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LangChain Auth Setup

langchain-install-auth
jeremylongshore/claude-code-plugins-plus-skills
121
Guides installing LangChain SDK/CLI, configuring provider API keys, setting environment variables or .env, and verifying LLM connections for new integrations or project initialization.
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LangChain Rate Limits

langchain-rate-limits
jeremylongshore/claude-code-plugins-plus-skills
161
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.
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LangChain Security Best Practices Guide

langchain-security-basics
jeremylongshore/claude-code-plugins-plus-skills
154
This guide outlines essential security practices for deploying production-grade LLM applications using LangChain. It covers secure secrets management, defending against prompt injection, implementing sandboxed tool execution, validating model outputs for sensitive data, and setting up comprehensive audit logging, ensuring robust and secure AI deployment.
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Langfuse Error Troubleshooting

langfuse-common-errors
jeremylongshore/claude-code-plugins-plus-skills
403
Guides developers through identifying, diagnosing, and fixing the most frequent Langfuse SDK errors—from auth failures to missing traces—by offering command snippets, trace handling tips, and environment checks for reliable integrations.
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Langfuse Data Lifecycle

langfuse-data-handling
jeremylongshore/claude-code-plugins-plus-skills
72
Manage Langfuse trace exports, retention policies, GDPR compliance, anonymization, and audit logging to keep observability data secure while fulfilling organizational and regulatory requirements.
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Collect Langfuse Diagnostic Evidence Bundle

langfuse-debug-bundle
jeremylongshore/claude-code-plugins-plus-skills
212
This bundle collects comprehensive diagnostic evidence for Langfuse support tickets and troubleshooting. It gathers system environment details (Node.js, Python, OS), installed SDK versions, API connectivity status, and redacted application logs. Use this when encountering persistent or complex Langfuse issues to provide full context to support teams.
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Langfuse Incident Response Runbook

langfuse-incident-runbook
jeremylongshore/claude-code-plugins-plus-skills
282
A comprehensive guide for troubleshooting and resolving Langfuse-related incidents and outages. It provides step-by-step procedures for initial triage, severity assessment, implementing fallback modes, and resolving common issues like missing traces or rate limits, ensuring continuous observability monitoring for LLM applications.
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Langfuse Local Dev Loop

langfuse-local-dev-loop
jeremylongshore/claude-code-plugins-plus-skills
307
Guide for configuring Langfuse local development with hot reload, immediate trace visibility, and debugging utilities so you can iterate rapidly on LLM apps with Node.js or Python.
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Configure Multi-Environment Langfuse Setup

langfuse-multi-env-setup
jeremylongshore/claude-code-plugins-plus-skills
107
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.
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Langfuse Production Deployment Checklist

langfuse-prod-checklist
jeremylongshore/claude-code-plugins-plus-skills
262
A comprehensive checklist and guide for deploying Langfuse observability to a production environment. It covers best practices for verifying production configuration, implementing robust error handling, ensuring graceful shutdown, and executing pre-deployment validation scripts to guarantee system stability and reliability.
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Optimizing LLM Observability Rate Limiting

langfuse-rate-limits
jeremylongshore/claude-code-plugins-plus-skills
446
A comprehensive guide on implementing robust strategies for high-volume LLM observability workloads using Langfuse. Learn to manage API rate limits by implementing exponential backoff with jitter, optimizing SDK batching settings, controlling concurrency with queues, and utilizing configurable sampling to prevent data loss during periods of high traffic.
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Langfuse Webhooks: Prompt Event Integration

langfuse-webhooks-events
jeremylongshore/claude-code-plugins-plus-skills
495
Master the configuration of Langfuse webhooks to capture crucial prompt lifecycle events (Created, Updated, Deleted). This skill guides you through building a secure endpoint to intercept these events, enabling powerful, automated integrations. Use cases include triggering CI/CD pipelines upon production prompt changes, syncing data to external systems, or notifying teams via Slack.
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