yao-business-skill

name	yao-business-skill
description	Design, diagnose, and study business models from ideas, product websites, or company names. Use when asked to create options for a new idea, audit an existing product's monetization and competitors, or analyze a mature company's model and AI-era upgrade paths. Adjust for market, buyer, and operating environment, then output JSON plus HTML.

Yao Business Skill

Evidence-based business model analysis. Separate facts, estimates, hypotheses, and recommendations.

Use This Skill For

• turning a new idea into 3-5 viable business model options
• diagnosing an existing product, website, or company
• comparing direct competitors and cross-industry analogs
• proposing business model upgrades with formulas, risks, and validation
• studying a mature company to separate reusable from environment-specific patterns

Do Not Route Here

• generic marketing ideation without business model analysis
• standalone legal, tax, accounting, or valuation advice
• pure financial model builds that do not need business model diagnosis
• gray or illegal monetization design; those belong only in risk recognition and avoidance

Workflow

1. Choose the branch: idea_to_model, model_diagnosis, or company_case_study.
2. Build a market_environment profile before recommending pricing, channels, or sales motion.
3. Gather evidence by tier and mark what is confirmed, estimated, assumed, or unknown.
4. Analyze the current or proposed model, including AI as cost driver and monetization lever.
5. Produce branch-appropriate JSON, HTML, and a short narrative summary.

Branch Rules

• For new ideas, generate 3-5 options and include one lower-friction, one higher-margin, and one higher-barrier path.
• For existing products, map current monetization, competitors, analogs, upgrade ideas, and environment fit.
• For mature companies, separate environment advantages from reusable patterns so the reader does not copy context-specific advantages blindly.

Output Contract

• Always distinguish fact, estimate, hypothesis, and recommendation.
• Every revenue line or new monetization path needs formula, low/base/high range, and confidence.
• When competitor benchmarking applies, target at least 10 direct competitors and 10 cross-industry analogs; if not possible, explain the gap.
• Include a market_environment_fit section and an AI leverage and AI disruption section.
• Final artifacts are a concise narrative, a structured JSON payload, and an HTML report.

Reference Map

• Read references/source-foundation.md first for shared objects, evidence tiers, and confidence logic.
• Read references/scenario-playbooks.md for the three analysis branches.
• Read references/market-environment.md before giving region-sensitive advice.
• Read references/report-contract.md before drafting JSON or HTML output.
• Read references/chart-playbook.md before building visual analysis modules.
• Use templates/report.schema.json as the output schema target.
• Use templates/report-skeleton.html as the HTML report base.
• Use scripts/render_report.py when turning report JSON into HTML.
• Read reports/source-synthesis.md only if you need the distilled design rationale from the user's attachments.