Core Orchestrator Skill

Orchestrate multi-skill pipelines for development, testing, and deployment workflows.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/Lizhiyu-foshan/Multi-Agent-Pipeline --skill core-orchestrator-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Core Orchestrator Skill
Source: https://github.com/Lizhiyu-foshan/Multi-Agent-Pipeline/tree/main/.skills/orchestrator
Command: npx skills add https://github.com/Lizhiyu-foshan/Multi-Agent-Pipeline --skill core-orchestrator-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Centralizes control for complex, long-running development workflows by evaluating task intent and complexity, selecting execution paths, dynamically loading skills, coordinating concurrent execution, and producing final reports so teams avoid manual orchestration and context switching.

Core Features & Use Cases

  • Task complexity evaluation: Scores tasks on a 1–10 scale to select appropriate processing routes.
  • Execution path selection & dynamic loading: Chooses simple, complex, or auto paths and loads adapters or skills at runtime.
  • Pipeline lifecycle & PDCA loops: Manages INIT → ANALYZE → PLAN → EXECUTE → CHECK → DECIDE cycles with checkpointing and recovery.
  • Model routing and concurrency: Routes model categories (QUICK/STANDARD/DEEP/ULTRABRAIN) and runs tasks in parallel via a ParallelExecutor.
  • Use Case: Automate the end-to-end build, test, and deployment of a service by creating a pipeline, executing phases, collecting reports, and iterating with PDCA.

Quick Start

Create a pipeline to build a REST API for user authentication with JWT and advance it through one execution cycle.

Frequently Asked Questions about Core Orchestrator Skill

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

FAQPage Schema
How do I orchestrate multi-skill pipelines for complex deployment workflows?

You can orchestrate multi-skill pipelines by evaluating task intent, selecting execution paths, and dynamically loading skills to manage complex development, testing, and deployment workflows with lifecycle control. It coordinates concurrent execution and produces final reports.

What is a PDCA pipeline lifecycle and how does it manage long-running automated tasks?

A PDCA pipeline lifecycle manages long-running automated tasks through INIT, ANALYZE, PLAN, EXECUTE, CHECK, and DECIDE cycles. It applies checkpointing and recovery to handle concurrent execution and human-in-the-loop checkpoints for complex workflows.

How do I manage model routing and concurrency in a CI/CD pipeline?

Model routing and concurrency in a CI/CD pipeline are managed by routing model categories like QUICK, STANDARD, DEEP, or ULTRABRAIN, and executing tasks in parallel via a ParallelExecutor to handle concurrent operations efficiently.

Can I use dynamic skill loading to select execution paths based on task complexity?

Yes, you can use dynamic skill loading to select execution paths based on task complexity. The system scores tasks on a 1 to 10 scale to choose simple, complex, or auto paths and loads adapters or skills at runtime.

What is the best way to automate build, test, and deployment cycles with checkpoint recovery?

The best way to automate build, test, and deployment cycles is to create a pipeline that executes phases, collects reports, and iterates with PDCA loops. This approach uses checkpointing and recovery to manage execution lifecycle and avoid manual orchestration.