work

Name: work
Availability: InStock
Author: byunghak-dable

Coordinate parallel AI agent teams to execute implementation plans.

Updated Sep 12, 2023

Search Tags:#task management #workflow automation #code generation #implementation #parallel execution #agent teams

Ready to run

npx skills add https://github.com/byunghak-dable/.dotfiles --skill work-byunghak-dable

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: work
Source: https://github.com/byunghak-dable/.dotfiles/tree/main/claude/.claude/skills/work
Command: npx skills add https://github.com/byunghak-dable/.dotfiles --skill work-byunghak-dable

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the complex process of setting up and managing a team of AI agents to execute multi-faceted implementation plans, ensuring tasks are completed efficiently and in parallel.

Core Features & Use Cases

Parallel Task Execution: Manages multiple independent tasks simultaneously across a team of agents.
Dynamic Team Formation: Assembles an appropriate agent team based on the scale and nature of the work.
File Ownership Management: Prevents conflicts by assigning exclusive ownership of files to specific agents.
Use Case: When developing a new feature that involves modifying both the frontend UI and the backend API, this Skill can assign one agent to the UI tasks and another to the API tasks, allowing them to work concurrently and safely.

Quick Start

Use the work skill to execute the implementation plan defined in the 'work-pre' output.

Frequently Asked Questions about work

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

FAQPage Schema

How do I automate parallel task execution for complex implementation plans?▼

Automate parallel task execution by forming and managing parallel agent teams that handle task decomposition, agent role assignment, and progress tracking for complex development workflows.

How does file ownership arbitration work with parallel agent teams?▼

File ownership arbitration prevents conflicts by assigning exclusive ownership of specific files to individual agents, allowing multiple agents to work concurrently and safely on the same project.

Can I use dynamic team formation when modifying both frontend UI and backend API?▼

Yes, dynamic team formation assembles an appropriate agent team based on the scale and nature of the work, allowing one agent to handle UI tasks and another to handle API tasks concurrently.

Do I need experimental agent team features enabled to orchestrate parallel execution?▼

Yes, you must have experimental agent team features enabled to orchestrate parallel execution, as the Skill relies on these capabilities to form and manage agent teams.

What is the best way to start orchestrating an implementation plan with agent teams?▼

The best way to start orchestrating an implementation plan is to use the Skill to execute the implementation plan defined in the 'work-pre' output, which handles the complex setup automatically.

Are there limitations when decomposing tasks for parallel agent workflows?▼

Task decomposition is limited by the requirement of experimental agent team features and the need to clearly define independent file ownership boundaries to prevent conflicts during concurrent execution.