Today, I want to create an agent skill for debugging. Sometimes, I receive bug reports or tickets from QA, but I don't always know where to start the investigation or what prompts to use.
I decided to use the Engineering: Debug skill to help with this process. However, its responses can sometimes be too long, with large paragraphs that are difficult to follow.
I want to improve the skill so that it breaks the investigation into clear, structured sections, such as Root Cause, How the Issue Occurs, and other relevant topics. This will make the investigation easier to understand, review, and share with the development team.
That's why I decided to create Panda Debugger, an agent skill designed to make debugging investigations more structured, clear, and easier to follow.
It make debugging easier by guiding me through the investigation step by step. It also helps me understand the problem better, explore possible causes, and generate new ideas about where to look next
At the end, I just want a clear structure with specific sections sometimes I also want to skip the investigation details and go straight to ideas or possible directions for fixing the issue. That what why i decided to create this skill. It's not about saying one approach is better or worse than another. I just wanted somthing that better fits the way I work. :)
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