Preface

When providing individual stock conclusions to clients or writing post-market review reports, the common practice is to take screenshots from trading software, manually transcribe financial data, and then piece together a judgment based on experience. The problem is not that information is hard to find, but that dimensions are easily overlooked: fundamentals are checked but shareholder structure is not; technicals are reviewed but capital flow is missed. The final output format also varies from person to person, making it difficult to reuse.

The “Stock Analysis Skill” introduced below addresses this pain point: it solidifies the analysis workflow for individual (or multiple) A-share stocks into a skill, collects data according to fixed dimensions, and outputs structured analysis reports and clear investment recommendations, reducing human omissions and format drift.

What This Is

This is a comprehensive analysis skill for A-share individual stocks, published by user_19ae6c59, categorized as professional on SkillHub, sourced from the community, currently at version 1.0.1.

Its core approach integrates two frameworks:

  • 15 dimensions of in-depth individual stock analysis
  • 7-dimension company quality scoring

It performs full-dimension structured analysis on single or multiple A-share stocks, ultimately providing a 100-point quality score and BUY/SELL/HOLD action recommendations.

The problem it solves: standardizing the chain of actions—“checking quotes, checking financial statements, calculating indicators, writing conclusions”—so that users or callers receive unified-format, complete-dimension results.

Core Functions

According to official materials, this skill generates complete stock analysis reports through seven steps, covering the following data aspects:

  1. Real-time quotes
  2. K-line charts
  3. Technical indicators
  4. Financial statements
  5. Company overview
  6. Shareholder structure
  7. Capital flow
  8. Dividends
  9. Performance
  10. Costs

Based on this, combined with the two frameworks mentioned above, the output content covers dimensions including fundamentals, financial quality, technicals, capital flow, shareholder structure, institutional views, and valuation comparison, and provides a 100-point quality score and BUY/SELL/HOLD action recommendations.

It should be noted that the official introduction lists two sets of descriptions: the seven-step process and the dual-framework dimensions. The former describes report generation steps, while the latter describes the scoring framework—they do not conflict.

Installation and Activation

This skill is based on the general SKILL.md format, with coordinates @user_19ae6c59/maty001.

Currently, official materials do not provide explicit installation commands or configuration items. There is one tag information in the retrieved materials:

tags: requires_api_key=false

This means that calling this skill does not require applying for an additional API Key. The specific activation method is subject to the SkillHub page.

Official page address:

https://api.skillhub.cn/user_19ae6c59/maty001

Page information URL:

https://www.skillhub.cn/skills/user_19ae6c59/maty001

Typical Use Cases

According to the official introduction, this skill supports the following types of inputs and outputs:

  • Input: single or multiple A-share individual stocks
  • Output: full-dimension structured analysis report, including 100-point quality score and BUY/SELL/HOLD action recommendations

Typical scenarios include:

  • Individual stock analysis: comprehensive dimension checkup for a single stock
  • Multi-stock comparison: horizontal comparison of multiple stocks across the same dimensions
  • Investment decision-making: determining buy, sell, or hold based on scores and recommendations
  • Trading recommendations: directly providing BUY/SELL/HOLD conclusions
  • Position diagnosis: dimension attribution for existing holdings
  • Stock screening: preliminary screening based on quality scores

The above scenarios come from the skill’s official introduction. Specific invocation methods and output formats should be subject to the official page.

Applicable Scenarios and Considerations

Suitable for the following users: developers, investment researchers, or automated workflows that need structured, reproducible analysis of A-share individual stocks.

Scope limitations (from official introduction):

  • Not applicable to broad market index analysis
  • Not applicable to industry-wide research
  • Not applicable to macro policy interpretation
  • Not applicable to fund screening

Points to note:

  1. This skill focuses on individual stocks and cannot replace judgments about the macro environment and industry cycles.
  2. The output BUY/SELL/HOLD recommendations are structured results based on given dimensions and data; whether to execute still requires human decision-making.
  3. Scores and conclusions depend on the quality and timeliness of underlying data sources; data timeliness should be confirmed before use.
  4. According to official materials, the score is 100000, downloads are 1181, and installations are 0; data retrieved at different times may vary slightly.

Conclusion

The value of this skill lies in solidifying the dimensions and workflow of A-share individual stock analysis, avoiding omissions and format inconsistencies, while reducing conclusion interpretation costs with 100-point scoring and clear action recommendations. If your workflow requires frequent output of individual stock analysis reports or multi-stock comparisons, you can learn about specific activation methods from the official page.

Official address: https://api.skillhub.cn/user_19ae6c59/maty001