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Bright Data Webhook and Event Handling

brightdata-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details how to implement robust webhook endpoints to receive, validate, and process data deliveries from Bright Data's Web Scraper and Datasets APIs. Learn best practices for handling large JSON/NDJSON payloads, verifying authorization headers, processing status notifications, and ensuring data deduplication in automated scraping pipelines.

Configure CAST AI Webhook Notifications

castai-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This guide details how to configure webhook notifications and utilize audit logs from CAST AI. It allows users to set up real-time alerts for critical cluster events like node scaling, cost threshold breaches, and security findings. By integrating with Slack, PagerDuty, and custom HTTP endpoints, users can achieve comprehensive monitoring and automated response for their infrastructure.

Deploying Cohere AI Apps to Cloud Platforms

cohere-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive deployment guides for Cohere API v2 applications across major cloud platforms including Vercel, Fly.io, and Google Cloud Run. It covers critical aspects like secret management, setting up reliable health checks, optimizing performance, and implementing streaming chat endpoints to ensure production readiness.

Setup Cohere SDK Authentication and Usage

cohere-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the process of installing and configuring the Cohere SDK (v2) in both Node.js and Python environments. It covers initial setup, setting API keys via environment variables, and provides full code examples for verifying connectivity across various Cohere endpoints, including Chat, Embed, and Rerank, enabling immediate integration into your AI projects.

Cohere API Observability Monitoring

cohere-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive solution for setting up production-grade observability for Cohere API v2. It integrates Prometheus metrics, OpenTelemetry tracing, and robust alerting mechanisms. This skill tracks critical operational data including per-endpoint latency, token consumption (input/output), error rates, and usage costs, ensuring reliable monitoring for AI-powered applications.

Cohere API Performance Tuning Guide

cohere-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for optimizing Cohere API v2 performance. Learn advanced strategies to improve throughput, reduce latency, and manage costs when using Chat, Embed, and Rerank endpoints. Techniques covered include dynamic model selection based on latency budgets, implementing streaming for faster perceived response times, efficient batch processing for embeddings, vector compression, and robust caching mechanisms.

Cohere API V1 to V2 Migration Guide

cohere-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the necessary steps and breaking changes when migrating from Cohere API v1 to v2. It covers critical updates for SDKs (TypeScript/Python), including changes in chat message formats, role naming conventions, and required parameters for key endpoints like Embed, Rerank, and Tool Use, ensuring smooth API adoption.

Cohere Streaming Events and Connector Implementation

cohere-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide demonstrates how to implement robust, real-time streaming UIs using Cohere's `chatStream` method. It details handling various event types, including content deltas, citation information for RAG, and structured tool call streams. A practical example is provided for creating a Server-Sent Events (SSE) endpoint, making it ideal for front-end integration with advanced AI features.

CoreWeave KServe GPU Inference Deployment

coreweave-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

This guide details the process of deploying production-grade inference services on CoreWeave using KServe. It covers setting up autoscaling, GPU scheduling, and implementing scale-to-zero functionality for efficient ML model serving endpoints. Ideal for MLOps engineers deploying large language models (LLMs) or other complex AI models in a production environment.

CoreWeave Resource Quota Management

coreweave-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

This skill provides methods for managing GPU quota limits and rate restrictions for CoreWeave cloud services. It includes using `kubectl` to check resource quotas and demonstrates implementing robust request queuing mechanisms using Python's `asyncio` library, ensuring stable and efficient resource allocation for high-concurrency inference endpoints.

ElevenLabs SDK Upgrade And Migration Guide

elevenlabs-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive guides for upgrading the ElevenLabs SDK (JS and Python) and migrating between model generations. This guide covers necessary steps for package renaming, model ID changes (e.g., v1 to v3), API endpoint stability, and best practices for maintaining compatibility during major platform updates. Essential for developers working with advanced voice synthesis.

Fathom Webhooks for Meeting Automation

fathom-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This skill provides a comprehensive guide to configuring and handling Fathom webhooks. It allows developers to receive real-time and completed meeting data at a custom endpoint. The payload includes critical information such as meeting summaries, full transcripts, and action items. Ideal for building automated data pipelines, triggering workflows, and integrating meeting intelligence into custom applications.

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