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fan-out

Decompose tasks into independent subtasks and dispatch them to parallel agents.

60|2|Updated Jan 21, 2026
Search Tags:#automation#agent#orchestration#task decomposition#parallelism#fan-out
One-click install
npx skills add https://github.com/ElliotJLT/Claude-Skill-Potions --skill fan-out
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fan-out
Source: https://github.com/ElliotJLT/Claude-Skill-Potions/tree/main/skills/fan-out
Command: npx skills add https://github.com/ElliotJLT/Claude-Skill-Potions --skill fan-out

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the inefficiency of performing related tasks sequentially by orchestrating parallel execution. It decomposes work into independent subtasks and dispatches them to parallel agents for concurrent processing.

Core Features & Use Cases

  • Decompose the Task: Break work into discrete, independent subtasks suitable for parallel execution.
  • Spawn Parallel Agents: Launch multiple agents concurrently to tackle subtasks.
  • Collect Results: Gather outputs from all agents in a unified format.
  • Synthesize Insights: Integrate results into a coherent conclusion with cross-subtask patterns.
  • Use Case: Run analyses, research, or tests across multiple topics or items at once to reduce overall turnaround time.

Quick Start

  1. Define independent subtasks and map them to agents.
  2. Spawn the necessary number of parallel agents.
  3. Collect and consolidate results from all agents.
  4. Synthesize findings into a final report.
  5. Review and iterate if new subtasks emerge.

Frequently Asked Questions about fan-out

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

FAQPage Schema
How do I run multiple tasks in parallel instead of one after another?▼

Parallel task execution decomposes work into independent subtasks and dispatches them to multiple agents concurrently, reducing total processing time. This Skill orchestrates that workflow by spawning agents, collecting their results, and synthesizing findings into a unified report.

Can I decompose a large task into smaller independent subtasks and process them at the same time?▼

Yes. Task decomposition breaks work into discrete, independent subtasks with no inter-task dependencies. This Skill dispatches those subtasks to parallel agents, gathers outputs in a unified format, and synthesizes results into a structured report detailing successes and failures.

What's the best way to coordinate research or analysis across multiple topics without waiting for each one to finish?▼

Orchestrate parallel execution by defining independent subtasks mapped to concurrent agents. This Skill spawns the necessary number of parallel agents, collects and consolidates outputs, then synthesizes cross-subtask patterns into a coherent final report.

How do I collect and combine results from multiple concurrent operations into one summary?▼

Result synthesis integrates outputs from parallel agents into a cohesive conclusion. This Skill gathers all agent outputs in a unified format, identifies cross-subtask patterns, and generates a structured report with aggregated findings and any failures encountered.

What limits should I know when spawning parallel agents to process subtasks?▼

Parallel spawning supports explicit limits on concurrent agent count to control resource usage. This Skill manages those constraints during orchestration, ensuring subtasks execute within defined concurrency boundaries while collecting complete results.

When should I use parallel task execution instead of processing items sequentially?▼

Use parallel execution when subtasks are independent with no inter-dependencies—typical for research, analysis, or testing across multiple items or topics. Sequential processing wastes time; orchestrated parallelism reduces overall turnaround by distributing work to concurrent agents.

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