Use browser automation to log in to an internal crash reporting platform, extract a stack trace, and perform a preliminary cause analysis. This fully automates a simple but high-frequency task.
Scenario
Alex is a backend developer who frequently investigates production issues. His company uses an internal crash reporting platform. Each time an issue occurs, he must manually open a browser, log in to the platform, find the corresponding crash record, copy the stack trace, and paste it into a document for analysis. Although the process is not complex, he repeats it several times a day. To make matters worse, the login session often expires, forcing him to re-enter his password repeatedly.
He describes his needs directly in QoderWork CN:
Prompt
Please help me extract information from the crash reporting platform:
1. Open a browser and go to http://crash.internal.company.com
2. If a login is required, use my account information saved in the browser.
3. In the search box, enter the crash ID: CRASH-2024-03-001
4. Extract the complete Stack Trace.
5. Save it as a Markdown file, with the filename containing the crash ID.
6. Also, analyze the stack and provide a preliminary judgment on the possible cause of the crash.
What QoderWork CN does
QoderWork CN automatically opens a browser and completes the entire process of logging in, navigating, searching, and extracting the data. It saves the stack trace as a formatted Markdown document and includes a preliminary analysis, such as "A NullPointerException occurred at UserService.java:128, possibly because the user object was not initialized."
Making it a reusable Skill
Alex packages this entire operation into a reusable Skill. Now, whenever he receives a production alert, he just says, "Extract and analyze the stack trace for crash CRASH-2024-03-002." QoderWork CN handles all the steps automatically, allowing him to review the analysis results directly.
Core value
|
Metric |
Benefit |
|
Typical use case |
A prime example of browser automation in the developer toolchain. |
|
Ideal for automation |
Simple, repetitive tasks are ideal for automation. |
|
Compounded efficiency |
Completes extraction and analysis in one step. |
How it works
The core technique in this use case is the combination of browser automation and Skill encapsulation. This approach fully automates simple, frequent, and repetitive tasks.
Alex's scenario involves a consistent workflow (log in → search for a crash ID → copy the stack) repeated multiple times daily. In his prompt, he cleverly included an additional request: "Also, analyze the stack and provide a preliminary judgment on the possible cause of the crash." This instruction transforms QoderWork CN from a simple data retriever into a preliminary diagnostic assistant that performs an initial analysis during data extraction.
By encapsulating this workflow as a Skill, he only needs to say, "Extract and analyze the stack trace for crash CRASH-xxx," passing the crash ID as a variable.
Simple, repetitive daily tasks are a perfect use case for combining browser automation with Skill encapsulation.