agent-orchestration-spawn-single-agent
About
This skill enables spawning individual specialized agents (like coders, testers, or reviewers) within an orchestrated workflow. It allows developers to instantiate agents with specific capabilities for focused tasks, such as API development or code review. Use it when you need to delegate a discrete unit of work to a dedicated AI agent within a larger automation process.
Quick Install
Claude Code
Recommendednpx skills add vamseeachanta/workspace-hub -a claude-code/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/agent-orchestration-spawn-single-agentCopy and paste this command in Claude Code to install this skill
GitHub Repository
Related Skills
hive-mind-advanced
OtherThis skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex collective intelligence tasks. Use it when you need sophisticated swarm coordination where a central queen agent orchestrates specialized workers through Byzantine consensus. It provides hierarchical architecture patterns for managing high-level objectives across distributed agent systems.
hive-mind-advanced
OtherThis skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex distributed tasks. It's ideal for developers building sophisticated swarm systems requiring hierarchical orchestration and collective decision-making. Key features include Byzantine consensus, strategic queen coordination, and shared memory across specialized worker agents.
hive-mind-advanced
OtherThis skill implements a queen-led multi-agent coordination system with consensus mechanisms and persistent memory. Use it when you need to orchestrate sophisticated workflows across specialized AI agents for complex tasks. It provides hierarchical control, collective decision-making, and shared memory for advanced swarm intelligence applications.
hive-mind-advanced
OtherThis skill implements a queen-led multi-agent coordination system for complex tasks requiring collective intelligence. It provides consensus mechanisms and persistent memory to orchestrate specialized worker agents from a central strategic coordinator. Use it when building sophisticated workflows that need hierarchical decision-making and shared state across multiple AI agents.