Orchestrates multi-agent workflows to parallelize complex coding tasks and manage collaborative agent swarms.
This skill empowers Claude Code with sophisticated multi-agent coordination patterns specifically designed for OpenCode swarm workflows. It enables the efficient decomposition of large-scale tasks—such as features spanning multiple files or complex refactors—into manageable units for parallel processing by specialized foreground and background agents. By implementing structured protocols for task initialization, file reservations, and progress reporting, it ensures high-speed delivery without the risk of file conflicts or redundant effort, making it essential for developers looking to maximize their AI-driven development velocity through parallelization.
Key Features
01Decomposition of complex tasks into parallelizable worker threads
02Integration with Swarm Mail for seamless inter-agent communication
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04Strategic management of foreground and background agent tool access
05Sophisticated file reservation protocol to prevent multi-agent conflicts
06Automated progress tracking and checkpointing at key milestones
Use Cases
01Refactoring large codebases spanning 3 or more files simultaneously
02Parallel development of frontend, backend, and test suites for a single feature
03Coordinating specialized agents for system design and architecture reviews
