master-skill

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

114|12|Updated May 18, 2026

Search Tags:#source verification #incremental update #industry distillation #agentic protocol #decision playbook #workflow SOP #bash cli suite

Ready to run

npx skills add https://github.com/swaylq/master-skill --skill master-skill-swaylq

💬 Prompt for ChatGPT / Claude Chat▼

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.