agent-task-manager

name	agent-task-manager
description	Comprehensive task management system for AI agents with state tracking and workflow orchestration

Agent Task Manager

This built-in skill provides a robust task management system for AI agents to handle complex workflows, track task states, manage dependencies, and coordinate multi-step processes.

Capabilities

• Task Creation: Create tasks with descriptions, priorities, deadlines, and metadata
• State Management: Track task states (pending, in_progress, completed, failed, blocked)
• Dependencies: Define task dependencies and execution order
• Progress Tracking: Monitor task progress with percentage completion and status updates
• Error Handling: Handle task failures with retry mechanisms and error reporting
• Notifications: Send notifications for task completion, failures, or deadlines
• Task Groups: Organize related tasks into groups or projects
• Resource Allocation: Manage resource allocation and concurrency limits
• History Logging: Maintain complete task execution history for audit trails
• Export/Import: Export task data to various formats and import from external sources

Usage Examples

Basic Task Creation

tool: agent-task-manager
action: create_task
task:
  name: "Deploy Application"
  description: "Deploy the latest version to production"
  priority: "high"
  deadline: "2026-03-15T18:00:00Z"
  tags: ["deployment", "production"]

Task Dependencies

tool: agent-task-manager
action: create_task_group
group:
  name: "Feature Implementation"
  tasks:
    - name: "Design API"
      dependencies: []
    - name: "Implement Backend"
      dependencies: ["Design API"]
    - name: "Implement Frontend"
      dependencies: ["Design API"]
    - name: "Integration Testing"
      dependencies: ["Implement Backend", "Implement Frontend"]

Progress Tracking

tool: agent-task-manager
action: update_task
task_id: "task_12345"
updates:
  status: "in_progress"
  progress: 75
  notes: "Backend implementation completed, working on frontend integration"

Security Considerations

• Task data is encrypted at rest when sensitive information is involved
• Access control ensures only authorized agents can modify tasks
• Audit logging tracks all task modifications for security compliance
• Resource limits prevent runaway task creation or execution

Configuration

The agent-task-manager skill can be configured with the following parameters:

• storage_backend: Storage backend (sqlite, postgres, memory)
• max_concurrent_tasks: Maximum number of concurrent tasks (default: 10)
• retry_policy: Retry policy for failed tasks (max_retries, backoff_strategy)
• notification_channels: Notification channels (email, webhook, internal)
• retention_policy: Data retention policy for completed tasks

This skill is essential for any agent that needs to manage complex workflows, coordinate multiple steps, or track progress across extended operations.