Guide structured debugging through framing, reproduction, instrumentation, and root-cause analysis.
npx skills add https://github.com/Abkr1/liza --skill debugging-abkr1
Please help me install this Agent Skill. Skill: debugging Source: https://github.com/Abkr1/liza/tree/main/skills/debugging Command: npx skills add https://github.com/Abkr1/liza --skill debugging-abkr1
Debugging ensures certainty before code changes by providing a disciplined protocol that reduces guesswork and regression risk.
Run the debugging protocol on a failing task to isolate the trigger, instrument logs, and validate hypotheses.
High-intent search queries and answers about installing and using this skill.
A disciplined debugging protocol reduces guesswork by enforcing structured bug intake, reproduction, and root-cause analysis. It ensures certainty before code changes by capturing context and validating hypotheses across local, CI, and multi-agent contexts.
Isolate a bug trigger by running a structured intake to capture reproduction steps and observations. Then select a fast or normal path strategy and apply observability guidelines to instrument logs and track state across CI environments.
Instrument logs for reproducibility by following observability guidelines that enforce explicit timestamps and state tracking. This instrumentation captures the exact conditions needed to validate hypotheses and perform root-cause analysis.
Use a gate-based approach for root-cause analysis when resolving complex bugs to ensure certainty. This framework enforces explicit verification and regression checks, validating that the identified root cause and subsequent fixes are correct and safe.
Yes, the debugging protocol works across local, CI, and multi-agent contexts. It provides a dual-path strategy with escalation guidelines, enabling practitioners to apply structured bug intake and instrumentation consistently regardless of the environment.
Smooth-OperationDiagnose software bugs with a five-step reproduce, isolate, identify, fix, and verify workflow.
pekralConvert requirements into implemented solutions with explicit validation.
webdevtodayjasonDiagnose software bugs using hypothesis-driven scientific debugging methodology.
the-thinker0Quantify uncertainty in data-driven decisions using probability theory.
