claude-devfleet

Execute parallel coding tasks across isolated git worktrees with dependency-aware mission planning.

Updated Jun 25, 2026
One-click install
npx skills add https://github.com/sumeetonline90/fitup_all --skill claude-devfleet-sumeetonline90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-devfleet
Source: https://github.com/sumeetonline90/fitup_all/tree/main/.cursor/skills/claude-devfleet
Command: npx skills add https://github.com/sumeetonline90/fitup_all --skill claude-devfleet-sumeetonline90

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually coordinating multiple coding tasks, tracking progress across parallel workstreams, and merging isolated changes creates unnecessary bottlenecks and overhead for development teams.

Core Features & Use Cases

  • AI Project Planning: Automatically breaks complex coding prompts into a dependency-aware mission DAG with clear task chains.
  • Parallel Agent Execution: Runs up to 3 concurrent Claude Code agents in isolated git worktrees to avoid environment conflicts and speed up development.
  • Progress Tracking & Reporting: Monitors mission status, auto-merges completed work, and generates structured reports of files changed, errors, and next steps.
  • Use Case: Use this skill to split a full-stack app build into parallel missions for backend API development, frontend UI implementation, and test suite creation, then compile all results into a single summary.

Quick Start

Use the claude-devfleet skill to plan and launch parallel coding agents to build a REST API with user authentication and automated test coverage.

Frequently Asked Questions about claude-devfleet

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

FAQPage Schema
How do I run parallel coding tasks to speed up full-stack feature development?

You can run parallel coding tasks by dispatching up to 3 concurrent Claude Code agents in isolated git worktrees. This parallel development approach eliminates sequential bottlenecks when building full-stack features or refactoring codebases.

How does multi-agent orchestration handle dependency-aware project planning?

Multi-agent orchestration automatically breaks complex coding prompts into a dependency-aware mission DAG. This structures task chains so dependent code is built in correct order before parallel execution begins.

Can I use parallel development to split a full-stack app build into backend and frontend missions?

Yes, parallel development supports splitting full-stack app builds into concurrent missions for backend API development, frontend UI implementation, and test suite creation. Each mission runs in an isolated git worktree to avoid environment conflicts.

What is the best way to monitor progress and merge changes from multiple coding agents?

The best way to monitor multiple coding agents is using real-time progress tracking that auto-merges completed work from isolated git worktrees. It generates structured reports detailing files changed, errors, and next steps.

Do I need git worktrees to orchestrate multiple AI coding agents?

Yes, git worktrees are required to execute multi-agent orchestration safely. They provide the isolated environments necessary to prevent conflicts when up to 3 concurrent agents modify code simultaneously.

Why does sequential development create bottlenecks for coordinated multi-agent effort?

Sequential development creates bottlenecks because manually coordinating multiple coding tasks and tracking progress across workstreams introduces unnecessary overhead. Parallel agent execution with auto-merging eliminates this delay.