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vuthuonghai-steve
vuthuonghai-steveCOMMUNITY
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master-skill

Orchestrate Agent Skill delivery from IDEA to ARCHIVE with natural-language routing and verification.

1|Updated Feb 13, 2026
Search Tags:#workflow automation#agent development#skill management#lifecycle management#standalone routing#intent resolution
One-click install
npx skills add https://github.com/vuthuonghai-steve/KLTN-By_Thuong_Hai-Steve --skill master-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: master-skill
Source: https://github.com/vuthuonghai-steve/KLTN-By_Thuong_Hai-Steve/tree/main/.agent/skills/master-skill
Command: npx skills add https://github.com/vuthuonghai-steve/KLTN-By_Thuong_Hai-Steve --skill master-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the entire lifecycle of creating and managing AI agent skills, from initial concept to final archiving, ensuring a structured and traceable process.

Core Features & Use Cases

  • End-to-End Orchestration: Manages skills through distinct phases: Idea, Design, Task, Implementation, Verification, and Archive.
  • Standalone Operation: Operates independently, resolving user intent through natural language first, with optional /ss:* commands for specific actions.
  • Use Case: A developer needs to create a new AI skill. They can use master-skill to guide them through defining the skill's purpose, designing its architecture, planning tasks, implementing it, verifying its correctness, and finally archiving it as a complete package.

Quick Start

Use the master-skill to explore the design phase for a new skill.

Frequently Asked Questions about master-skill

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

FAQPage Schema
How do I manage the end-to-end lifecycle of AI agent skills?▼

You manage the agent skill lifecycle by orchestrating end-to-end delivery from initial IDEA to ARCHIVE, ensuring structured progression through design, task, implementation, and verification phases.

How does natural-language intent routing work for standalone workflow automation?▼

Natural-language intent routing resolves user requests independently before executing workflow automation, allowing optional slash commands for specific actions without requiring rigid syntax.

What is the best way to structure skill development from idea to archive?▼

The best way to structure skill development is using a deterministic workflow that enforces defined gates and response contracts across design, task, implementation, and verification phases before archiving.

Can I use standalone routing without external dependencies for agent development?▼

Yes, standalone routing operates independently with zero external dependencies, resolving user intent through natural language and optional slash commands to manage the complete skill delivery workflow.

When do I need deterministic verification in skill management?▼

Deterministic verification is needed during the implementation phase of skill management to validate correctness and ensure the skill meets defined response contracts before final archiving.

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