master-control-expert

Classify requests into governance-backed workflows with control plans and decision logs.

10|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/zhuangbiaowei/master-control-expert --skill master-control-expert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: master-control-expert
Source: https://github.com/zhuangbiaowei/master-control-expert/tree/main
Command: npx skills add https://github.com/zhuangbiaowei/master-control-expert --skill master-control-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires .

What problem does it solve?

Master Control Expert (MCE) provides a structured framework to transform unstructured requests into executable, governance-backed workflows, ensuring consistent classification, planning, and deliverables.

Core Features & Use Cases

  • Mandatory intake: run the universal intake checklist to capture context, constraints, and inputs.
  • Category classification: map requests to A–H (or Other) categories and generate an actionable control plan.
  • Prompt catalog execution: apply the relevant skeletons to produce artifacts, decision logs, runbooks, and success criteria.
  • Self-evolution: trigger new-category or prompt-improvement workflows based on usage and feedback.
  • Concrete deliverables: produce files, data blocks, and step-by-step instructions ready for immediate handoff.

Quick Start

Provide a task description and let MCE classify it, run intake, and produce a control plan with concrete deliverables.

Frequently Asked Questions about master-control-expert

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

FAQPage Schema
How do I turn unstructured requests into governed workflows?

To turn unstructured requests into governed workflows, you classify the request into A–H categories, run a mandatory universal intake checklist, and generate an actionable control plan with artifacts and decision logs.

What is a universal intake checklist for workflow governance?

A universal intake checklist for workflow governance captures context, constraints, and inputs before execution, ensuring requests are classified and mapped to an actionable control plan with concrete deliverables.

How do I generate decision logs and artifacts from a task description?

You generate decision logs and artifacts by applying prompt-skeleton execution from the prompt catalog to the classified task, producing files, data blocks, and step-by-step instructions for immediate handoff.

Can I create new workflow categories based on usage and feedback?

Yes, you can create new workflow categories through self-evolution triggers that initiate new-category or prompt-improvement workflows based on ongoing usage and feedback.

What deliverables should I expect from a governance-backed control plan?

Deliverables from a governance-backed control plan include concrete files, data blocks, step-by-step instructions, runbooks, decision logs, and success criteria ready for immediate handoff.

Does this workflow governance approach require specific dependencies?

No specific dependencies are required; the framework applies universal intake and category classification across A–H categories to produce governance-backed workflows and artifacts independently.