Individual skill
agent-observability
Use when monitoring, tracing, or debugging agentic workflows in production. Keywords: observability, tracing, OpenTelemetry, Langfuse, latency, token cost, loop detection, telemetry.
skills/operations/agent-observability/SKILL.md
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- claude-code Repository topic
- agent-skills Repository topic
- agentic-workflow Repository topic
- skill-md Repository topic
- ai-agent Repository topic
- ai-workflows Repository topic
- codex Repository topic
- coding-agent Repository topic
- developer-tools Repository topic
- gemini-cli Repository topic
- testing Derived category
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SKILL.mdcore · 5,033 bytes
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# Agent Observability & Telemetry
## Overview
This skill defines the operational standards and instrumentation requirements for monitoring agentic workflows. It ensures that complex, multi-agent systems built within KILO-KIT remain transparent, debuggable, and cost-effective. Observability in this context spans from real-time tracing of individual subagent reasoning to macro-level analysis of cost-per-task and loop-detection across distributed systems.
## When To Use
Activate this skill when:
- Designing new complex agent workflows requiring distributed tracing.
- Debugging performance regressions or unexplained agent failures.
- Implementing production monitoring for cost optimization.
- Setting up feedback loops for regression testing based on real production traces.
- Configuring OpenTelemetry or integrating with observability platforms like Langfuse/Helicone.
## Core Pillars