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Detect Crypto Arbitrage Opportunities

finding-arbitrage-opportunities

jeremylongshore/claude-code-plugins-plus-skills

This tool detects profitable arbitrage opportunities across centralized exchanges (CEX), decentralized exchanges (DEX), and cross-chain markets in real-time. It aggregates price data, calculates net profit after fees, and identifies various arbitrage paths, including direct, triangular, and cross-chain opportunities. It is designed for quantitative traders needing to monitor market efficiency and exploit price discrepancies.

Firecrawl Architecture Variants Guide

firecrawl-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to selecting and implementing the optimal Firecrawl architecture pattern for various data ingestion needs. Learn to choose between On-Demand, Scheduled Crawl Pipelines, and Real-Time Ingestion Pipelines based on data volume, required latency, and complexity. This is essential for designing scalable, production-grade scraping infrastructure, including RAG and knowledge base applications.

Firecrawl Webhook Event Handling Guide

firecrawl-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

Master the implementation of Firecrawl webhooks for robust, real-time handling of asynchronous crawling and batch scraping jobs. Instead of inefficiently polling the crawl status, configure webhook endpoints to receive instant POST events (e.g., `crawl.page`, `crawl.completed`). This guide covers event types, signature verification using HMAC-SHA256, and processing streamed data for building advanced data pipelines.

Handling Fireflies Webhooks and Events

fireflies-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This script provides a complete solution for setting up a webhook receiver for Fireflies.ai. It includes crucial HMAC-SHA256 signature verification to ensure data integrity, and then uses the Fireflies API to fetch the full transcript details, summary, and action items. Ideal for building real-time meeting intelligence pipelines, integrating meeting data into CRMs, or automating task creation.

On-Device LLM Integration for Apple Platforms

foundation-models-on-device

affaan-m/everything-claude-code

This guide details integrating FoundationModels for running Large Language Models (LLMs) directly on the device (iOS 26). It covers advanced patterns including text generation, extracting structured data using @Generable, implementing custom tool calling for domain logic, and streaming responses for real-time UI updates. Key features emphasize strong privacy and offline capability, ensuring no data leaves the device.

Building Real-Time Gamma Event Handlers

gamma-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This guide demonstrates how to build a resilient, event-driven architecture for Gamma API integrations when native webhooks are unavailable. It utilizes a poll-based pattern, creating synthetic application-level events (start, completed, failed) by wrapping polling logic within an EventEmitter or message queue. Ideal for building background workers that reliably track and react to the full lifecycle of content generation.

GraphQL API Architect

graphql-architect

Jeffallan/claude-skills

This skill guides the design and implementation of complex GraphQL APIs. It specializes in schema design, utilizing Apollo Federation for distributed microservices, optimizing resolvers with DataLoader for N+1 prevention, and implementing real-time subscriptions. It covers security, complexity analysis, and adherence to best practices for building scalable, high-performance graph architectures.

GraphQL Subscription Setup

graphql-subscription-setup

jeremylongshore/claude-code-plugins-plus-skills

Automates GraphQL subscription onboarding for API development, guiding best practices, code scaffolding, and validation when configuring real-time endpoints.

Groq Chat, Tools, and Structured Output

groq-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to implementing advanced LLM patterns using the Groq API. This workflow demonstrates how to handle chat completions, robust tool/function calling for integrating external services (like weather or search), and enforcing structured data output using JSON mode and strict schemas. Ideal for building real-time, production-grade AI features.

Groq Multimodal Workflow: Audio, Vision, TTS

groq-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive workflow solution for Groq, enabling powerful multimodal tasks beyond simple chat completions. It supports ultra-fast audio transcription (Whisper), detailed image understanding using vision models, and professional text-to-speech generation. Use this for real-time content processing, multimedia analysis, and automated content creation.

Observability for Groq Integrations

groq-observability

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive observability tools for Groq API integrations. It instruments the client to track critical performance metrics such as Time to First Token (TTFT), total latency, token throughput, and estimated cost. Furthermore, it sets up Prometheus exporters and alert rules to monitor rate limit status and detect performance degradation in real-time, ensuring robust production monitoring.

Groq Event-Driven Architecture Patterns

groq-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to building scalable, event-driven architectures using the Groq API. Learn advanced patterns including Server-Sent Events (SSE) for real-time streaming, batch processing with job queues (e.g., BullMQ), and processing incoming webhook events for robust LLM pipelines.

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