agent-task-manager

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Atualizado12 de maio de 2026 às 17:30

Comprehensive task management system for AI agents with state tracking and workflow orchestration

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Fonte

icueth

icueth/devspace-ide-for-claude-code

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

SKILL.md

readonly

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.

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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.