INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.

2026-06-07108

langsmith-trace

langchain-ai/skills-benchmarks

INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool.

2026-06-07108

langchain-middleware

langchain-ai/skills-benchmarks

INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.

2026-04-08108

framework-selection

langchain-ai/skills-benchmarks

INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.

2026-03-04108

langchain-oss-primer

langchain-ai/skills-benchmarks

ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any code. Covers framework selection (LangChain vs LangGraph vs Deep Agents), agent archetypes, dependency setup, and which skills to load next based on your decisions.

2026-03-04108

deep-agents-core

langchain-ai/skills-benchmarks

INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.

2026-03-03108

name	docker-patterns
description	Best practices for Docker containerization and multi-stage builds

Docker Containerization Patterns

Build efficient, secure Docker images using modern patterns.

Multi-Stage Builds

Always use multi-stage builds to minimize image size:

# Build stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production

# Production stage
FROM node:20-alpine
WORKDIR /app
COPY --from=builder /app/node_modules ./node_modules
COPY . .
USER node
CMD ["node", "server.js"]

Security Best Practices

Never run as root - use USER directive
Use specific version tags, not latest
Scan images with docker scout or Trivy
Use .dockerignore to exclude sensitive files

Health Checks

HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD curl -f http://localhost:3000/health || exit 1

Compose Patterns

services:
  app:
    build:
      context: .
      target: production
    environment:
      - NODE_ENV=production
    deploy:
      resources:
        limits:
          memory: 512M