Diagnose software bugs by analyzing stack traces and logs.
npx skills add https://github.com/Geralt1983/Thanos --skill troubleshooter
Please help me install this Agent Skill. Skill: Troubleshooter Source: https://github.com/Geralt1983/Thanos/tree/main/.gemini/skills/troubleshooter Command: npx skills add https://github.com/Geralt1983/Thanos --skill troubleshooter
This Skill helps users systematically identify, analyze, and resolve software bugs, errors, and performance problems, reducing downtime and frustration.
Use the troubleshooter skill to help me debug a Python script that is crashing with an AttributeError.
High-intent search queries and answers about installing and using this skill.
To analyze a Python stack trace, examine the exception type and traceback sequence to locate the failing line. This Skill interprets stack traces for Python, JavaScript, and Java, identifying the root cause of crashes and suggesting targeted fixes.
Troubleshooting application logs for 500 errors involves parsing server logs to find exception patterns. This Skill investigates symptoms by analyzing application logs to identify the specific exception causing internal server errors and recommends potential resolutions.
Yes, you can use systematic debugging techniques like the 5 Whys and Fishbone diagrams for software bug fixing. This Skill employs root cause analysis methods to systematically investigate symptoms and identify underlying issues.
Yes, this debugging approach works with JavaScript and Java stack traces. The Skill supports error analysis and stack trace interpretation specifically for Python, JavaScript, and Java applications to help diagnose and resolve exceptions.
To fix an AttributeError in a Python script, investigate the object type and the missing attribute referenced in the error. This Skill diagnoses such exceptions by analyzing the error message and guiding users through debugging strategies like print debugging.
Debugging strategies that help resolve performance degradation and integration failures include binary search, print debugging, and rubber duck debugging. This Skill guides users through these techniques to systematically address software issues and reduce downtime.
ArabelaTsoInstrument suspicious code regions with logging, tracing, and assertions.
venhdevEnforce a 4-phase root cause investigation workflow for technical issues.
supermalangReproduce failures, isolate root causes, and apply minimal fixes with regression tests.
crbnosInject temporary JSONL logging into code to diagnose complex runtime bugs.
