Debug software defects through a structured subagent iteration loop with test verification.
npx skills add https://github.com/edwinhu/workflows --skill dev-debug
Please help me install this Agent Skill. Skill: dev-debug Source: https://github.com/edwinhu/workflows/tree/main/skills/dev-debug Command: npx skills add https://github.com/edwinhu/workflows --skill dev-debug
This Skill tackles complex bugs by employing a rigorous, iterative debugging process, preventing common pitfalls like context pollution and rationalized shortcuts.
Use the dev-debug skill to investigate and fix the reported bug in the user authentication module.
High-intent search queries and answers about installing and using this skill.
Systematic debugging requires a multi-phase protocol that isolates root causes through rigorous hypothesis testing. Using fresh subagents for each iteration prevents context drift, ensuring defects are resolved without introducing further complexity or rationalized shortcuts.
Preventing context pollution during root cause analysis involves employing a structured iteration loop with fresh subagents. This enforces clean context for each testing phase, ensuring hypotheses are rigorously tested before fixes are applied and preventing context drift.
Automating bug fixing safely requires progress gating and automated test verification. This enforces autonomous operation as long as meaningful progress is made, escalating to the user only when stuck, ensuring fixes target the actual root cause.
A structured debugging protocol is ideal for critical broken features. It systematically isolates and resolves the root cause by enforcing a strict subagent-based iteration loop with automated test verification, preventing context drift.
Debugging introduces new complexity when context drift and rationalized shortcuts occur. Employing a rigorous, iterative debugging process with progress gating and fresh subagents prevents these pitfalls, ensuring hypotheses are rigorously tested before fixes are applied.
Automated test verification works with iterative code analysis by enforcing a strict subagent-based iteration loop. This ensures hypotheses are rigorously tested before fixes are applied, preventing context drift during troubleshooting.
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