A sophisticated multi-task management skill that enables AI agents to execute multiple instructions simultaneously with intelligent priority and dependency handling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install parallel-task-executor
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 parallel-task-executor 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 Parallel Task Executor?
The Parallel Task Executor is a high-performance management layer for Openclaw Skills designed to handle complex instruction sets through optimized concurrent execution. Instead of processing user requests sequentially, this skill analyzes multiple commands, identifies their specific types—ranging from file operations and browser actions to API calls—and schedules them within a dynamic execution pool. This architecture significantly reduces total latency and maximizes the throughput of AI-driven automation.
By integrating this capability into your Openclaw Skills environment, you gain fine-grained control over task orchestration. The executor supports a tiered priority system (P0 to P3), ensuring that critical operations are handled immediately while background processes run during system idle time. It also features built-in dependency resolution, allowing agents to understand when certain tasks must wait for others, providing a robust foundation for sophisticated developer workflows.
Parallel Task Executor Use Cases
- Executing multiple independent file operations such as creating, moving, and downloading assets simultaneously.
- Orchestrating multi-tab browser automations for data scraping, form filling, and screenshot capture.
- Managing complex CI/CD or developer workflows where certain tasks must wait for directory creation or dependency installation.
- High-throughput data processing involving parallel JSON/XML parsing or multiple concurrent API queries.
- Running low-priority background maintenance and cleanup tasks while prioritizing urgent user-facing requests.
How Parallel Task Executor Works
- The skill receives a batch of instructions or a multi-part command through the Openclaw Skills interface.
- It automatically registers each instruction as an independent task, generating a unique ID and determining the task type and priority.
- The scheduling engine sorts the tasks based on the P0-P3 priority system and analyzes any explicit or implicit dependency requirements.
- Tasks are allocated to an execution pool based on available system resources and the configured maximum concurrency limit (defaulting to 4).
- The executor runs the tasks concurrently, providing real-time progress updates and status tracking (pending, running, completed, or failed).
- Upon completion, the skill aggregates all results into a detailed execution report including success rates, durations, and error logs.
Parallel Task Executor Setup
To configure the Parallel Task Executor within your Openclaw Skills environment, modify your local configuration file:
# Open your configuration file
nano ~/.openclaw/openclaw.json
Add or update the following configuration block to customize execution limits:
{
"parallel-executor": {
"max_concurrent_tasks": 4,
"task_timeout_seconds": 30,
"max_retries": 3,
"default_priority": "P1",
"enable_progress_tracking": true
}
}
Parallel Task Executor Data Schema & Taxonomy
The Parallel Task Executor organizes its workflow using a structured metadata schema for both individual tasks and batch sessions.
| Attribute | Type | Description |
|---|---|---|
task_id |
String | Unique identifier for a specific instruction. |
priority |
Enum | Level from P0 (Urgent) to P3 (Low). |
status |
String | Lifecycle state: pending, running, completed, failed, or cancelled. |
depends_on |
Array | List of task IDs that must finish before this task starts. |
execution_id |
String | Identifier for the entire batch execution session. |
success_rate |
String | Percentage of successfully completed tasks in a session. |
Parallel Task Executor Advanced Features
- Intelligent Priority Scheduling: Automatically promotes P0 urgent tasks to the front of the execution queue.
- Automated Dependency Resolution: Intelligently switches from parallel to serial execution for tasks requiring specific order (e.g., 'create folder' then 'create file').
- Fault Isolation: Ensures that a failure in one task does not impact the execution of other independent tasks within the same batch.
- Exponential Backoff Retries: Implements smart retry logic for network-dependent Openclaw Skills to improve reliability under unstable conditions.
- Real-time Progress Tracking: Provides live ETA calculations and percentage completion updates for long-running concurrent operations.
SKILL.md
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