Xuefeng Method

by staruhub

Xuefeng Method is an AI Engineering skill for Claude Code, published by staruhub in ClaudeSkills.

700 stars130 forkson staruhub/ClaudeSkillsAdded 2026/08/23+1% in starsRepository updated 2026/08/13

View source on GitHub Download repo ZIP

agent-skillsai-agentsclaudeclaude-codeclaude-skillsdeep-research

Install in seconds

Install Xuefeng Method

Copy Xuefeng Method into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/staruhub/ClaudeSkills/tree/main/skills/Geek-skills-xuefeng-method ~/.claude/skills/Geek-skills-xuefeng-method

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/staruhub/ClaudeSkills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/Geek-skills-xuefeng-method/SKILL.md in staruhub/ClaudeSkills
Installs to: ~/.claude/skills/Geek-skills-xuefeng-method
Collection: One of 20 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Xuefeng Method does

Xuefeng Method guides AI-native product design when user behavior is open-ended, model decisions drive the core flow, and outputs are probabilistic. Use it to split work across specialized agents, choose models, and set up rapid calibration and drift audits.

Xuefeng Method is cataloged under AI Engineering on DirSkills. Xuefeng Method comes from a repository tagged agent-skills, ai-agents, claude, claude-code and claude-skills.

Documentation

README

Excerpt

雪峰方法论：AI-Native 产品开发实战体系

核心理念：强模型依赖 × 多专精Agent × 快速校准 × 行为审计

来源：雪峰——AI-Native连续创业者，深耕AI日历管理等AI驱动产品。核心洞察：穷举是死循环，唯快不破才是AI-native的生存之道。

与克谦方法论（keqian-method）互为对偶：克谦解决"如何让AI在明确边界内可靠执行"，雪峰解决"当边界本身不确定时怎么办"。

第零步：产品类型判断（必须先做）

在选择任何开发策略之前，先判断你的产品类型。 选错方法论比没有方法论更危险。

类型	特征	关键判断标准	推荐方法
+AI（场景依赖型）	用户行为可枚举，AI辅助执行确定性流程	能列出所有合法输入输出组合	→ keqian-method
AI-native（强模型依赖型）	AI驱动核心决策，用户行为开放式	用户的下一步操作你无法预测	→ 本skill
混合型	核心流程确定，部分环节AI-native	能拆分出哪些模块是确定的、哪些是开放的	→ 两者结合，按模块选用

快速判断清单

回答以下问题，如果3个以上答"是"，你大概率是AI-native：

用户的输入是自由文本/语音，而非选择菜单？
同一输入，你希望AI给出不同风格的输出？
用户会因为AI的回答方式而改变自己的后续行为？
你无法为产品写出完整的功能测试用例集？
产品的核心价值在于AI的"判断"而非"执行"？

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Xuefeng Method

What else does staruhub publish alongside Xuefeng Method?
Xuefeng Method is one of 20 skills that DirSkills catalogs from staruhub/ClaudeSkills, the repository it ships in. Its siblings there include A-Share Analyst, AI Sales Champion and C Drive Cleaner. Each one is a separate skill with its own page in this directory, installs the same way Xuefeng Method does, and is maintained by staruhub in that same repository. The rest of the collection is listed on the staruhub/ClaudeSkills page.
How does Xuefeng Method compare to other AI Engineering skills?
Xuefeng Method ranks #1732 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Xuefeng Method against them. Open each page to compare what they document and how they install.