Evidence-driven debugging for project or system issues: reproduce the bug, capture commands/logs/stack traces, narrow scope, prove root cause with concrete evidence (no guessing), apply minimal fix, and re-run reproduction/tests to verify. Use when asked to debug/triage errors, crashes, segfaults/panics/tracebacks, failing/flaky tests, service/system problems (systemd/journalctl), or performance regressions.
Key Features
- Comprehensive skill evaluation and performance tracking
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Quick Start
TopRank Skills install qsdrqs/debugger
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Skill Details
GitHub Stars
3
GitHub Forks
0
Created
Jan 2026
Last Updated
4 months ago
research
research debugging
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