working-with-subagents

Name: working-with-subagents
Availability: InStock
Author: Cameron

Coordinates stateful scout, coder, and memory subagents to execute delegated tasks with context preservation.

23|1|Updated Jan 24, 2026

Search Tags:#automation #subagents #orchestration #memory #parallelization #ai-agent #task-delegation

Ready to run

npx skills add https://github.com/just-cameron/central --skill working-with-subagents-just-cameron

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: working-with-subagents
Source: https://github.com/just-cameron/central/tree/main/.skills/working-with-subagents
Command: npx skills add https://github.com/just-cameron/central --skill working-with-subagents-just-cameron

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing complex tasks across persistent subagents (scout, coder, memory) to coordinate effort without losing state.

Core Features & Use Cases

Stateful subagents that persist memory across calls
Clear deployment and task orchestration for scout, coder, memory
Supports parallel task execution and shared memory blocks

Quick Start

Instruct the system to delegate a task to the appropriate subagent and monitor the results.

Frequently Asked Questions about working-with-subagents

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

FAQPage Schema

How do I delegate tasks to subagents for parallel execution?▼

Task delegation to subagents for parallel execution is coordinated by assigning explicit agent IDs and prompts to stateful workers, which route tasks based on type and resource constraints while preserving shared memory across calls.

What is stateful subagent orchestration and when do I need it?▼

Stateful subagent orchestration coordinates persistent workers like scout, coder, and memory agents to execute delegated tasks without losing context. You need it for sustained sessions requiring memory-driven reasoning and parallel work across multiple specialized agents.

How do I preserve context and memory across multiple AI agent calls?▼

Preserving context and memory across multiple AI agent calls requires stateful subagents that maintain memory blocks between executions. The system routes decisions based on task type, ensuring shared memory persists throughout sustained sessions.

Can I use parallel task execution with persistent scout, coder, and memory agents?▼

Parallel task execution with persistent scout, coder, and memory agents is supported by coordinating stateful subagents. You must provide explicit agent IDs and prompts, allowing the system to deploy workers and monitor shared memory results.

What are the limitations of memory-driven reasoning in task delegation?▼

Memory-driven reasoning in task delegation requires explicit agent IDs and prompts for routing decisions. Limitations include the need to manage resource constraints and task type routing manually, as the system depends on sustained session state to preserve context.