Duan Yongping Multidimensional Investment and Business Logic Analysis
Paste the following prompt into your AI chat to install this skill:
Please install @user_d386152a/duanyongpingtouzi according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
When a user asks what to think of a ticker or how to handle an existing position, the issue is usually not missing one price. It is the lack of a repeatable decision framework. Price, valuation, technicals, management, and long-term cash flow are scattered across sources, so each answer tends to become a one-off note instead of a structured review. This skill turns Duan Yongping's investment and business logic notes into a concrete analysis workflow.
How It Works
The skill starts by requesting key inputs: current price, daily change, 52-week range, TTM PE / Forward PE, RSI / 200-day moving average deviation, recent material events, earnings, and management updates. If the user has a position, it also needs allocation and unrealized P&L. It then reads references/duan.md, loading the core principles, six-dimension scoring framework, and output template. Analysis proceeds dimension by dimension: business model, corporate culture, circle of competence fit, price and valuation, Stop Doing List, and long-term certainty. Each dimension requires a fact-based explanation, a 1-10 score, and the reasoning behind that score. The final step computes a weighted score, identifies the strongest and weakest dimensions, applies veto checks, and produces an action recommendation with a history archive.
Boundaries
The skill is for ticker analysis, position review, and two-asset comparison. It does not replace live market data, audit-grade financial verification, or personalized financial advice. If critical data is missing, the conclusion should be marked low-confidence. If red lines such as shorting, leverage, or assets outside the circle of competence are triggered, the Stop Doing List should take priority.
Use Cases
- Before buying a ticker, structure price, PE, RSI, and 52-week data into a checklist, then score the six dimensions.
- When holding a position, review the original thesis, re-score all six dimensions, and assess opportunity cost before recommending action.
- When comparing two tickers, run the same six-dimension scoring separately and produce a side-by-side comparison table.
- When writing an investment review, archive earnings, management updates, and material events into a dated analysis file.
Best For
- Individual investors who use value frameworks and need to break business model, moat, and management integrity into scored items.
- Portfolio managers who need periodic position reviews and action recommendations instead of relying only on price and technicals.
- Finance writers who want to compare two companies under the same six-dimension framework and produce a consistent conclusion.
- Independent researchers who need to archive investment analysis as structured, reusable review notes.
Related Skills
Reviews Chinese-law contract text via the accurLex API, returns the full review opinion, and exports a Word document.
Generates executable FAERS active-comparator safety comparison research plans focused on one SOC or PT family.
A reference framework for financial data analysis covering statements, KPIs, visualization, and reporting templates, without executing code or collecting data.
A knowledge-base-driven advisor for weak-current, network, and telecom equipment selection, covering parameter comparison, model recommendations, compatibility checks, and budgeting.