Claude Skills by jeremylongshore

Execute migrate and upgrade Kling AI SDK versions safely. Use when updating dependencies or migrating configurations. Trigger with phrases like 'klingai upgrade', 'kling ai migration', 'update klingai', 'klingai breaking changes'.

Build usage analytics and reporting for Kling AI. Use when tracking generation patterns, analyzing costs, or creating dashboards. Trigger with phrases like 'klingai analytics', 'kling ai usage report', 'klingai metrics', 'video generation stats'.

Execute extend video duration using Kling AI continuation features. Use when creating longer videos from shorter clips or building seamless sequences. Trigger with phrases like 'klingai extend video', 'kling ai video continuation', 'klingai longer video', 'extend klingai clip'.

Configure webhooks for Kling AI job completion notifications. Use when building event-driven video pipelines or need real-time job status updates. Trigger with phrases like 'klingai webhook', 'kling ai callback', 'klingai notifications', 'video completion webhook'.

Configure LangChain CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating LangChain tests into your build process. Trigger with phrases like "langchain CI", "langchain GitHub Actions", "langchain automated tests", "CI langchain", "langchain pipeline".

Diagnose and fix common LangChain errors and exceptions. Use when encountering LangChain errors, debugging failures, or troubleshooting integration issues. Trigger with phrases like "langchain error", "langchain exception", "debug langchain", "langchain not working", "langchain troubleshoot".

Build LangChain chains and prompts for structured LLM workflows. Use when creating prompt templates, building LCEL chains, or implementing sequential processing pipelines. Trigger with phrases like "langchain chains", "langchain prompts", "LCEL workflow", "langchain pipeline", "prompt template".

Build LangChain agents with tools for autonomous task execution. Use when creating AI agents, implementing tool calling, or building autonomous workflows with decision-making. Trigger with phrases like "langchain agents", "langchain tools", "tool calling", "langchain autonomous", "create agent", "function calling".

Optimize LangChain API costs and token usage. Use when reducing LLM API expenses, implementing cost controls, or optimizing token consumption in production. Trigger with phrases like "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget".

Implement LangChain data privacy and handling best practices. Use when handling sensitive data, implementing PII protection, or ensuring data compliance in LLM applications. Trigger with phrases like "langchain data privacy", "langchain PII", "langchain GDPR", "langchain data handling", "langchain compliance".

Collect LangChain debug evidence for troubleshooting and support. Use when preparing bug reports, collecting traces, or gathering diagnostic information for complex issues. Trigger with phrases like "langchain debug bundle", "langchain diagnostics", "langchain support info", "collect langchain logs", "langchain trace".

Deploy LangChain integrations to production environments. Use when deploying to cloud platforms, configuring containers, or setting up production infrastructure for LangChain apps. Trigger with phrases like "deploy langchain", "langchain production deploy", "langchain cloud run", "langchain docker", "langchain kubernetes".

Implement enterprise role-based access control for LangChain applications. Use when implementing user permissions, multi-tenant access, or enterprise security controls for LLM applications. Trigger with phrases like "langchain RBAC", "langchain permissions", "langchain access control", "langchain multi-tenant", "langchain enterprise auth".

Create a minimal working LangChain example. Use when starting a new LangChain integration, testing your setup, or learning basic LangChain patterns with chains and prompts. Trigger with phrases like "langchain hello world", "langchain example", "langchain quick start", "simple langchain code", "first langchain app".

Incident response procedures for LangChain production issues. Use when responding to production incidents, diagnosing outages, or implementing emergency procedures for LLM applications. Trigger with phrases like "langchain incident", "langchain outage", "langchain production issue", "langchain emergency", "langchain down".

Install and configure LangChain SDK/CLI authentication. Use when setting up a new LangChain integration, configuring API keys, or initializing LangChain in your project. Trigger with phrases like "install langchain", "setup langchain", "langchain auth", "configure langchain API key", "langchain credentials".

Configure LangChain local development workflow with hot reload and testing. Use when setting up development environment, configuring test fixtures, or establishing a rapid iteration workflow for LangChain apps. Trigger with phrases like "langchain dev setup", "langchain local development", "langchain testing", "langchain development workflow".

Complex migration strategies for LangChain applications. Use when migrating from legacy LLM frameworks, refactoring large codebases, or implementing phased migration approaches. Trigger with phrases like "langchain migration strategy", "migrate to langchain", "langchain refactor", "legacy LLM migration", "langchain transition".

