An intelligent orchestration hub that analyzes, decomposes, and distributes complex tasks to specialized sub-agents while ensuring reliability and progress monitoring.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-dispatcher
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-dispatcher 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 serves as the central nervous system for complex workflows within the Openclaw Skills ecosystem. It acts as the single point of entry for all user requests, taking raw instructions and transforming them into sophisticated, multi-step execution plans. By operating as the final guarantor of task success, it ensures that every objective is met either through specialized sub-agents or direct intervention.
This skill is designed to handle the entire lifecycle of a project, from initial requirement analysis and complexity assessment to parallel sub-agent management and final resource cleanup. It effectively bridges the gap between high-level user intent and the granular technical execution required by modern AI coding environments, making Openclaw Skills significantly more robust and scalable.
Task Dispatcher Use Cases
- Managing end-to-end software development cycles including architecture, coding, and testing.
- Orchestrating multi-agent research projects that require information gathering and critical analysis.
- Executing high-risk system operations that require multi-stage confirmation and fallback safety.
- Automating recurring maintenance and reporting tasks via scheduled triggers.
How Task Dispatcher Works
- Performs requirement analysis to extract goals, constraints, and identify information gaps.
- Decomposes the project into a structured task list with assigned agents and dependency mappings.
- Presents a task distribution plan to the user for confirmation and risk level classification.
- Dispatches sub-tasks to specialized agents (like coder, reviewer, or tester) using parallel or serial strategies.
- Monitors execution progress in 5-minute intervals and manages automated retries for failed sub-tasks.
- Generates periodic phase reports and progress updates to maintain transparency with the user.
- Conducts a final summary and triggers automated cleanup of temporary files and build artifacts.
Task Dispatcher Setup
To deploy the Task Dispatcher within your environment, ensure that all required sub-agents are registered in your Openclaw Skills configuration. Define your operational thresholds in the skill's YAML configuration:
max_token: 80000
max_time_minutes: 30
max_retries: 2
progress_check: 5
You can then initiate the dispatcher by submitting any complex multi-step request to your primary agent.
Task Dispatcher Data Schema & Taxonomy
The skill organizes its orchestration logic using a structured task distribution schema:
| Field | Description | Possible Values |
|---|---|---|
| complexity | Task difficulty assessment | Simple, Normal, Complex |
| risk_level | Safety and impact rating | Low, Medium, High, Critical |
| parallel_degree | Number of simultaneous agents | 1-5 |
| agent_id | Target sub-agent identifier | architect, coder, critic, devops, etc. |
| dependencies | IDs of required preceding tasks | Array of Integers |
All execution history and critical decisions are logged to a persistent memory or journal file to ensure context continuity across Openclaw Skills operations.
Task Dispatcher Advanced Features
- Parallel Auditing: Simultaneously dispatches multiple review agents to validate code, documentation, and security concurrently.
- Conflict Resolution: Implements intelligent arbitration strategies, such as majority voting or architect-led mediation, when sub-agents disagree.
- Anti-Loop Safety: Features triple-layer protection (Token, Time, and Progress) to prevent infinite execution loops and optimize resource usage.
- Automated Resource Cleanup: Uses a sophisticated trash-based removal system for temporary build artifacts, test databases, and cache files to maintain workspace hygiene.
SKILL.md
Loading
Related Openclaw Skills
Flutter Testing & QA Automation
A comprehensive testing suite for Flutter applications covering unit, widget, and end-to-end integration tests.
Flutter Expert Skill
A comprehensive AI development skill for building professional Flutter applications using Riverpod 2.0 and Clean Architecture.
Flutter Animations
A comprehensive guide to implementing smooth and performant Flutter animations, ranging from simple implicit transitions to complex physics-based motion.
SkillsIndex MCP
A comprehensive MCP server providing read/write access to over 11,000 AI agent tools, including security scoring and submission capabilities.
OpenGuardrails
OpenGuardrails is an open-source runtime security plugin designed to protect AI agents from data exfiltration, prompt injection, and sensitive data leakage.
flaw0
An AI-powered security scanner designed to detect vulnerabilities in OpenClaw code, plugins, and Node.js dependencies.
Featured*
