Preface

Teams handling public opinion monitoring typically produce two types of outputs: a retrospective summary that gets forwarded in group chats, and a conclusion that can never be found again. The former records the process, while the latter lacks structure; when a similar event occurs, you either piece things together from memory or start from scratch.

This Skill aims to solve the missing step in between: it standardizes the review of a public opinion event into a unified eight-module structure. This allows the output to be archived into a knowledge base and reused directly as a template for future events.

What is This

“Public Opinion Case Review” is a community-sourced, general-purpose SKILL.md Skill located at @user_0ccfebe0/yuqing-case-review. It is version 1.0.0, published by user_0ccfebe0, categorized under business-ops, and tagged with requires_api_key=false.

The problem it solves is that the output format of public opinion reviews varies by individual. Reports written by different people in the same team differ in modules, criteria, and levels of detail. This Skill constrains the review process into a fixed eight-module structure, making the output structured, data-backed, and reusable.

It should be noted that the SkillHub page was inaccessible during this capture. The ratings and download counts provided below are taken from pre-fetch data (Rating: 100000, Downloads: 1188, Installs: 0) and have not been verified again.

Core Functions

It does one thing: generates a public opinion case review report following a fixed eight-module structure. The module order is fixed as follows:

  1. Basic Information
  2. Event Timeline
  3. Dissemination Metrics
  4. Public Opinion Matrix
  5. Problem Diagnosis
  6. Response & Handling
  7. Effectiveness Evaluation
  8. Experience & Insights

The trigger method is natural language. It is used when users say “Review this public opinion event,” “Analyze this public opinion case,” “Public opinion summary,” or “Organize public opinion according to standard format.”

The output goal is a structured, data-backed, and reusable public opinion case report. In other words, it produces a report with a fixed skeleton, rather than a scattered, conversational summary.

Note: The eight modules serve as a skeleton. The specific data within each module needs to be provided by the user or auto-completed by the Skill if information is available. The Skill itself does not guarantee the authenticity of data sources; data must be manually verified before archiving.

Installation and Activation

The materials captured this time did not include official installation commands, directory paths, or configuration fields, so no speculative commands are listed below. It can be confirmed that:

  • It follows the general SKILL.md format and can be activated in Agent environments that support this format.
  • requires_api_key=false, so no API Key needs to be prepared before activation.

If you wish to activate it in a local environment, it is recommended to first visit the official page to confirm the installation method supported by your environment, and then follow the instructions on the page. Do not write commands into your project as verified configuration.

Typical Usage

Below is a reproducible usage example organized based on the official introduction. The input is a description of a public opinion event, and the output is an eight-module review report.

Input Example:

Review this public opinion event: A brand's product quality complaints fermented on social platforms on June 12, trended within 7 days, the official responded twice, and it eventually subsided on June 19.

Expected Output Structure:

I. Basic Information
II. Event Timeline
III. Dissemination Metrics
IV. Public Opinion Matrix
V. Problem Diagnosis
VI. Response & Handling
VII. Effectiveness Evaluation
VIII. Experience & Insights

Key Points for Usage:

  1. Try to include event timelines, dissemination volumes, and key responses in the input so that the “Dissemination Metrics” and “Public Opinion Matrix” sections of the skeleton have usable data.
  2. If there is no data in the input, the Skill will generate a report according to the structure, but relevant modules will be empty or contain placeholders, requiring manual completion.
  3. Once generated, the report can be archived directly and used as a template for similar future events.

Applicable Scenarios and Notes

Suitable for: Teams that need to settle public opinion events into structured reviews and unify standards within the team; scenarios where review results need to be stored in a knowledge base for future retrieval and reuse.

Not suitable for: Scenarios requiring real-time monitoring of public opinion trends (this belongs to monitoring tools, not the output of a review Skill); automated processes that require extremely high data accuracy and do not allow for any manual verification.

Three pitfalls to avoid during usage:

  1. When the data source is unclear, do not directly publish the numbers in the report externally; verify the raw data first.
  2. The eight modules are a fixed structure. If the event itself lacks information corresponding to a specific module, the Skill will leave it blank or make inferences. Do not treat inferences as facts.
  3. Review conclusions depend on the completeness of the input information. The more specific the input, the more valuable the report.

Conclusion

The value of this Skill lies in transforming public opinion review from a one-off writing task into a fixed, structured output. This allows the team to apply the same skeleton to every review, facilitating knowledge accumulation and reuse. It does not solve the issues of data collection and authenticity; that part still requires manual oversight.

Official URL: https://api.skillhub.cn/user_0ccfebe0/yuqing-case-review

Note: The SkillHub page was inaccessible during this capture. Information regarding version, category, tags, and ratings in this text is based on pre-fetch data. For the latest data, please refer to the official page.