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データ・研究 · SKILL.md

debug-live-issue

debug-live-issue

Debug production-like issues in this repository with disciplined evidence gathering. Use when fixing failing workflows, regressions, flaky behavior, or data inconsistencies across hooks, API, DB, websocket, and UI.

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name: debug-live-issue description: Debug production-like issues in this repository with disciplined evidence gathering. Use when fixing failing workflows, regressions, flaky behavior, or data inconsistencies across hooks, API, DB, websocket, and UI.

Debug Live Issue

Use this workflow for incident-style debugging.

Steps

  • Capture symptom, expected behavior, and reproducible path.
  • Isolate subsystem first: hook ingestion, API route, DB state, websocket, or UI rendering.
  • Reproduce with minimal surface area.
  • Prove root cause before changing code.
  • Apply minimal fix and re-verify.

Evidence standards

  • Prefer direct logs, API responses, DB state checks, and deterministic repro steps.
  • Avoid speculative fixes without root-cause evidence.
  • If not fully reproducible, state uncertainty and strongest hypothesis.

References

  • Investigation template: references/investigation-template.md
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