LangSmith · LLM observability

Debugs LangChain and LangGraph agents by pulling recent execution traces with the langsmith-fetch CLI and reporting errors, tool calls, timings and token use.

ComposioHQ/awesome-claude-skills

Design, test, create, and attach LangSmith online evaluators for production traces or conversation threads.

langchain-ai/langsmith-skills

Migrate to Langfuse from another LLM observability/evals platform (LangSmith, Arize AX, Phoenix, Braintrust, Helicone, Promptfoo, ...).

langfuse/skills

Use the writetodos tool effectively for task planning and decomposition in Deep Agents.

soba-labs/langchain-agent-skills

INVOKE THIS SKILL when building, iterating on, copying, or sharing a LangSmith Custom App — a React/TypeScript UI that runs inside LangSmith and reads the LangSmith API.

langchain-ai/langsmith-skills

LLM observability platform for tracing, evaluation, and monitoring.

Orchestra-Research/AI-Research-SKILLs

Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover.

agentsope/SkillAlchemy

INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents.

langchain-ai/langchain-skills

A skill your agent uses when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory…

soba-labs/langchain-agent-skills

Trace, evaluate, and deploy AI agents and LLM applications with LangSmith.

langchain-ai/docs

Deploy and operate production agent servers with LangSmith Deployment.

soba-labs/langchain-agent-skills

Fetch, organize, and analyze LangSmith traces for debugging and evaluation.

soba-labs/langchain-agent-skills

INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith.

langchain-ai/langchain-skills

Check that a code sample, API signature, default, or behavior claim in the docs is actually true, by running it or reading the product source.

langchain-ai/docs

Produce a reproducible, sanitized diagnostic bundle for a LangChain / LangGraph incident — environment snapshot, version manifest, filtered astreamevents(v2) transcript, propagating callback stack…

jeremylongshore/tons-of-skills-marketplace

Build reproducible evaluation pipelines for LangChain 1.0 chains and LangGraph 1.0 agents — golden datasets, LangSmith evaluate(), ragas RAG metrics, deepeval LLM-as-judge, agent trajectory…

jeremylongshore/tons-of-skills-marketplace

Wire LangSmith tracing and custom metric callbacks into a LangChain 1.0 chain or LangGraph 1.0 agent correctly — env-var spelling, subgraph propagation, per-tenant dimensions, cost and latency…

jeremylongshore/tons-of-skills-marketplace

Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and A/B test wiring.

jeremylongshore/tons-of-skills-marketplace