claude-orchestrate

Coordinate multi-agent development workflows by managing task queues and roadmap sequencing.

2|Updated Jan 13, 2026
One-click install
npx skills add https://github.com/erclx/aitk --skill claude-orchestrate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-orchestrate
Source: https://github.com/erclx/aitk/tree/main/claude/skills/claude-orchestrate
Command: npx skills add https://github.com/erclx/aitk --skill claude-orchestrate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of fragmented AI agent sessions by providing a single, authoritative orchestrator that manages project state, task sequencing, and cross-feature planning.

Core Features & Use Cases

  • Task Orchestration: Maintains the priority queue and roadmap, ensuring agents work on the right tasks in the correct order.
  • Parallelism Management: Analyzes file dependencies to safely coordinate multiple worker sessions without conflicting edits.
  • Review & Handoff: Facilitates deep PR reviews and manages the transition of planned features to worker sessions.

Quick Start

Invoke the orchestrator to analyze the current project state and provide a summary of the roadmap and ready-to-build tasks.

Frequently Asked Questions about claude-orchestrate

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

FAQPage Schema
How do I coordinate parallel AI agent workflows without conflicting file edits?

Parallel AI agent workflows are coordinated by analyzing file dependencies to safely manage multiple worker sessions. The orchestrator synchronizes execution constraints across independent sessions to prevent conflicting file edits.

What is centralized AI project orchestration for multi-agent development?

Centralized AI project orchestration provides a single authoritative manager for project state, task sequencing, and cross-feature planning. It coordinates multi-agent development workflows by maintaining task queues and roadmap sequencing.

How do I manage task queues and roadmap sequencing for automated development workflows?

Task queues and roadmap sequencing are managed by an orchestrator that synchronizes planning, review, and build cycles. It maintains a priority queue to ensure agents execute tasks in the correct sequential order.

Do I need git-based PR metadata and roadmap documentation to manage AI project state?

Yes, managing AI project state consistency requires access to project task files, roadmap documentation, and git-based PR metadata. The orchestrator operates within the project root to maintain this state.

Can I use this orchestrator to facilitate deep PR reviews and hand off features to worker sessions?

Yes, the orchestrator facilitates deep PR reviews and manages the transition of planned features to worker sessions. It operates within the project root to synchronize review and build cycles across independent agents.

What are the limitations of managing parallel worker sessions in AI project orchestration?

Parallel worker session management relies on analyzing file dependencies to prevent conflicting edits, meaning highly interdependent codebases may restrict safe parallelism. State consistency depends entirely on maintaining accessible task files and git PR metadata.