Guide a six-phase debugging loop from reproduction to regression testing.
npx skills add https://github.com/helderberto/agent-skills --skill diagnose-helderberto
Please help me install this Agent Skill. Skill: diagnose Source: https://github.com/helderberto/agent-skills/tree/main/skills/diagnose Command: npx skills add https://github.com/helderberto/agent-skills --skill diagnose-helderberto
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
Initiate Phase 1 by building a deterministic feedback loop to reproduce the bug and gather signals.
High-intent search queries and answers about installing and using this skill.
A structured debugging workflow guides you through a six-phase loop: reproduce, hypothesise, instrument, fix, regression test, and cleanup. It requires deterministic signals and explicit checkpoints to locate root causes and validate fixes across codebases, tests, and async systems.
Debug a performance regression by first reproducing the issue to gather deterministic signals. Then rank hypotheses, apply targeted probes to instrument the async system across components, and verify the fix through regression testing with clear success criteria.
Establish a deterministic reproduction loop by isolating the failing test scenario and gathering measurable signals. This feedback loop forms Phase 1 of the diagnosis process, ensuring you can reliably trigger the bug before hypothesising and instrumenting targeted probes.
Yes, this bug diagnosis process applies to bugs reported in code, tests, and async systems. It uses a multi-phase feedback loop with explicit checkpoints to ensure disciplined hypothesis testing and fix verification regardless of the component layer.
The best way to rank hypotheses is to apply targeted probes during the instrumentation phase, collecting deterministic signals that validate or invalidate each assumption. This structured approach minimizes guesswork and isolates the exact root cause efficiently.
Avoid using a multi-phase debugging workflow for obvious or trivial bugs where the root cause is immediately visible. This disciplined loop is designed for hard bugs and performance regressions that require deterministic reproduction, hypothesis ranking, and regression testing to verify.
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