Debug Live Issue
SkillMonitoring & opsDebug 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Debug Live Issue skill
What this skill tells your AI
The instructions your AI receives, as published by hoangsonww/claude-code-agent-monitor in .claude/skills/debug-live-issue/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 989
- Forks
- 233
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
debug-live-issue- Source
- github.com/hoangsonww/claude-code-agent-monitor