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LangChain Hello World

langchain-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Provides a minimal LangChain example that walks through defining a prompt, chaining it to an LLM, and invoking it from Python or TypeScript to confirm the integration setup and learn basic chain/prompt patterns.

LangChain Incident Runbook

langchain-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

Structured incident response runbook for LangChain production issues, covering detection, diagnostics, fallback strategies, and recovery steps to keep LLM services available when outages or high error rates occur.

LangChain Migration Deep Dive

langchain-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through complete LangChain migrations, covering assessment, SDK refactors, RAG/agent transitions, parallel validation, and feature-flag rollouts for legacy LLM systems.

LangChain Observability Setup

langchain-observability

jeremylongshore/claude-code-plugins-plus-skills

Guide for instrumenting LangChain applications with LangSmith tracing, Prometheus metrics, OpenTelemetry spans, structured logging, Grafana dashboards, and alerting to monitor health and performance in staging or production.

LangChain Production Checklist

langchain-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Guides LangChain teams through a production deployment checklist covering security, resilience, observability, performance, testing, and cost controls so you can validate readiness before launch or audit live systems.

LangChain Reference Architecture

langchain-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides production-ready LangChain architectural patterns, covering layered services, LLM provider abstraction, chain registry, RAG flows, and multi-agent orchestration for scalable enterprise apps.

LangChain SDK Patterns

langchain-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Provides production-ready LangChain SDK patterns for chains, agents, and memory, covering type-safe outputs, fallbacks, async batching, streaming, caching, and structured error handling to keep integrations reliable.

LangChain Security Practices

langchain-security-basics

jeremylongshore/claude-code-plugins-plus-skills

Guides securing LangChain deployments with secrets management, prompt injection mitigation, safe tool execution, output validation, and audit logging for production readiness.

LangChain Upgrade Guide

langchain-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through checking versions, updating imports, migrating chains/agents/memories, upgrading packages, and validating tests when moving between LangChain releases.

LangChain Webhooks Events

langchain-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

Build LangChain callback handlers that push LLM, chain, and tool events to webhooks, stream tokens via WebSocket/SSE, and coordinate real-time integrations.

LangSmith Trace Debugger

langsmith-fetch

ComposioHQ/awesome-claude-skills

Fetch execution traces from LangSmith Studio to inspect LangChain/LangGraph agent runs, analyze errors, tool calls, memory usage, and performance, and export sessions for deeper diagnostics using the langsmith-fetch CLI.

LLM Prompt Optimization

llm-application-dev-prompt-optimize

sickn33/antigravity-awesome-skills

Guides expert prompt engineers through advanced LLM prompt optimization techniques—constitutional AI, chain-of-thought reasoning, and model-specific tuning—to boost accuracy, reduce hallucinations, and cut token costs.

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