Configure LangChain multi-environment setup for dev/staging/prod. Use when managing multiple environments, configuring environment-specific settings, or implementing environment promotion workflows. Trigger with phrases like "langchain environments", "langchain staging", "langchain dev prod", "environment configuration", "langchain env setup".

Set up comprehensive observability for LangChain integrations. Use when implementing monitoring, setting up dashboards, or configuring alerting for LangChain application health. Trigger with phrases like "langchain monitoring", "langchain metrics", "langchain observability", "langchain tracing", "langchain alerts".

Optimize LangChain application performance and latency. Use when reducing response times, optimizing throughput, or improving the efficiency of LangChain pipelines. Trigger with phrases like "langchain performance", "langchain optimization", "langchain latency", "langchain slow", "speed up langchain".

Execute LangChain production deployment checklist. Use when preparing for production launch, validating deployment readiness, or auditing existing production LangChain applications. Trigger with phrases like "langchain production", "langchain prod ready", "deploy langchain", "langchain launch checklist", "production checklist".

Implement LangChain rate limiting and backoff strategies. Use when handling API quotas, implementing retry logic, or optimizing request throughput for LLM providers. Trigger with phrases like "langchain rate limit", "langchain throttling", "langchain backoff", "langchain retry", "API quota".

Implement LangChain reference architecture patterns for production. Use when designing LangChain systems, implementing scalable patterns, or architecting enterprise LLM applications. Trigger with phrases like "langchain architecture", "langchain design", "langchain scalable", "langchain enterprise", "langchain patterns".

Apply production-ready LangChain SDK patterns for chains, agents, and memory. Use when implementing LangChain integrations, refactoring code, or establishing team coding standards for LangChain applications. Trigger with phrases like "langchain SDK patterns", "langchain best practices", "langchain code patterns", "idiomatic langchain", "langchain architecture".

Apply LangChain security best practices for production. Use when securing API keys, preventing prompt injection, or implementing safe LLM interactions. Trigger with phrases like "langchain security", "langchain API key safety", "prompt injection", "langchain secrets", "secure langchain".

Plan and execute LangChain SDK upgrades and migrations. Use when upgrading LangChain versions, migrating from legacy patterns, or updating to new APIs after breaking changes. Trigger with phrases like "upgrade langchain", "langchain migration", "langchain breaking changes", "update langchain version", "langchain 0.3".

Implement LangChain callback and event handling for webhooks. Use when integrating with external systems, implementing streaming, or building event-driven LangChain applications. Trigger with phrases like "langchain callbacks", "langchain webhooks", "langchain events", "langchain streaming", "callback handler".

Configure Langfuse CI/CD integration with GitHub Actions and automated testing. Use when setting up automated testing, configuring CI pipelines, or integrating Langfuse tests into your build process. Trigger with phrases like "langfuse CI", "langfuse GitHub Actions", "langfuse automated tests", "CI langfuse", "langfuse pipeline".

Diagnose and fix common Langfuse errors and exceptions. Use when encountering Langfuse errors, debugging missing traces, or troubleshooting integration issues. Trigger with phrases like "langfuse error", "fix langfuse", "langfuse not working", "debug langfuse", "traces not appearing".

Execute Langfuse primary workflow: Tracing LLM calls and spans. Use when implementing LLM tracing, building traced AI features, or adding observability to existing LLM applications. Trigger with phrases like "langfuse tracing", "trace LLM calls", "add langfuse to openai", "langfuse spans", "track llm requests".

Execute Langfuse secondary workflow: Evaluation and scoring. Use when implementing LLM evaluation, adding user feedback, or setting up automated quality scoring for AI outputs. Trigger with phrases like "langfuse evaluation", "langfuse scoring", "rate llm outputs", "langfuse feedback", "evaluate ai responses".

Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost anomalies, or implementing cost controls for AI applications. Trigger with phrases like "langfuse costs", "LLM spending", "track AI costs", "langfuse token usage", "optimize LLM budget".

Manage Langfuse data export, retention, and compliance requirements. Use when exporting trace data, configuring retention policies, or implementing data compliance for LLM observability. Trigger with phrases like "langfuse data export", "langfuse retention", "langfuse GDPR", "langfuse compliance", "export langfuse traces".

