fleet-commander

Coordinate multi-task batches across agents with dependency analysis and dynamic model routing.

6|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/anotherben/claude-harness --skill fleet-commander
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fleet-commander
Source: https://github.com/anotherben/claude-harness/tree/main/skills/fleet-commander
Command: npx skills add https://github.com/anotherben/claude-harness --skill fleet-commander

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Fleet Commander addresses the complexity of coordinating multiple tasks across agents by providing automated orchestration, dependency analysis, and controlled dispatch workflows.

Core Features & Use Cases

  • Phase-based intake and dependency analysis to group tasks into workstreams
  • Dynamic model routing (Opus/Sonnet/Haiku/Worker), per-task worktrees, and parallel dispatch
  • Use Case: when you have several tasks to run concurrently while preserving isolation and governance

Quick Start

Install Fleet Commander and run the onboarding flow to enable fleet dispatch for multi-task batches

Frequently Asked Questions about fleet-commander

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

FAQPage Schema
How do I orchestrate multiple tasks in parallel across different models?

Multi-task orchestration coordinates batches across agents by applying dependency analysis, dynamic model routing, and per-task worktree isolation to optimize execution and merge coordination.

When do I need per-task worktrees for agent dispatch?

Per-task worktrees are needed when multiple tasks require strict isolation during parallel execution, ensuring gated fleet workflow governance and deterministic merge coordination across workstreams.

How do I route tasks dynamically between Opus, Sonnet, and Haiku models?

Dynamic model routing allocates tasks across Opus, Sonnet, Haiku, and Worker agents based on dependency analysis and task complexity, optimizing model allocation within a gated dispatch workflow.

How do I analyze task dependencies to group work into parallel workstreams?

Phase-based intake performs dependency analysis to group tasks into concurrent workstreams, enabling parallel dispatch while preserving governance across the fleet execution lifecycle.

Does fleet dispatch support gated workflows with hooks for state management?

Fleet dispatch supports gated workflows with hooks and fleet state management, providing controlled execution coordination and deterministic merge coordination across multi-task batches.

What is the best way to manage multi-task batches with deterministic merge coordination?

Deterministic merge coordination manages multi-task batches by combining phase-based intake, per-task worktree isolation, and gated fleet workflow hooks to ensure controlled dispatch and execution.