Claude Devfleet

by affaan-mef648e01899bNo license275K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 days ago

Claude DevFleet経由でマルチエージェントコーディングタスクをオーケストレーション — プロジェクトを計画し、分離された作業ツリー内で平行エージェントを派遣し、進捗を監視し、構造化レポートを読む。

Instructions onlyAI & AgentsSoftware Development
AI-generated overview

Orchestrates parallel Claude Code agents through a running Claude DevFleet instance to complete multi-mission coding projects.

What it does
This skill guides an agent through planning a coding project into a chain of missions, dispatching parallel Claude Code agents that work in isolated git worktrees, monitoring their progress, and reading structured completion reports. It documents DevFleet MCP tools such as plan_project, create_mission, dispatch_mission, get_mission_status, and get_report. The output is an orchestrated set of coding missions with merged results and a report covering files changed, work done, errors, and next steps.
When to use it
Use it when a coding task should be split across multiple Claude Code agents working in parallel. It fits projects where missions have dependencies and results should be merged automatically. It requires an already running Claude DevFleet instance reachable over MCP.
Requirements
A running Claude DevFleet instance connected over MCP, for example via the claude mcp add command with an HTTP transport endpoint. Network access to that MCP endpoint. No scripts ship with the skill; it is instructions only.

Claude DevFleet マルチエージェント オーケストレーション

使用時期

このスキルは、複数のClaude Codeエージェントをコーディングタスクで並行して作業するように派遣する必要があるときに使用します。各エージェントは完全なツール機能を備えた分離されたgit作業ツリーで実行されます。

実行中のClaude DevFleetインスタンスが必要で、MCP経由で接続：

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

動作方法

User → 「認証とテスト付きのREST APIを構築」  ↓plan_project(prompt) → project_id + mission DAG  ↓計画をユーザーに表示 → 承認を取得  ↓dispatch_mission(M1) → エージェント1は作業ツリーで生成  ↓M1完了 → 自動マージ → M2を自動派遣（M1に依存）  ↓M2完了 → 自動マージ  ↓get_report(M2) → files_changed、what_done、errors、next_steps  ↓ユーザーに報告する

ツール

ToolPurpose
plan_project(prompt)AIが説明をミッションチェーン付きプロジェクトに分割
create_project(name, path?, description?)プロジェクトを手動で作成、project_idを返す
create_mission(project_id, title, prompt, depends_on?, auto_dispatch?)ミッションを追加。depends_onはミッションIDの文字列のリスト。auto_dispatch=trueで依存関係が満たされたとき自動開始。
dispatch_mission(mission_id, model?, max_turns?)ミッション上でエージェントを開始
cancel_mission(mission_id)実行中のエージェントを停止
wait_for_mission(mission_id, timeout_seconds?)ミッション完了までブロック
get_mission_status(mission_id)ブロックなしでミッション進捗をチェック
get_report(mission_id)構造化レポートを読む
get_dashboard()システム概要：実行中のエージェント、統計
list_projects()すべてのプロジェクトをブラウザ
list_missions(project_id, status?)プロジェクト内のミッションをリスト

ワークフロー

  1. 計画：plan_project(prompt="...")を呼び出す → project_id + ミッションリスト
  2. 表示：ユーザーにミッション計画を表示
  3. 派遣：最初のミッションでdispatch_mission()を呼び出す
  4. 監視：get_mission_status()で進捗をチェック
  5. 報告：get_report()で完了時の報告

例

フル自動：計画と起動

  1. plan_project(prompt="...")
  2. 最初のミッションをDispatch
  3. 残りのミッションは依存関係に基づいて自動Dispatch
  4. 完了したらユーザーに報告

Source and attribution

Source:affaan-m/eccindocs/ja-JP/skills/claude-devfleetat commitef648e0

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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