Business Insight Card
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About this skill
Problem
When a user wants to understand how a company makes money, its business structure, core contradictions, or moat, generic answers often mix valuation calls, isolated metrics, and generic industry language. This skill separates business interpretation from valuation matching: it focuses on the business model, revenue sources, moat, core contradictions, and structure without concluding whether the stock is expensive.
How It Works
The workflow calls wm.sh run first to obtain fact sources such as snapshot, sections, and metrics_bar. It then reads enrich_plan.required_reads for the industry lens and workflow context, and produces output according to output-skeleton. The design principle is XS = facts + Gate and Pack = narrative + lens + Verify, meaning the agent should not alter numbers or enrich_plan, but translate verifiable data into a buyer-perspective narrative. Tables are used only when at least two rows share the same metric basis; cash-flow types are excluded to avoid fragmented indicator comparison.
Boundaries
It is suitable for questions like “What is the business DNA? What is the core contradiction? Where is the pricing position?” It is not suitable for valuation, current price, revenue-by-segment queries, or a one-page company overview. The skill explicitly warns against using render or markdown_skeleton as the final article, and against delivering raw JSON tables as the interpretation.
Use Cases
- Before a research meeting, explain a company's revenue mix, core contradictions, and business DNA.
- While drafting buy-side notes, turn snapshot metrics into a business-model narrative.
- Compare how a company's business structure changed across periods without valuation matching.
- Answer questions about moat and pricing position without judging whether the price is high.
Best For
- Buy-side analysts who need a buyer-perspective explanation of how a company makes money.
- Industry researchers who need core contradictions and business structure based on facts and a lens.
- Investment managers who need to separate business interpretation from valuation.
- Research assistants who need to turn snapshot metrics into a coherent business-model narrative.
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