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 transmit 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 industry chain scope and research starting point
First clarify the industry chain scope covered by this research:
- Which industry chain is being researched
- Which segment or which company the user is more focused on
- Whether the goal is to look for opportunities, verify prosperity, or identify risks
- Whether the observation cycle 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 industry chain before analysis, to avoid isolated judgment.
Step 2: Build the industry chain structure diagram
Break down the industry chain into key segments, and explain the function and value capture method of each segment, usually including:
- Upstream resources, raw materials, or core components
- Midstream manufacturing, integration, platform, or distribution segments
- Downstream end 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 in sync
- 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 in each segment should correspond to verifiable variables as much as possible, avoiding remaining at abstract judgments.
Step 4: Analyze transmission paths and rhythm mismatches
Industry chain opportunities often come from the sequence of transmission. Focus on explaining:
- Which segment current prosperity changes appear 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 occur in reverse
- Which segments will show mismatches such as "revenue improves first, profit improves later" or the opposite
Step 5: Extract the beneficiaries, parties under pressure, and key verification points in the chain
After the transmission path is clear, extract:
- The segments and representative companies that currently benefit most directly
- The segments that may be suppressed 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 are first exposed
Step 6: Form the final industry 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 kind of surface prosperity to avoid. The finished draft only presents the chain structure, key variables, transmission conclusions, and observation framework.
Output structure
{Industry chain name} signal review ({YYYY-MM-DD})
1. 30-second conclusion
- Currently strongest link: {content}
- Currently weakest link: {content}
- Where value is currently transmitting to: {content}
- The chain opportunity most worth tracking now: {content}
2. Industry chain structure diagram
| Link | Main role | Key variables | Current status |
|---|---|---|---|
| Upstream | {content} | {content} | {judgment} |
| Midstream | {content} | {content} | {judgment} |
| Downstream | {content} | {content} | {judgment} |
3. Core signals of the chain
- Price signal: {content}
- Order/shipment signal: {content}
- Inventory signal: {content}
- Profit signal: {content}
4. Transmission path and pace judgment
- Current starting point of transmission: {content}
- Links that may benefit next: {content}
- Reasons transmission may be interrupted: {content}
5. Benefit and risk mapping
- Beneficiaries: {content}
- Parties under pressure: {content}
- Key verification points: {content}
6. 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"; it cannot merely be an industry overview.
- The value anchor point and transmission direction must be clear, and all links must not be treated equally.
- It is necessary to distinguish prosperity that has already been realized from expectations not yet realized, to improve the actionability of the judgment.
- If chain signals conflict with one another, the points of conflict should be clearly stated rather than forcibly unified.
- The output should directly serve chain research, comparison of opportunities across links, and verification of changes in prosperity.