Debugging strategies
Production-grade engineering skills and specialist agent personas for AI coding assistants. Orchestrates the full SDLC, from spec to ship, with structured verification gates, anti-rationalization checks, and senior-level engineering discipline.
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Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.
SKILL.md
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Debugging Strategies
Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.
Use this skill when
- Tracking down elusive bugs
- Investigating performance issues
- Debugging production incidents
- Analyzing crash dumps or stack traces
- Debugging distributed systems
Do not use this skill when
- There is no reproducible issue or observable symptom
- The task is purely feature development
- You cannot access logs, traces, or runtime signals
Instructions
- Reproduce the issue and capture logs, traces, and environment details.
- Form hypotheses and design controlled experiments.
- Narrow scope with binary search and targeted instrumentation.
- Document findings and verify the fix.
- If detailed playbooks are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed debugging patterns and checklists.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
What ships with it: 1 file
11.7 KB alongside SKILL.md
resources/
- implementation-playbook.md11.7 KB