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mma-orchestrate

Orchestrate multi-phase frontend workflows with session-persistent structured prompts and outputs.

5|4|Updated Apr 9, 2026
Search Tags:#workflow#frontend#llm#session#structured-output#orchestrate
One-click install
npx skills add https://github.com/zhixuan312/multi-model-agent --skill mma-orchestrate
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mma-orchestrate
Source: https://github.com/zhixuan312/multi-model-agent/tree/main/packages/server/src/skills/mma-orchestrate
Command: npx skills add https://github.com/zhixuan312/multi-model-agent --skill mma-orchestrate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate multi-phase frontend workflows by providing a session-persistent, high-quality LLM brain that processes structured prompts and returns structured outputs, enabling continuity across explore, spec, plan, and execute phases.

Core Features & Use Cases

  • Session-persistent orchestration across multiple workflow phases for consistent context
  • Structured input prompts and predictable, machine-parseable outputs
  • Use cases include exploratory analysis, requirements specification, planning, and execution coordination

Quick Start

Start by supplying a multi-phase prompt and allow mma-orchestrate to maintain session continuity and produce a structured result.

Frequently Asked Questions about mma-orchestrate

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

FAQPage Schema
How do I maintain LLM session continuity across multi-phase frontend workflows?▼

To orchestrate multi-phase workflows, you supply a structured prompt and the session-persistent LLM brain maintains context continuity across explore, spec, plan, and execute phases while returning predictable, machine-parseable structured results.

What is LLM-powered workflow orchestration for frontend-driven scenarios?▼

LLM-powered workflow orchestration coordinates multi-phase frontend scenarios by maintaining a session-persistent LLM brain that processes structured prompts and returns machine-parseable structured outputs across workflow phases.

How do I get structured output from an LLM in a single API call for a planning phase?▼

To get structured output in a single API call, use an orchestration skill that enforces explicit response formatting and session reuse, satisfying requirements for self-contained prompts and predictable, machine-parseable results.

Can I use workflow orchestration to move through explore, spec, plan, and execute phases?▼

Yes, workflow orchestration supports moving through explore, spec, plan, and execute phases. It applies to frontend-driven scenarios by maintaining session continuity and producing structured outputs across each phase.

Do I need any external dependencies to run session-persistent LLM orchestration?▼

No external dependencies are required to run session-persistent LLM orchestration. It operates self-contained, requiring only structured input prompts to produce structured results in a single API call.

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