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Langfuse Local Dev Workflow Setup

langfuse-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a comprehensive local development setup for LLM applications using Langfuse. It enables fast iteration cycles, real-time trace debugging, and hot reloading, making it ideal for developers building and testing complex AI workflows locally. Instructions cover environment setup, advanced SDK usage, and optional self-hosted Docker deployment.

Configure Multi-Environment Langfuse Setup

langfuse-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the best practices for configuring Langfuse across development, staging, and production environments. It covers essential steps including environment-specific API key management, secret integration (AWS/GCP), and implementing reliable CI/CD pipelines to ensure data isolation and prevent cross-environment leakage, maintaining observability throughout the software lifecycle.

Langfuse LLM Observability Architecture Patterns

langfuse-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

This guide provides production-grade architecture patterns for implementing robust LLM observability using Langfuse. It covers singleton SDK setup, context propagation across asynchronous boundaries, Express middleware for automatic tracing, and cross-service trace correlation using OpenTelemetry. Ideal for designing enterprise-level, scalable tracing infrastructure for LLM applications.

Langfuse SDK Tracing Patterns and Best Practices

langfuse-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide covering production-grade patterns for using the Langfuse SDK. Learn how to implement robust LLM observability, including singleton client setup, using the `observe` wrapper for automatic span creation, and utilizing `startActiveObservation` for fine-grained trace control. Essential for maintaining high standards of observability in AI-powered applications.

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.

Configure Lindy AI API and Webhooks

lindy-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the end-to-end setup process for integrating Lindy AI into external applications. Learn how to obtain and manage API keys, install and initialize SDKs (Python/Node.js), and securely configure webhook authentication endpoints to enable programmatic access and trigger AI agents.

Multi-Environment AI System Deployment

lindy-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

This guide details the best practices for configuring and isolating AI agents across development, staging, and production environments. It covers the setup of separate workspaces, secure secret management using tools like Vault/AWS/GCP, and integrating environment-aware logic into CI/CD pipelines to ensure data integrity and smooth promotion from dev to prod.

Production Readiness Checklist for AI Agents

lindy-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive checklist guides the deployment of AI agents into a live production environment. It covers critical areas including security best practices (API key management, SSO), robust error handling, monitoring setup, operational runbooks, and compliance adherence (HIPAA, GDPR). Use this when validating an agent for go-live to ensure maximum reliability and stability.

Linear SDK: Authentication and Integration Setup

linear-install-auth

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for installing and configuring the Linear SDK for TypeScript/JavaScript. It details two primary authentication methods: using a personal API key for scripts and server-side tools, and implementing the full OAuth 2.0 flow (including PKCE and token refreshing) for user-facing applications. Essential for integrating Linear functionality into custom software.

Multi-Environment Linear API Setup

linear-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

A robust pattern for configuring API clients to interact with Linear across multiple isolated environments (Development, Staging, Production). This setup ensures that environment-specific credentials (API keys, webhooks) are securely loaded from secret managers (Vault, AWS, GCP) and implements environment guards to prevent accidental operations in the wrong environment. Ideal for professional CI/CD pipelines.

Linux Production Shell Scripts

linux-production-shell-scripts

sickn33/antigravity-awesome-skills

Provides production-ready bash templates for Linux admins to automate backups, monitor resources, manage users, and handle security tasks across servers and pen-testing setups.

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