Reproduce, explain, and verify bugs to identify root causes.
npx skills add https://github.com/kalindudc/shell --skill debugger-kalindudc
Please help me install this Agent Skill. Skill: debugger Source: https://github.com/kalindudc/shell/tree/main/home/.config/opencode/skills/debugger Command: npx skills add https://github.com/kalindudc/shell --skill debugger-kalindudc
Investigating bugs is made systematic by reproducing failures, explaining code behavior in plain language, forming and ranking hypotheses, gathering evidence, and verifying root causes before suggesting fixes.
Reproduce the reported bug with a minimal script or command and begin documenting findings.
High-intent search queries and answers about installing and using this skill.
Finding the root cause of a bug involves reproducing the failure with a minimal script, explaining the code behavior at the failure point, forming ranked hypotheses, and gathering evidence from logs and diffs to verify conclusions.
The best way to structure a debugging investigation is to follow a scientific workflow: reproduce the reported bug, explain the failure in plain language, form 1-3 ranked hypotheses, gather evidence to confirm or refute them, and compile a concise report.
Yes, you can use a structured debugging workflow for incident investigations and code reviews across languages and environments. It helps reproduce failures, explain code behavior, and verify root causes systematically before applying fixes.
To form and rank hypotheses during a bug investigation, identify 1-3 potential root causes, define the evidence needed to confirm or refute each one, and pursue the highest-confidence path first using logs, diffs, and test results.
To verify root causes before suggesting code fixes, you need to gather evidence from logs, diffs, and test results. This evidence confirms or refutes your ranked hypotheses and supports a concise handoff report of the verified conclusions.
sQVeDiagnose bugs by tracing evidence and generating a BR issue template.
u9401066Enforce a structured bug-fixing workflow with regression tests and root-cause analysis.
I-OnlabsAudit codebases across architecture, quality, security, and performance to produce prioritized health reports.
mr-daedaliumMonitors web pages after deployment for anomalies and alerts.
