claude-devfleet

Claude DevFleet Multi-Agent Orchestration

When to Use

Use this skill when you need to dispatch multiple Claude Code agents to work on coding tasks in parallel. Each agent runs in an isolated git worktree with full tooling.

Requires a running Claude DevFleet instance connected via MCP:

claude mcp add devfleet --transport http http://localhost:18801/mcp

How It Works

User → "Build a REST API with auth and tests"
  ↓
plan_project(prompt) → project_id + mission DAG
  ↓
Show plan to user → get approval
  ↓
dispatch_mission(M1) → Agent 1 spawns in worktree
  ↓
M1 completes → auto-merge → auto-dispatch M2 (depends_on M1)
  ↓
M2 completes → auto-merge
  ↓
get_report(M2) → files_changed, what_done, errors, next_steps
  ↓
Report back to user

Tools

Tool	Purpose
plan_project(prompt)	AI breaks a description into a project with chained missions
create_project(name, path?, description?)	Create a project manually, returns project_id
create_mission(project_id, title, prompt, depends_on?, auto_dispatch?)	Add a mission. depends_on is a list of mission ID strings (e.g., ["abc-123"]). Set auto_dispatch=true to auto-start when deps are met.
dispatch_mission(mission_id, model?, max_turns?)	Start an agent on a mission
cancel_mission(mission_id)	Stop a running agent
wait_for_mission(mission_id, timeout_seconds?)	Block until a mission completes (see note below)
get_mission_status(mission_id)	Check mission progress without blocking

Workflow: Plan → Dispatch → Monitor → Report

Concurrency

Examples

Full auto: plan and launch

Manual: step-by-step control

Sequential with review

Guidelines