What is the Plan subagent used for?

The Plan subagent researches the codebase and designs an orchestration strategy in an isolated context to save tokens and ensure a high-quality execution plan before work begins.

What are Resumable Sessions?

Resumable Sessions allow long-running tasks to continue across multiple interactions, preserving the agent's full context without needing to re-explain the problem.

How does the skill decide which agent to use?

It routes tasks by role (e.g., coding, reviewing, testing) and maps them to the best available agent, preferring specialized domain agents over generalists.

Can I run multiple agents at the same time?

Yes, the skill supports parallel execution using background tasks, which is ideal for independent concerns like running security audits and performance checks simultaneously.

When should I use a Challenge Loop?

Use a Challenge Loop for complex architecture decisions or high-stakes changes where you want one agent to propose a solution and another to question assumptions and simplify the design.

Subagent Coordination

Name: Subagent Coordination
Author: outfitter-dev

byoutfitter-dev

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Herramientas de Colaboración

Orchestrates complex multi-agent workflows by delegating tasks to specialized roles for efficient and high-quality software development.

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Subagent Coordination is a sophisticated skill designed to manage complex development tasks by breaking them down and assigning them to dedicated agent roles like coding, reviewing, and debugging. By employing a 'Plan' subagent for initial research, it prevents token bloat in the main conversation while ensuring high-stakes changes are thoroughly architected before execution. The skill enables diverse execution patterns—including sequential handoffs, parallel processing, and challenge loops—allowing Claude to function as a professional-grade engineering team within your codebase.

Características Principales

Specialized Task Routing: Automatically matches work to specific roles like 'analyst' for research or 'ranger' for reviews.
Background Execution: Runs multiple agents asynchronously to maximize productivity and reduce wait times.
Resumable Agent Sessions: Maintains full context across long-running debugging or multi-phase research tasks.
16 GitHub stars
Plan-First Orchestration: Uses an isolated subagent to research and design strategies before executing changes.
Hybrid Workflow Patterns: Supports sequential, parallel, and challenge-loop execution for various engineering needs.

Casos de Uso

Automating multi-stage investigation chains to diagnose and fix complex production bugs.
Architecting features that touch multiple domains like authentication, performance, and database schema.
Implementing 'Challenge Loops' where a secondary agent critiques code proposals to prevent over-engineering.

Acerca de

Características Principales

Specialized Task Routing: Automatically matches work to specific roles like 'analyst' for research or 'ranger' for reviews.
Background Execution: Runs multiple agents asynchronously to maximize productivity and reduce wait times.
Resumable Agent Sessions: Maintains full context across long-running debugging or multi-phase research tasks.
16 GitHub stars
Plan-First Orchestration: Uses an isolated subagent to research and design strategies before executing changes.
Hybrid Workflow Patterns: Supports sequential, parallel, and challenge-loop execution for various engineering needs.

Casos de Uso

Automating multi-stage investigation chains to diagnose and fix complex production bugs.
Architecting features that touch multiple domains like authentication, performance, and database schema.
Implementing 'Challenge Loops' where a secondary agent critiques code proposals to prevent over-engineering.