Individual skill
yao-expert-skill
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.
skills/yao-expert-skill/SKILL.md
Source commit 5126d4b5500a2f7d447fbe453297507d200b042e
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,327
- Repository last updated
- Oct 14, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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Browse files
README.mddoc · 4,594 bytesSKILL.mdcore · 6,984 bytesSKILL.mdcore · 6,984 bytesSKILL.mdcore · 6,984 bytesSKILL.mdcore · 6,984 bytesSKILL.mdcore · 6,984 bytesSKILL.mdcore · 6,984 bytesSKILL.mdcore · 6,984 bytesSKILL.mdcore · 6,984 bytesSKILL.mdcore · 6,984 bytesagents/interface.yamlasset · 951 bytesevals/semantic_config.jsonasset · 588 bytesevals/trigger_cases.jsonasset · 1,290 bytesinput/expert_brief_template.jsonasset · 597 bytesmanifest.jsonasset · 602 bytesreference-materials/README.mddoc · 1,200 bytesreference-materials/industry_expert_skill_design.docxasset · 49,114 bytesreference-materials/industry_learning_deep_research_report.docxasset · 59,476 bytesreferences/domain-expert-method.mddoc · 14,052 bytesreferences/export-and-layout-quality.mddoc · 4,868 bytesreferences/report-and-tutorial-contract.mddoc · 6,932 bytesreferences/research-and-source-quality.mddoc · 3,361 bytesreports/artifact-design-profile.mddoc · 1,015 bytesreports/examples/README.mddoc · 2,132 bytesreports/examples/geo-china-demo/exports/geo-china-expert-report.docxasset · 51,514 bytesreports/examples/geo-china-demo/exports/geo-china-expert-report.htmlasset · 140,060 bytesreports/examples/geo-china-demo/exports/geo-china-expert-report.mddoc · 66,758 bytesreports/examples/geo-china-demo/exports/geo-china-expert-report.pdfasset · 2,029,990 bytesreports/examples/geo-china-demo/geo-china-expert-report.mddoc · 66,297 bytesreports/examples/storage-industry-demo/exports/storage-expert-sample.docxasset · 31,161 bytesreports/examples/storage-industry-demo/exports/storage-expert-sample.htmlasset · 69,585 bytesreports/examples/storage-industry-demo/exports/storage-expert-sample.mddoc · 32,108 bytesreports/examples/storage-industry-demo/exports/storage-expert-sample.pdfasset · 1,416,239 bytesreports/examples/storage-industry-demo/storage-expert-sample.mddoc · 31,673 bytesreports/output-risk-profile.mddoc · 1,348 bytesreports/prompt-quality-profile.mddoc · 1,298 bytesreports/reference-scan.mddoc · 1,700 bytesreports/sample-domain-expert-report.mddoc · 4,213 bytesscripts/export_expert_report.pyruns · 23,073 bytesscripts/validate_artifacts.pyruns · 16,966 bytestemplates/expert-report-template.mddoc · 10,775 bytestemplates/expert-report.cssasset · 5,192 bytestemplates/report-html-shell.htmlasset · 1,331 bytes
Read excerpt
# Yao Expert Skill
Turn 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.
## Own The Following Job
- Normalize the user's topic into domain, region, purpose, audience, time horizon, output depth, and exclusions.
- Build domain expertise from structure first: boundary, classifications, value chain, actors, demand, supply, competition, lifecycle, policy, technology, capital, risks, and change variables.
- Use authority-first research and separate `fact`, `inference`, `hypothesis`, and `unknown`.
- 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.
- 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.
- 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.
- 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.
- Generate `10` Feynman questions with reference answers and a scoring rubric.