Strategy Implementation: Based on the analysis, it applies specific algorithms such as round-robin, consistent hashing, or capacity-based routing.
- Dynamic Rebalancing: The system continuously monitors load variance and agent health, adjusting weights and routing rules in real-time to maintain optimal throughput.
- Performance Verification: Every distribution cycle is checked against KPIs including task completion rates, resource utilization, and deadline success.
Task Distributor Setup
To integrate this skill into your environment, use the Openclaw Skills CLI to add the task-distributor module.
# Install the task-distributor skill
claw install task-distributor
# Configure global queue parameters
claw configure task-distributor --latency-target 50ms --utilization-goal 80%
Task Distributor Data Schema & Taxonomy
The Task Distributor organizes its operations through a structured data model to ensure transparency and auditability:
| Entity | Attributes | Purpose |
|---|---|---|
| Task Profile | Priority, Deadline, Resource Needs, TTL | Defines individual task requirements. |
| Agent Metrics | Workload, Skill Map, Availability, Efficiency Score | Tracks the health and capacity of processing nodes. |
| Queue State | Backlog Size, Average Wait Time, Error Rate | Monitors the flow and health of the distribution pipeline. |
| Distribution Log | Strategy Used, Target Agent, Latency, Outcome | Records historical data for predictive routing and optimization. |
Task Distributor Advanced Features
- Predictive Routing: Uses historical performance patterns to anticipate bottlenecks before they occur.
- Affinity Preservation: Ensures related tasks are routed to the same agent or resource pool to maintain state consistency.
- Multi-Agent Coordination: Deep integration with Openclaw Skills like the workflow-orchestrator and agent-organizer for complex dependency management.
- SLA Enforcement: Automated preemption rules and resource reservation to guarantee that high-priority tasks always meet their deadlines.
- Geographic Awareness: Capability to route tasks based on geographical distribution to minimize network latency.
SKILL.md
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