Agent skill · AI & Agents

langsmith-tracing

LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill langsmith-tracing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Allowed tools: ReadGrepWriteEditBashGlobWebFetch
Path: library/specializations/ai-agents-conversational/skills/langsmith-tracing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# langsmith-tracing Configure LangSmith observability and tracing for LLM applications built with LangChain and LangGraph frameworks. ## Overview LangSmith is the managed observability suite by LangChain that provides: - Dashboards and alerting for LLM applications - Human-in-the-loop evaluation capabilities - Deep LangChain/LangGraph integration - Run Tree model for nested traces - MCP connectivity to Claude, VSCode ## Capabilities ### Core Tracing Setup - Initialize LangSmith client and API configuration - Configure project/workspace settings - Set up trace collection and sampling - Enable debug logging for agent execution ### Integration Patterns - LangChain chain tracing with automatic instrumentation - LangGraph workflow state tracking - Custom span creation for non-LangChain code - Parent-child trace relationships ### Debugging Features - Fetch execution traces for analysis - Query run history and metadata - Export traces for offline analysis - Compare runs across different versions ## Usage ### Environment Setup ```bash # Set required environment variables export LANGCHAIN_TRACING_V2=true export LANGCHAIN_API_KEY=<your-api-key> export LANGCHAIN_PROJECT=<project-name> ``` ###

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Core Tracing Setup
  4. Integration Patterns
  5. Debugging Features
  6. Usage
  7. Environment Setup
  8. Python Integration
  9. Trace Retrieval
  10. Task Definition
  11. Applicable Processes
  12. External Dependencies
  13. References
  14. Related Skills
Ships with 1 file
  • README.md
Commands it runs
Set required environment variables
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=<your-api-key>
export LANGCHAIN_PROJECT=<project-name>
More from babysitter
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About this skill
What does the langsmith-tracing skill do?

LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill langsmith-tracing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going