AI & LLM Engineering · LangSmith

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

Inspects an LLM evaluation setup for missing error analysis, unvalidated judges and vanity metrics, and ranks the problems by impact with fixes.

ai-evals-course/evals-skills

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

langchain-ai/langsmith-skills

Add, move, rename, or delete a page on the LangChain docs site.

langchain-ai/docs

Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision.

langchain-ai/langchain-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

A skill your agent uses when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted by this repo’s snippet scripts and used as Mintlify…

langchain-ai/docs

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

Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package.

soba-labs/langchain-agent-skills

LLM observability platform for tracing, evaluation, and monitoring.

Orchestra-Research/AI-Research-SKILLs

Write or revise documentation prose so it reads like the rest of this site, in the docs team's shared voice.

langchain-ai/docs

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

agentsope/SkillAlchemy

Starting point for LangChain, LangGraph and Deep Agents projects: picks the right layer for the task, then points to install steps, setup and the next skill to load.

langchain-ai/langchain-skills

Build stateful, durable agent workflows with LangGraph. An agent skill from langchain-ai/docs.

langchain-ai/docs

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 using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications.

langchain-ai/langchain-skills

Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily.

langchain-ai/langchain-skills

Scaffold a minimal local LangGraph agent in Python by following the official quickstart.

langchain-ai/langchain-skills

Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart.

langchain-ai/langchain-skills

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

langchain-ai/langchain-skills

Scaffold a minimal local LangChain agent in Python by following the official quickstart.

langchain-ai/langchain-skills

Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart.

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

Build original LangGraph agents for Warden Protocol and prepare them for publishing in Warden Studio.

LeoYeAI/openclaw-master-skills

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

Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span…

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