Data dependencies and execution prerequisites
It is recommended to use Wind wind-mcp-skill to obtain underlying data. Before execution, first check whether wind-mcp-skillalready exists locally; if not, prompt the user to install:
# GitHub
npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y
# Gitee 镜像(国内)
npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y
Skill positioning
This skill is used to break down an industry chain into upstream, midstream, downstream, or key segments, identify how prosperity changes are transmitted, and answer "where value currently lies, where it will be transmitted next, which companies benefit, and which companies are at risk." The output focus is not to write a broad industry introduction, but to clearly explain the transmission path, key variables, and mismatch opportunities.
Execution process
Step 1: Confirm the scope of the industrial chain and the research starting point
First clarify the scope of the industrial chain covered by this research:
- Which industrial chain is being studied
- Which segment or which company the user is more focused on
- Whether the goal is to seek opportunities, verify prosperity, or identify risks
- Whether the observation period is short-term price changes or medium-term prosperity trends
If the user provides only one company, it should also first be placed back into its industrial chain before analysis, to avoid isolated judgment.
Step 2: Build the industrial chain structure map
Break down the industrial chain into key segments and explain each segment's function and value capture method, usually including:
- Upstream resources, raw materials, or core components
- Midstream manufacturing, integration, platform, or distribution segments
- Downstream terminal demand, customer structure, and application scenarios
- The key bottleneck segment in the chain that truly determines profit elasticity
The goal of this stage is to first clarify "who supplies whom, who prices whom, and who is most easily affected."
Step 3: Extract the core signals of each segment
Around prosperity and profit transmission, prioritize observing the following signals:
- Whether price changes reflect tightening or easing of supply and demand
- Whether operating clues such as orders, shipments, production scheduling, and capacity utilization improve simultaneously
- Whether inventory changes are active restocking, passive inventory accumulation, or the end of destocking
- Whether gross margin or profit margin improvement comes from volume growth, price increases, or cost declines
- Whether downstream demand changes have already fed back to upstream or midstream
Signals for each segment should correspond as much as possible to verifiable variables, avoiding staying at abstract judgments.
Step 4: Analyze transmission paths and rhythm mismatches
Industrial chain opportunities often come from the sequence of transmission. It is important to explain:
- Which segment the current prosperity change appears in first
- Which segments have already materialized and which segments have not yet been fully priced in by the market
- Why transmission may be interrupted, delayed, or reversed
- Which segments will show the mismatch of "revenue improving first, profit improving later" or the opposite
Step 5: Extract the beneficiaries, pressured parties, and key verification points in the chain
After the transmission path is clear, extract:
- The segments and representative companies that benefit most directly at present
- The segments that may be under pressure and the sources of risk
- If the judgment holds, the verification variables most worth observing next
- If the judgment fails, the position in the chain where problems will first be exposed
Step 6: Form the industrial chain signal draft
The final output should help users see the chain clearly, know which link to watch, which type of signal to trust, and which type of superficial prosperity to avoid. The finished draft should present only the chain structure, key variables, transmission conclusions, and observation framework.
Output Structure
{Industry Chain Name} Signal Review ({YYYY-MM-DD})
I. 30-Second Conclusion
- Currently strongest link: {content}
- Currently weakest link: {content}
- Which segment value is being transmitted to: {content}
- Current chain opportunity most worth tracking: {content}
II. Industry Chain Structure Diagram
| Link | Main Role | Key Variables | Current Status |
|---|---|---|---|
| Upstream | {content} | {content} | {judgment} |
| Midstream | {content} | {content} | {judgment} |
| Downstream | {content} | {content} | {judgment} |
III. Core Chain Signals
- Price signal: {content}
- Order/shipment signal: {content}
- Inventory signal: {content}
- Profit signal: {content}
IV. Transmission Path and Pace Judgment
- Current starting point of transmission: {content}
- Links likely to benefit next: {content}
- Reasons transmission may be interrupted: {content}
V. Benefit and Risk Mapping
- Beneficiaries: {content}
- Parties under pressure: {content}
- Key verification points: {content}
VI. Follow-Up Observation Checklist
- {Observation Point 1}
- {Observation Point 2}
- {Observation Point 3}
Quality Requirements
- Industry chain analysis must reflect the four levels of "structure, signals, transmission, and verification," and must not merely provide an industry overview.
- It should clearly identify the value landing points and transmission direction, and avoid treating all links equally.
- It is necessary to distinguish between prosperity already realized and expectations not yet realized, to improve the operability of judgments.
- If chain signals conflict with one another, the points of conflict should be clearly stated rather than forcibly unified.
- The output should directly support chain research, comparison of link opportunities, and verification of prosperity changes.