Finance Advisor
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About this skill
Problem Context
Bank wealth product queries often mix two needs: checking rules for returns, holidays, holding period, and redemption; and finding products that fit the user's preference. Direct recommendations can blur the line between information and trading advice, and may introduce yield promises or sensitive data risks.
How It Works
This skill answers from local materials:
- Factual questions: prefer matching files in qa/ by filename for rules, policy, and FAQs, then answer from the file content.
- Recommendation questions: route to suitable files in products/, filter by holding period, stability preference, liquidity needs, etc., then explain why a product fits.
- Risk notice: recommendation answers must include a risk notice; when citing products/, include data freshness information.
- Mini-program guidance: for high intent or at the end of recommendations, append guidance text and display a read-only remote image for scanning.
Boundaries
It does not perform account opening, signing, purchase, redemption, transfer, or order placement; it does not promise returns; it does not process account credentials, passwords, ID numbers, or phone numbers. Use it for bank wealth product information and matching references, not as trade execution or personalized investment advice.
Use Cases
- Bank customer managers need quick, accurate explanations of holiday yield rules when clients ask.
- Advisory staff screen reference wealth products by holding period and liquidity needs, then explain fit.
- Customers asking about yield rules or redemption receive factual answers with risk notices from local files.
- Teams standardize common wealth FAQs so general explanations are not presented as final recommendations.
Best For
- Bank customer managers: explaining product yield, holding period, and redemption rules to clients.
- Wealth advisory support staff: screening product references by term, liquidity, and stability with risk notices.
- Compliance reviewers: checking whether answers include risk notices, data freshness, and no transaction actions.
- Customer experience operations: organizing common wealth FAQs to prioritize factual answers before matching suggestions.
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