Trace execution paths and interpret error evidence to diagnose software bugs.
npx skills add https://github.com/xtrm-dev/specialists --skill xt-debugging
Please help me install this Agent Skill. Skill: xt-debugging Source: https://github.com/xtrm-dev/specialists/tree/main/.xtrm/skills/default/xt-debugging Command: npx skills add https://github.com/xtrm-dev/specialists --skill xt-debugging
This Skill helps you diagnose software failures, crashes, regressions, and performance slowdowns by turning symptoms into a clear root-cause investigation.
It combines stack trace reading, log correlation, execution-path tracing, and hotspot analysis to narrow down where a bug starts and why it happens. Use it when an endpoint returns 500, a function behaves unexpectedly, a regression appears after recent changes, or a system gets slow under load. It is especially useful for tracing dependencies and call chains with GitNexus so you can confirm hypotheses before making a fix.
Use the xt-debugging skill to investigate this error, trace the failing execution path, and identify the most likely root cause.
High-intent search queries and answers about installing and using this skill.
To find the root cause of a 500 error from a stack trace, this Skill traces execution paths and interprets error evidence. It correlates the stack trace with log timelines and call-chain dependencies to pinpoint the failing function.
Debugging an intermittent system failure requires correlating logs and tracing execution paths. This Skill narrows down intermittent crashes by inspecting process-level execution, validating hypotheses, and detecting recent code changes.
Tracing a performance bottleneck in a hot execution path involves analyzing hotspots and call chains. This Skill applies performance profiling to identify slowdowns under load and confirm the exact bottleneck location before remediation.
Root cause analysis using this Skill requires fresh GitNexus indexing. You need to index the repository so the Skill can perform query and context tracing, inspect process-level execution, and detect changes accurately.
Yes, you can investigate regressions after recent code changes. The Skill applies change detection to identify what altered the behavior, then traces the failing execution path to validate the hypothesis before you apply fixes.
nullmastermindTrace GitNexus execution flows and caller/callee relationships to diagnose bugs.
MissTullyDiagnose software issues through a phase-driven root-cause analysis workflow.
brixtonphamProfile Python code with cProfile and py-spy to identify performance bottlenecks.
outfitter-devDiagnose system failures by forming hypotheses and gathering evidence.
