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LangChain Production Deployment

langchain-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Guides production deployment of LangChain applications via LangServe, Docker, Cloud Run, and LangSmith observability, covering containerization, API setup, and health checks for reliable production infrastructure.

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 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 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.

Langfuse CI Integration

langfuse-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Configure Langfuse observability and prompt management across CI/CD workflows, covering automated trace validation, prompt regression suites, prompt deployment, and quality score monitoring via GitHub Actions.

Langfuse Trace Starter

langfuse-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Provides a minimal Langfuse trace example that initializes the client, records spans and generations, flushes data, and logs a trace URL—ideal when starting integrations, validating setup, or learning trace patterns.

Langfuse Observability Setup

langfuse-observability

jeremylongshore/claude-code-plugins-plus-skills

Set up comprehensive Langfuse observability with Prometheus metrics, Grafana dashboards, and AlertManager rules to monitor LLM operations, track latency, costs, and errors, and ensure integration health.

Lindy Common Errors

lindy-common-errors

jeremylongshore/claude-code-plugins-plus-skills

Guides developers through diagnosing Lindy AI SDK incidents, covering authentication, rate limits, agent, and tool failures, plus checklists and resources for integration troubleshooting.

Lindy Enterprise RBAC

lindy-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Sets up Lindy AI’s enterprise role-based access control so teams assign Owners, Editors, and Viewers to workspaces, manage visibility, audit agent access, and enforce scoped keys across integrations.

Lindy Hello World

lindy-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Provides a minimal Lindy AI agent example for starting a new integration, testing your setup, or learning core API patterns, guiding you through file creation, client initialization, and first agent execution.

Lindy Incident Runbook

lindy-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

Structured incident response runbook for Lindy AI integrations, guiding teams through diagnostics, severity tiers, escalation, and post-mortem steps during outages.

Lindy Rate Limit Guide

lindy-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Guides Lindy AI developers through API and agent action rate limit handling, covering request throttling, agent budgets, webhook controls, and error recovery to keep integrations stable.

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