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orchestrator

Coordinate 25 specialized AI agents for specification-driven development workflows.

Updated Jan 10, 2026

Search Tags:#workflow #multi-agent #traceability #agent coordination #project-management #orchestrate #specification-driven development

Ready to run

npx skills add https://github.com/Eigo-Mt-Fuji/portfolio-2026 --skill orchestrator-eigo-mt-fuji

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/Eigo-Mt-Fuji/portfolio-2026/tree/main/.claude/skills/orchestrator
Command: npx skills add https://github.com/Eigo-Mt-Fuji/portfolio-2026 --skill orchestrator-eigo-mt-fuji

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Orchestrator coordinates and harmonizes 25 specialized AI agents to execute specification-driven development tasks.

Core Features & Use Cases

Coordination of multiple agents for complex workflows (requirements, design, implementation, testing, deployment)
Dynamic agent selection, task decomposition, and result consolidation to ensure end-to-end delivery
Enforced governance, language preference handling, and traceability throughout the lifecycle

Quick Start

Use the orchestrator to start a full SDLC orchestration: provide a task description and let the system automatically select and coordinate the required agents.

Frequently Asked Questions about orchestrator

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

FAQPage Schema

How do I coordinate multiple AI agents for end-to-end software development workflows?▼

Coordinate multiple agents by using a specification-driven orchestrator that automatically selects and sequences 25 specialized agents across requirements, design, implementation, testing, and deployment stages. The orchestrator handles task decomposition, dependency management, and result consolidation while maintaining full traceability across sequential or parallel execution paths.

Can I use multi-agent coordination for complex development projects with traceability requirements?▼

Yes. Multi-agent orchestration enforces governance, language preferences, and consistent context across project phases, ensuring traceability throughout the entire lifecycle. It adapts to your workflow structure—whether sequential stages or parallel execution—while preserving context across sessions.

What's the best way to decompose large development tasks across specialized agents?▼

Provide a task description to the orchestrator, which dynamically selects appropriate agents, decomposes work into subtasks, manages dependencies between stages, and consolidates results. The system automatically routes work to the 25 specialized agents based on task requirements rather than manual assignment.

How does agent selection and task decomposition work in specification-driven development?▼

Specification-driven development uses the task specification to automatically select agents matching required expertise, break work into logical subtasks, enforce dependency ordering, and consolidate outputs. This approach ensures each stage—requirements through governance—uses the right agent for that phase.

Do I need to manually manage dependencies between development stages?▼

No. The orchestrator automatically manages dependencies across requirements, design, implementation, testing, and deployment phases. It enforces proper sequencing, handles parallel execution where possible, and consolidates results while maintaining consistency and traceability.