Orchestrate multiple Agent calls in parallel with per-task agent types and worktree isolation.
npx skills add https://github.com/AAbdulghany/fms --skill fan-out-aabdulghany
Please help me install this Agent Skill. Skill: fan-out Source: https://github.com/AAbdulghany/fms/tree/main/.claude/skills/fan-out Command: npx skills add https://github.com/AAbdulghany/fms --skill fan-out-aabdulghany
Spawns multiple specialised agents in parallel so independent work items progress concurrently instead of being serialised behind a single agent's session.
Provide a request that decomposes into multiple independent tasks and invoke the fan-out skill to run them in parallel.
High-intent search queries and answers about installing and using this skill.
To run parallel agents, you provide a user request that decomposes into multiple independent tasks. The fan-out skill orchestrates these tasks concurrently, assigning a specialized agent per task to reduce total execution latency.
Worktree isolation runs code-related tasks in separate worktrees to prevent file conflicts during parallel execution. This mechanism ensures that multiple agents modifying code simultaneously do not overwrite each other's changes.
Yes, parallel orchestration supports per-task agent type selection. You can assign a different specialized agent to each independent task to optimize the execution based on the specific requirements of that task.
Use multitask fan-out when a complex user request decomposes into three or more independent sub-tasks. It allows these concurrent work items to progress simultaneously instead of being serialized behind a single agent session.
Yes, parallel agent execution supports both foreground and background execution modes. The orchestrator applies safety checks to manage these modes, allowing you to coordinate tasks according to your workflow needs.
Worktree isolation is specifically for code-related tasks to prevent conflicts, but it does not merge the results. You must manually integrate the outputs from these independent worktrees after the parallel agents complete their execution.
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