Claude Skills by jeremylongshore

'Configure Langfuse CI/CD integration with GitHub Actions and automated

'Diagnose and fix common Langfuse errors and exceptions.

'Execute Langfuse primary workflow: Tracing LLM calls and spans.

'Execute Langfuse secondary workflow: Evaluation, scoring, and datasets.

'Monitor and optimize LLM costs using Langfuse analytics and dashboards.

'Manage Langfuse data export, retention, and compliance requirements.

'Collect Langfuse debug evidence for support tickets and troubleshooting.

'Deploy Langfuse with your application across different platforms.

'Configure Langfuse enterprise organization management and access control.

'Create a minimal working Langfuse trace example.

'Troubleshoot and respond to Langfuse-related incidents and outages.

'Install and configure Langfuse SDK authentication for LLM observability.

'Set up Langfuse local development workflow with hot reload and debugging.

'Execute complex Langfuse migrations including data migration and platform

'Configure Langfuse across development, staging, and production environments.

'Set up comprehensive observability for Langfuse with metrics, dashboards,

'Optimize Langfuse tracing performance for high-throughput applications.

'Langfuse production readiness checklist and verification.

'Implement Langfuse rate limiting, batching, and backoff patterns.

'Production-grade Langfuse architecture patterns and best practices.

'Langfuse SDK best practices, patterns, and idiomatic usage.

'Implement Langfuse security best practices for API keys and data privacy.

'Upgrade Langfuse SDK versions and migrate between API changes.

'Configure Langfuse webhooks for prompt change notifications and event-driven

'Configure CI/CD pipelines for testing Lindy AI agent integrations.

'Troubleshoot common Lindy AI agent errors and workflow failures.

'Build and configure multi-step Lindy AI agent workflows.

'Configure Lindy triggers, scheduling, multi-agent delegation, and automation.

'Optimize Lindy AI costs through credit management, model selection,

'Data handling best practices for Lindy AI agents.

'Comprehensive debugging toolkit for Lindy AI agents.

'Deploy applications that integrate with Lindy AI agents.

'Configure enterprise role-based access control for Lindy AI workspaces.

'Create your first Lindy AI agent with a real trigger and action.

'Incident response procedures for Lindy AI agent failures and outages.

'Set up a Lindy account and authenticated webhook trigger.

'Set up local development workflow for testing Lindy AI agent integrations.

'Advanced migration strategies for moving to Lindy AI from other platforms.

'Configure Lindy AI across development, staging, and production environments.

'Monitor Lindy AI agent health, task success rates, and credit consumption.

'Optimize Lindy AI agent execution speed, reliability, and cost efficiency.

'Production readiness checklist for Lindy AI agent deployments.

'Manage Lindy AI credits, rate limits, and usage optimization.

'Reference architectures for Lindy AI agent integrations.

'Lindy integration patterns for webhook handling, HTTP actions, and

'Implement security best practices for Lindy agents and integrations.

'Manage Lindy agent configuration changes, platform updates, and migrations.

'Configure Lindy AI webhook triggers, callback patterns, and event handling.

'Integrate Linear with GitHub Actions CI/CD pipelines.

'Diagnose and fix common Linear API and SDK errors.