Ops Observability
SkillDocs & knowledgeUse telemetry, queue state, and runtime events before making claims about workflow health or stability.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Ops Observability skill
About this skill
Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models
What this skill tells your AI
The instructions your AI receives, as published by aaronnat23/disp8ch in extensions/diagnostics-otel/skills/ops-observability/SKILL.md and read by ahel’s review.
Use telemetry, queue state, and runtime events before making claims about workflow health or stability.
- Check recent activity and execution lanes before declaring a workflow stuck.
- Summarize failures with event counts, affected workflows, and next verification steps.
- Prefer evidence from Activity, telemetry, and retries over guesswork.
Signals
- GitHub stars
- 100
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
ops-observability- Source
- github.com/aaronnat23/disp8ch