claude-devfleet
OfficialOrchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
--- name: claude-devfleet description: Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports. origin: community --- # 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: ```bash 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) | | `
Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-52c12760-7f1f-4996-b814-ac0a9522c05d",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
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