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Observability Agent

SkillMonitoring & ops

Query metrics, logs, and traces (Prometheus, Grafana, Loki, Sentry, OpenTelemetry) to diagnose incidents. Use during outages or performance investigations.

Use Observability Agent in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Observability Agent and connect your AI. About a minute.

ClaudeChatGPTAhel Desktop

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Observability Agent skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Observability AgentStart free

What this skill tells your AI

The instructions your AI receives, as published by navinspire-ia/navin in navin/skills/observability-agent/SKILL.md and read by Ahel’s review.

Overview

Follow symptoms → signals → cause. Prefer existing dashboards and log queries over random restarts.

Workflow

  1. Define the symptom (error rate, latency, user report) and time window.
  2. Check golden signals: latency, traffic, errors, saturation.
  3. Pull logs/traces for the failing dependency.
  4. Correlate deploys / config changes in the window.
  5. Propose mitigation + durable fix; document with timestamps.

Rules

  • Redact PII/secrets from log excerpts in chat.
  • Do not restart prod services without approval.
  • If tooling APIs are unavailable, guide the user through UI queries.

Signals

GitHub stars
36
Forks
4
Last commit
Oct 2026
Advanced
Item type
skill
Key
observability-agent
Source
github.com/navinspire-ia/navin

github.com/navinspire-ia/navin

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