using-faber

Manage Faber autonomous agent tasks via a command-line interface.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/blaknite/agent-skills --skill using-faber
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: using-faber
Source: https://github.com/blaknite/agent-skills/tree/main/using-faber
Command: npx skills add https://github.com/blaknite/agent-skills --skill using-faber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a command-line interface to manage Faber, a tool for running multiple autonomous coding agents in parallel, streamlining agent-based development workflows.

Core Features & Use Cases

  • Task Management: Dispatch, monitor, and interact with autonomous agents.
  • Workflow Automation: Integrate agent execution directly into development pipelines.
  • Use Case: When encountering a complex bug, use this Skill to run a 'deep' agent to investigate and fix it, then watch its progress and merge the changes once complete.

Quick Start

Use the faber skill to run a new task with the prompt 'fix the login bug'.

Frequently Asked Questions about using-faber

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage multiple autonomous coding agents running in parallel?

You can manage parallel autonomous coding agents by using a command-line interface to dispatch tasks, watch progress, read logs, and merge changes. This streamlines agent-based development workflows by allowing centralized control over multiple agents.

Can I dispatch a task to an agent with a specific prompt and directory?

Yes, you can dispatch tasks to an autonomous agent by specifying the prompt, target directory, and model. This allows you to direct agents to investigate and fix complex bugs within specific project contexts.

How do I monitor the progress of an autonomous agent task?

You monitor autonomous agent tasks by watching their real-time progress, reading their logs, and inspecting their diffs. This provides visibility into agent actions before you merge or mark them done.

What is the best way to integrate agent execution into a development workflow?

Integrating agent execution into a development workflow is best achieved by using a CLI to automate task dispatch and management. This enables parallel task execution and continuous interaction within existing development pipelines.

How do I clean up or continue an existing autonomous agent task?

You can clean up or resume autonomous agent tasks by using CLI commands to continue, mark done, or delete them. This ensures completed or failed tasks are properly managed within your development environment.