Autonomous Task Execution FAQs

Question 1

What does the Autonomous Task Execution skill do?

Accepted Answer

This skill automates complex, long-running projects by breaking them down into manageable sub-tasks. It uses a dual-agent architecture (Initializer and Executor) to manage progress across multiple self-continuing sessions without requiring constant human input.

Question 2

Does this skill support network access for tasks like API integration?

Accepted Answer

Yes. By using the `--network` flag, you can enable network access for the session. This allows the agent to interact with external APIs or fetch data, provided you have enabled the necessary sandbox permissions.

Question 3

How does the dual-agent architecture improve performance?

Accepted Answer

The system splits responsibilities: the Initializer focuses on high-level analysis and creates a master task list, while the Executor handles the technical implementation. This separation prevents 'context drift' and ensures each sub-task is completed thoroughly.

Question 4

When should I use this skill over standard Claude Code commands?

Accepted Answer

Use this skill when your project is too large for a single session or context window. It is ideal for tasks like building full REST APIs, large-scale refactors, or multi-file migrations where state persistence and task tracking are critical.

Question 5

Can I monitor progress or stop the automation at any time?

Accepted Answer

Yes. The skill maintains a `.autonomous/` directory with a `task_list.md` and `progress.md` for real-time tracking. You can pause execution with Ctrl+C and resume later using the `--continue` flag, or use `--list` to see the status of all active tasks.

Autonomous Task Execution

Autonomous Task Execution

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Características Principales

Casos de Uso

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Características Principales

Casos de Uso