Introduction

When you feed a stock’s K-line chart to a general model, it typically provides a static description based on indicators like moving averages or price fluctuations. It rarely tells you “which phase of the trend we are currently in, and whether you should continue to hold.” However, the real decision-making problem for retail investors is precisely the latter: you already have a position in your account, and what you need is a phase judgment + corresponding action, not a generic technical commentary.

The Skill introduced below is designed for this scenario: Stock Main Force Trading Techniques and Retail Investor Holding Strategy Suggestions, located at @user_87147e36/k-line-stage-analyzer, version 1.0.0. It comes from the SkillHub community (source tagged as community), is categorized as professional, and is published by user_87147e36. It breaks down trends into four K-line patterns (Uptrend / Oscillation / Downtrend / Crash), judges the current phase first, and then provides corresponding holding strategies.

What is this

In one sentence: A trend phase analysis Skill designed for “individual stock holding decisions,” which pulls in three layers of data—market index, sector, and individual stock—to output phase judgments and holding strategy suggestions.

It solves the step between “seeing the K-line” and “knowing how to handle the position.” It does not replace market quotation software, nor does it predict buy/sell points; the output is phase classification plus strategy suggestions.

Core Functions

  1. Trend Phase Judgment: Determines the current phase of the stock among the four K-line patterns: Uptrend, Oscillation, Downtrend (slow decline), and Crash (plummet).
  2. Three-Layer Data Support: Automatically fetches data from the market index, sector, and individual stock layers to corroborate the phase judgment, rather than looking only at the individual stock’s K-line.
  3. Holding Strategy Output: Provides corresponding holding strategies based on the determined phase, answering questions like “Should I hold?” or “Is it a shakeout or distribution?”
  4. Main Force Behavior Analysis: Deduces behavioral patterns around main force (smart money) trading techniques to distinguish between shakeouts (washing out weak holders) and distribution (selling off).

Trigger words (officially provided): Analyze this stock, K-line phase analysis, Trend phase judgment, Holding strategy analysis, Main force behavior analysis, Shakeout or distribution, Should I hold.

The page is marked requires_api_key=false, indicating that no additional API Key configuration is needed to call the Skill itself.

Installation and Activation

Official Address: https://api.skillhub.cn/user_87147e36/k-line-stage-analyzer
SkillHub Page: https://www.skillhub.cn/skills/user_87147e36/k-line-stage-analyzer

Important Note: When fetching the Skill’s official page and API addresses, no body content was returned. Therefore, this article does not provide installation commands, directory paths, or configuration fields. If the Skill page is readable, please follow the installation method provided on the page. Since the Skill is based on the generic SKILL.md format, it usually requires placing the Skill into the host’s Skills directory and enabling it in the session. The specific path depends on the host (Cursor / Codex CLI / Claude Code); no assertions are made here regarding unverified details.

Once enabled, you can ask questions directly using the trigger words listed above. For example:

Analyze this stock, what phase of the trend is it in, and how should I handle my holding?

Is it a shakeout or distribution? Should I hold?

Do a K-line phase analysis for this stock, combined with the market and sector views.

When asking questions, include the stock name or code and specify the focus (phase judgment, holding strategy, main force behavior) so the Skill can align the three layers of data and strategy suggestions to the same target.

Applicable Scenarios

  1. Retail investors with existing holdings needing phase judgment: You have stocks in your account and want to know if the current trend is an uptrend, oscillation, downtrend, or crash, and how to handle it accordingly.
  2. Scenarios where it is hard to distinguish between shakeout and distribution: When the stock price falls, distinguishing whether it is a main force shakeout or distribution is a problem this Skill explicitly covers.
  3. Scenarios requiring cross-layer data analysis: You want the judgment to be based not only on the individual stock’s K-line but also verified by the market index and sector.
  4. Auxiliary judgment in individual stock research: Used as a tool for trend phase classification, combined with manual review.

Notes and Limitations

  1. Category: Professional, Source: Community: This is a community release, not an official financial data service provider product. Conclusions need to be verified by yourself, especially regarding capital allocation.
  2. Low Adoption: The page shows 0 installations and 1142 downloads (Rating: 100000). There are very few adopters, and there is a lack of sufficient public practical feedback for reference.
  3. Data Source Dependency: requires_api_key=false only means the Skill call itself does not need an API Key. The actual acquisition channels and permissions for the three layers of market data are not explained in the materials; data source availability needs to be confirmed before use.
  4. Disclaimer: The output is phase judgment and strategy suggestions, not investment advice, nor does it constitute buy/sell instructions.

Conclusion

The value of this Skill lies in converging the vague problem of “trend phase” into four K-line patterns, ensuring that every layer of judgment is supported by market, sector, and individual stock data, and finally landing on a holding strategy. It is suitable for scenarios where you already have a position and need to quickly classify the current trend and get handling suggestions.

Official Address: https://api.skillhub.cn/user_87147e36/k-line-stage-analyzer

(The facts in this article are taken from pre-fetched data of the SkillHub page; the official page and interface could not be opened at the time of writing, so installation commands and configuration fields were not included.)