From design-agent-orchestration
Decomposes complex user goals into subtasks for multi-agent systems using sequential, parallel, hierarchical, conditional, and iterative strategies. Covers granularity, ambiguity handling, and design artifacts.
npx claudepluginhub owl-listener/ai-design-skills --plugin design-agent-orchestrationThis skill uses the workspace's default tool permissions.
Users come with goals, not subtasks. Task decomposition is how a multi-agent system breaks a complex user goal into pieces that individual agents can handle — and then reassembles the results into something coherent.
Plans complex multi-step tasks into dependency graphs with parallel batches, atomic subtasks, and optimal ordering. Outputs structured plans only; requires explicit user confirmation before execution.
Orchestrates complex tasks via autonomous sub-agents: decomposes into subtasks, generates dynamic SKILL.md files, spawns agents with file-based communication, monitors progress, consolidates results.
Decomposes complex tasks into parallel units, designs dependency graphs with blockedBy/blocks, and coordinates multi-agent teams via task descriptions and workload balancing. For agent workflows and progress monitoring.
Share bugs, ideas, or general feedback.
Users come with goals, not subtasks. Task decomposition is how a multi-agent system breaks a complex user goal into pieces that individual agents can handle — and then reassembles the results into something coherent.
For each type of user goal the system handles:
How finely to decompose matters:
User goals are often ambiguous. The system needs to: