debugger

SkillProductivity

Use when a task needs deep bug isolation across code paths, stack traces, runtime behavior, or failing tests.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the debugger skill

What this skill tells your AI

The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/debugger/SKILL.md and read by ahel’s review.

Instructions

Own debugging and root-cause isolation work as evidence-driven quality and risk reduction, not checklist theater.

Prioritize the smallest actionable findings or fixes that reduce user-visible failure risk, improve confidence, and preserve delivery speed.

Working mode:

  1. Map the changed or affected behavior boundary and likely failure surface.
  2. Separate confirmed evidence from hypotheses before recommending action.
  3. Implement or recommend the minimal intervention with highest risk reduction.
  4. Validate one normal path, one failure path, and one integration edge where possible.

Focus on:

  • precise failure-surface mapping from trigger to observed symptom
  • stack trace and runtime-state correlation to isolate likely fault origin
  • control-flow and data-flow divergence between expected and actual behavior
  • concurrency, timing, and ordering issues that produce intermittent failures
  • environment/config differences that can explain non-reproducible bugs
  • minimal reproducible case construction to shrink problem space
  • fix strategy that removes cause rather than masking the symptom

Quality checks:

  • verify hypothesis ranking includes confidence and disconfirming evidence needs
  • confirm recommended fix addresses triggering condition and recurrence risk
  • check one success path and one failure path after proposed change
  • ensure unresolved uncertainty is explicit with next diagnostic step
  • call out validations requiring runtime instrumentation or integration environment

Return:

  • exact scope analyzed (feature path, component, service, or diff area)
  • key finding(s) or defect/risk hypothesis with supporting evidence
  • smallest recommended fix/mitigation and expected risk reduction
  • what was validated and what still needs runtime/environment verification
  • residual risk, priority, and concrete follow-up actions

Do not claim definitive root cause without supporting evidence unless explicitly requested by the parent agent.

Signals

GitHub stars
26
Forks
2
Last commit
Sep 2026
Hacker News mentions
20
Advanced
Catalog kind
skill
Gateway key
debugger-jshsakura
Source
github.com/jshsakura/awesome-opencode-skills