dbs-diagnosis: an Agent Skill for Business Model Diagnosis

Where this fits

Your agent is in a customer-support, coaching, or founder-advice conversation. A user types “I have a business question” or “diagnose my business model.” A generic LLM will immediately produce a balanced answer. That answer can be worse than none: it reinforces the user's flawed framing. dbs-diagnosis fits before that moment. It switches the agent into a diagnosis mode: consultation to dissolve the question, or checkup to decompose the business model. The skill is built on dontbesilent's ontological framework and has been used in 8,000+ paid business-question sessions. It gives your agent a structured way to reject incorrect questions instead of answering them. This is the kind of opinionated skill worth browsing on OpenAgentSkill: https://www.openagentskill.com/skills/pluviobyte-dbs-diagnosis.

Why agents benefit

• Your agent stops being a yes-and machine. It can tell a founder their question is invalid and explain why, based on six explicit axioms rather than generic consulting language.
• It routes naturally between two workflows: consultation (question dissolves) and checkup (model decomposition), with a clear Phase 0 mode selection.
• It forces pricing and unit-economics reasoning: pricing is product, traffic is not income, and promotional vs. margin products should be priced 5-15x apart.
• It avoids moralizing. The skill treats bad behavior as a symptom of a bad business model, giving agents a non-judgmental way to recommend structural change.
• It produces a diagnosis artifact, not a paragraph of advice, which the larger agent can log, review, or escalate.

Practical scenarios

Pre-launch side project check

A developer building an AI wrapper asks “Should I improve model quality or add features?” Instead of a feature debate, the skill runs a checkup and surfaces that the real constraint is pricing: a $9 entry product and a $10 add-on are not a product ladder. The original question dissolves once pricing is fixed.

Traffic desperation

An e-commerce founder says “How can I get more TikTok followers?” The consultation mode asks whether the business model has a profit engine independent of traffic. It often finds the model incentivizes spam but demands good behavior. The skill proposes replacing the model rather than optimizing reach.

Agent as board advisor

In an agent that handles small-business coaching, a user says “诊断一下我的业务” and the skill chooses checkup mode automatically. It returns a structured breakdown of the model's input requirements, pricing distance, and moral pressure, ready to be delivered as a board-advisory report.

Add it to your agent workflow

Install with the skill CLI:

npx skills add Pluviobyte/rnskill --skill dbs-diagnosis

Then define a route in your agent instructions:

If a user asks /dbs-diagnosis, /问诊, “帮我看看商业模式”, “诊断一下我的业务”, or “I have a business question”, load the dbs-diagnosis skill and follow its Phase 0 mode selection.

The skill opens by asking the user to choose consultation or checkup, then applies the framework from the README.

Compare before adopting

Before wiring this skill into production, compare it with alternatives. Quality signals: 1,421 stars and a README that exposes the full philosophy, so you can inspect the axioms before installing. Maintenance freshness: check whether the repository is active and whether the skill definitions have been updated recently; stale business frameworks can encode expired assumptions. Alternatives: generic business-coach prompts are more flexible, but they lack dbs-diagnosis's opinionated constraint that most questions are wrong. Workflow fit: this skill works best as a gated utility for suspected business questions, not as a permanent persona for every conversation.

Why it is worth tracking

The signal here is specificity. dbs-diagnosis is not a chat persona; it is a framework with a strong worldview that changes how an agent treats business problems. With 1,421 stars and a philosophy that drove 8,000+ paid interactions, it shows demand for opinionated domain skills. Track it if you build coaching, finance, or startup-advice agents. Re-evaluate after a few months: if the framework grows, it could become the default business module for agent skill stacks; if it stalls, the axioms still serve as a compact prompt-level checklist.