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munlucky
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moonshot-orchestrator

Analyze user requests and construct optimal agent chains for PM workflows.

Updated Jan 8, 2026
Search Tags:#automation#workflow#agents#orchestrate#task-sequencing#multi-team
One-click install
npx skills add https://github.com/munlucky/claude-settings --skill moonshot-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moonshot-orchestrator
Source: https://github.com/munlucky/claude-settings/tree/main/.claude/skills/moonshot-orchestrator
Command: npx skills add https://github.com/munlucky/claude-settings --skill moonshot-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates the PM workflow by analyzing user requests and constructing the optimal agent chain to automate execution.

Core Features & Use Cases

  • Sequenced execution of PM analysis skills and agent chains
  • Dynamic skill injection and fork-based reviews to adapt to project complexity
  • Team-aware orchestration with optional team routing and cross-project coordination

Quick Start

Provide a user request describing a project and let the orchestrator build and run the optimal agent chain.

Frequently Asked Questions about moonshot-orchestrator

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

FAQPage Schema
How do I automate PM workflows with multi-agent orchestration?▼

Workflow orchestration automates PM execution by analyzing user requests and constructing the optimal agent chain. The system sequences PM analysis skills and coordinates multiple agents to handle complex projects end-to-end.

What is task sequencing and how does it work for multi-team coordination?▼

Task sequencing executes PM analysis skills in ordered steps, supporting both sequential and parallel agent execution. It enables team-aware orchestration with optional team routing and cross-project coordination for multi-team initiatives.

How do I set up dynamic skill injection for complex project workflows?▼

Dynamic skill injection adapts to project complexity by automatically selecting and inserting relevant skills into the agent chain at runtime. Provide a project description as input and the orchestrator builds and runs the optimal chain.

Can I use fork-based reviews to handle agent chain errors during orchestration?▼

Fork-based reviews and robust error recovery are built into the orchestration process. The system applies memory-policy-aware context handling to maintain state and recover from failures across agent chains.

Does multi-agent orchestration work for cross-project coordination across teams?▼

Team-aware orchestration supports cross-project coordination with optional team routing. It handles multi-team initiatives by routing tasks appropriately and managing context across different project boundaries.

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