claude-devfleet

Name: claude-devfleet
Author: affaan-m

Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.

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★ 229,796

来源

GitHub

更新于

2026-07-15

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// 安装

复制安装指令，让 AI 自动完成配置 · 推荐新手

请帮我安装 askskill 上的 "claude-devfleet" 技能：
1. 下载 https://raw.githubusercontent.com/affaan-m/ECC/main/skills/claude-devfleet/SKILL.md
2. 保存为 ~/.claude/skills/claude-devfleet/SKILL.md
3. 装好后重载技能，告诉我可以用了

// 下载

下载 SKILL.md机读安装清单 ↗

// 文档

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.

Setup

The DevFleet server is a separate project, not bundled with ECC. Install and run it from its repository first: https://github.com/LEC-AI/claude-devfleet

Then connect the running instance via MCP:

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

Before first use, verify the process listening on port 18801 is the DevFleet binary you installed (see SECURITY.md on localhost MCP servers).

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
`get_report(mission_id)`	Read structured report (files changed, tested, errors, next steps)
`get_dashboard()`	System overview: running agents, stats, recent activity
`list_projects()`	Browse all projects
`list_missions(project_id, status?)`	List missions in a project

Note on wait_for_mission: This blocks the conversation for up to timeout_seconds (default 600). For long-running missions, prefer polling with get_mission_status every 30–60 seconds instead, so the user sees progress updates.

Workflow: Plan → Dispatch → Monitor → Report

Plan: Call plan_project(prompt="...") → returns project_id + list of missions with depends_on chains and auto_dispatch=true.
Show plan: Present mission titles, types, and dependency chain to the user.
Dispatch: Call dispatch_mission(mission_id=<first_mission_id>) on the root mission (empty depends_on). Remaining missions auto-dispatch as their dependencies complete (because plan_project sets auto_dispatch=true on them).
Monitor: Call get_mission_status(mission_id=...) or get_dashboard() to check progress.
Report: Call get_report(mission_id=...) when missions complete. Share highlights with the user.

Concurrency

DevFleet runs up to 3 concurrent agents by default (configurable via DEVFLEET_MAX_AGENTS). When all slots are full, missions with auto_dispatch=true queue in the mission watcher and dispatch automatically as slots free up. Check get_dashboard() for current slot usage.

Examples

Full auto: plan and launch

plan_project(prompt="...") → shows plan with missions and dependencies.
Dispatch the first mission (the one with empty depends_on).
Remaining missions auto-dispatch as dependencies resolve (they have auto_dispatch=true).
Report back with project ID and mission count so the user knows what was launched.
Poll with get_mission_status or get_dashboard() periodically until all missions reach a terminal state (completed, failed, or cancelled).

…

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