Collect Langfuse debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Langfuse problems. Trigger with phrases like "langfuse debug", "langfuse support bundle", "collect langfuse logs", "langfuse diagnostic", "langfuse troubleshoot".

Deploy Langfuse with your application across different platforms. Use when deploying Langfuse to Vercel, AWS, GCP, or Docker, or integrating Langfuse into your deployment pipeline. Trigger with phrases like "deploy langfuse", "langfuse Vercel", "langfuse AWS", "langfuse Docker", "langfuse production deploy".

Configure Langfuse enterprise organization management and access control. Use when implementing team access controls, configuring organization settings, or setting up role-based permissions for Langfuse projects. Trigger with phrases like "langfuse RBAC", "langfuse teams", "langfuse organization", "langfuse access control", "langfuse permissions".

Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns. Trigger with phrases like "langfuse hello world", "langfuse example", "langfuse quick start", "first langfuse trace", "simple langfuse code".

Troubleshoot and respond to Langfuse-related incidents and outages. Use when experiencing Langfuse outages, debugging production issues, or responding to LLM observability incidents. Trigger with phrases like "langfuse incident", "langfuse outage", "langfuse down", "langfuse production issue", "langfuse troubleshoot".

Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration, configuring API keys, or initializing Langfuse tracing in your project. Trigger with phrases like "install langfuse", "setup langfuse", "langfuse auth", "configure langfuse API key", "langfuse tracing setup".

Set up Langfuse local development workflow with hot reload and debugging. Use when developing LLM applications locally, debugging traces, or setting up a fast iteration loop with Langfuse. Trigger with phrases like "langfuse local dev", "langfuse development", "debug langfuse traces", "langfuse hot reload", "langfuse dev workflow".

Execute complex Langfuse migrations including data migration and platform changes. Use when migrating from other observability platforms, moving between Langfuse instances, or performing major infrastructure migrations. Trigger with phrases like "langfuse migration", "migrate to langfuse", "langfuse data migration", "langfuse platform migration", "switch to langfuse".

Configure Langfuse across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment keys, or implementing environment-specific Langfuse configurations. Trigger with phrases like "langfuse environments", "langfuse staging", "langfuse dev prod", "langfuse environment setup", "langfuse config by env".

Set up comprehensive observability for Langfuse with metrics, dashboards, and alerts. Use when implementing monitoring for LLM operations, setting up dashboards, or configuring alerting for Langfuse integration health. Trigger with phrases like "langfuse monitoring", "langfuse metrics", "langfuse observability", "monitor langfuse", "langfuse alerts", "langfuse dashboard".

Optimize Langfuse tracing performance for high-throughput applications. Use when experiencing latency issues, optimizing trace overhead, or scaling Langfuse for production workloads. Trigger with phrases like "langfuse performance", "optimize langfuse", "langfuse latency", "langfuse overhead", "langfuse slow".

Langfuse production readiness checklist and verification. Use when preparing to deploy Langfuse to production, validating production configuration, or auditing existing setup. Trigger with phrases like "langfuse production", "langfuse prod ready", "deploy langfuse", "langfuse checklist", "langfuse go live".

Implement Langfuse rate limiting, batching, and backoff patterns. Use when handling rate limit errors, optimizing trace ingestion, or managing high-volume LLM observability workloads. Trigger with phrases like "langfuse rate limit", "langfuse throttling", "langfuse 429", "langfuse batching", "langfuse high volume".

Production-grade Langfuse architecture patterns and best practices. Use when designing LLM observability infrastructure, planning Langfuse deployment, or implementing enterprise-grade tracing architecture. Trigger with phrases like "langfuse architecture", "langfuse design", "langfuse infrastructure", "langfuse enterprise", "langfuse at scale".

Langfuse SDK best practices, patterns, and idiomatic usage. Use when learning Langfuse SDK patterns, implementing proper tracing, or following best practices for LLM observability. Trigger with phrases like "langfuse patterns", "langfuse best practices", "langfuse SDK guide", "how to use langfuse", "langfuse idioms".

Implement Langfuse security best practices for API keys and data privacy. Use when securing Langfuse integration, protecting API keys, or implementing data privacy controls for LLM observability. Trigger with phrases like "langfuse security", "langfuse API key security", "langfuse data privacy", "secure langfuse", "langfuse PII".