master-skill

Distill an industry-specific cognitive operating system into a runnable Master OS skill.

114|12|Updated May 18, 2026
One-click install
npx skills add https://github.com/swaylq/master-skill --skill master-skill-swaylq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: master-skill
Source: https://github.com/swaylq/master-skill/tree/main
Command: npx skills add https://github.com/swaylq/master-skill --skill master-skill-swaylq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

大师.skill 帮你把“你做的细分行业”蒸馏成可直接加载的行业 Master OS:让你的 AI agent 在该领域里具备行业心智模型、决策规则、工作流与工具选型能力,而不是停留在泛泛的聊天或百科式总结。

Core Features & Use Cases

  • 行业 Agentic Protocol 研究维度:收到问题先按行业方式做调研与验证,再输出判断与结论。
  • 心智模型 + 标准 Playbook + 工作流:把资深人的“怎么想、怎么决策、怎么做”结构化为可复用 OS。
  • 工具与 CLI 套件(bash):把关键步骤物化成可执行命令行脚本,便于快速上手与反复执行。
  • 更新与质量护栏:支持按衰减窗口(如 3-6 月工具/工作流、1-2 年心智模型)增量更新,并通过质量门控降低编造风险。

Quick Start

向安装了大师.skill 的 agent 发送指令:造大师 LLM agent 基础设施 master skill。

Frequently Asked Questions about master-skill

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

FAQPage Schema
How do I create an industry-specific cognitive operating system for my AI agents?

To create an industry-specific cognitive operating system, this Skill distills your niche into a runnable Master OS, equipping AI agents with domain mental models, decision rules, and workflows instead of generic summaries.

How do I structure expert decision playbooks and workflows into a reusable OS?

Structuring expert decision playbooks involves distilling how senior professionals think and act into reusable mental models and standard operating procedures, enabling AI agents to consistently replicate domain-specific decision-making.

How does source verification work when researching an industry mental model?

Source verification during industry mental model research works by applying an Agentic Protocol that conducts structured research with built-in quality gates, actively lowering the risk of fabricated information and ensuring validated outputs.

How do I package industry workflows into a bash CLI suite for automated execution?

Packaging industry workflows into a bash CLI suite materializes key operational steps into executable command-line scripts, allowing users to rapidly deploy and repeatedly execute domain-specific processes within their environment.

When should I perform incremental updates on distilled industry workflows and mental models?

Incremental updates on distilled industry workflows and mental models should be performed based on decay windows, typically updating tools and workflows every 3-6 months and mental models every 1-2 years to maintain accuracy.