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SKILL.md

yao-expert-skill

Agent skill fromyaojingang/yao-open-skills

Create expert-level learning reports and tutorials from any domain, industry, technology, role, market, product idea, or vague field question. Use when the user wants to quickly build domain expertise, understand an industry, generate a structured expert study report, build a keyword library, design Feynman self-tests, or export the result as Markdown, DOCX, PDF, and HTML. Do not use for short factual answers, pure business model diagnosis, standalone beginner tutorials with no domain-structure research, simple file conversion, or unsourced opinion writing.

How to install yao-expert-skill

install yao-expert-skill
# install the yao-open-skills pack with the skills CLI
npx skills add yaojingang/yao-open-skills

# or add only this skill to Claude Code: copy the folder

skills/yao-expert-skill/

# into

~/.claude/skills/yao-expert-skill/ (all projects)

.claude/skills/yao-expert-skill/ (one project)

skills/yao-expert-skill/SKILL.md

MITFull file
1# Yao Expert Skill
2
3Turn a domain, industry, technology, role, product direction, or fuzzy idea into an expert learning packet: one structured report, one tutorial path, a keyword system, Feynman tests, and four polished export formats.
4
5## Own The Following Job
6
7- Normalize the user's topic into domain, region, purpose, audience, time horizon, output depth, and exclusions.
8- Build domain expertise from structure first: boundary, classifications, value chain, actors, demand, supply, competition, lifecycle, policy, technology, capital, risks, and change variables.
9- Use authority-first research and separate `fact`, `inference`, `hypothesis`, and `unknown`.
10- Generate `50-100` keyword teaching cards. Each keyword must include a plain-language one-liner, concept explanation, bottom logic, real example, practical application, role/effect, related people/companies/institutions when relevant, common misconception, and evidence.
11- Explain difficult concepts and underlying logic with simple analogies plus real domain examples, so a newcomer can understand how the field works rather than only memorize terms.
12- Begin every report with a reader-facing `导读摘要` that introduces the learning material, highlights, reading path, and structural logic before the formal report sections.
13- Write each major module with a natural introductory paragraph and transitions before tables, so the report reads as coherent learning material instead of a hard glossary or matrix dump.
14…

Excerpt shown under the repository's MIT license.

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