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LangChain Data Privacy

langchain-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Provides LangChain data privacy and handling best practices, covering PII detection, masking, retention, consent, and audit logging so LLM applications can stay compliant when processing sensitive inputs.

LangChain Enterprise RBAC

langchain-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Provides a reusable RBAC framework for LangChain apps, covering tenant-aware users, permission sets, model gating, isolation, and token quotas so enterprises can secure multi-tenant LLM deployments.

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 Auth Setup

langchain-install-auth

jeremylongshore/claude-code-plugins-plus-skills

Guides installing LangChain SDK/CLI, configuring provider API keys, setting environment variables or .env, and verifying LLM connections for new integrations or project initialization.

LangChain Performance Tuning

langchain-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Step-by-step guidance for benchmarking LangChain apps, enabling caching, batching, streaming, and prompt/model tuning to cut latency, boost throughput, and improve resource use when a pipeline feels slow.

LangChain Rate Limits

langchain-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Provides practical guidance and reusable helpers for LangChain applications to respect API quotas by combining built-in retry settings, tenacity-based exponential backoff, synchronous and asynchronous rate limiters, and batch concurrency controls.

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.

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.

Learning Rate Scheduler

learning-rate-scheduler

jeremylongshore/claude-code-plugins-plus-skills

Provides automated guidance for configuring learning rate schedulers during ML training, covering best practices, setup patterns, and framework-ready code snippets for PyTorch, TensorFlow, and Scikit-learn while validating against common standards.

LibFuzzer Coverage Fuzzing

trailofbits/skills

LibFuzzer is LLVM’s in-process coverage-guided fuzzer for C/C++ projects compiled with Clang, providing a quick harness-based setup that can later transition to more advanced fuzzers while maintaining reproducible, high-throughput testing.

Lindy Debug Toolkit

lindy-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

Provides Lindy AI agents with a step-by-step diagnostics suite for environment info, API checks, agent state, run history, and support bundle generation when investigating issues.

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