Skill Detail
Trace, evaluate, and monitor agentic workflows with Opik
Capture LLM and agent traces, run evaluations, inspect failures, and monitor RAG or multi-step agent behavior from prototype to production.
Monitoring & AlertsMulti-Framework
Monitoring & Alerts
Multi-Framework
Security Reviewed
⭐ 19.1k GitHub stars
⬇ 18.3k/wk npm
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill trace-evaluate-and-monitor-agentic-workflows-with-opik
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Opik service or SDK, LLM application or agent workflow, evaluation datasets or production traces
Install & setup
Install and configure Opik from the official docs, instrument the target LLM or agent workflow, log traces and evaluation datasets, then review dashboards and evaluation results before shipping changes.
Author
Comet
Publisher
Organization
Last updated
May 1, 2026
Quick brief
Use Opik when an agent workflow needs evidence-backed debugging instead of ad hoc log reading. The operator instruments LLM calls, tool use, prompts, datasets, and evaluation runs so failures can be traced, scored, compared, and monitored over time. The boundary is observability and evaluation for LLM applications, RAG systems, and agentic workflows, not generic analytics or model hosting.