observability

Generate structured traces and step-by-step logs for agentic workflows.

1|1|Updated Dec 28, 2025
One-click install
npx skills add https://github.com/ssimhan/meal-planner --skill observability-ssimhan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: observability
Source: https://github.com/ssimhan/meal-planner/tree/main/skills/observability
Command: npx skills add https://github.com/ssimhan/meal-planner --skill observability-ssimhan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Observability eliminates opaque agentic workflows by providing structured traces and comprehensive logs for every step.

Core Features & Use Cases

  • LangSmith integration when available for visual debugging and evaluation.
  • Step-by-step logging and structured tracing for multi-step tasks and subagent interactions.
  • Tool call metadata and session history to preserve context across retries and handoffs.
  • Use Case: Diagnosing failures in complex agentic pipelines by identifying divergence points and validating state transitions.

Quick Start

Enable structured tracing for complex workflows, integrate LangSmith when possible, and review traces in session logs to diagnose issues.

Frequently Asked Questions about observability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is structured tracing for agentic workflows?

Structured tracing for agentic workflows is the process of capturing step-by-step logs, tool call metadata, and state transitions to eliminate opaque pipelines and enable reliable debugging.

How do I debug failures in multi-step agentic pipelines?

Debug failures in multi-step agentic pipelines by enabling structured tracing and reviewing session histories to identify divergence points, validate state transitions, and diagnose subagent interactions.

Does this observability approach integrate with LangSmith for visual debugging?

Yes, this observability approach integrates with LangSmith when available, providing visual debugging and evaluation capabilities to help diagnose failures in complex agentic pipelines.

How do I preserve context across retries and handoffs in agent workflows?

Preserve context across retries and handoffs in agent workflows by maintaining step-by-step logs, tool call metadata, and session histories that capture intents and state transitions.

When do I need structured tracing for long-running processes?

You need structured tracing for long-running processes when executing multi-step tools or subagent interactions that require auditing, reliability validation, and failure diagnosis across complex pipelines.