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Monitoring Exa Search Performance Metrics

exa-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and code implementation for setting up observability, metrics, and alerting for Exa search integrations. This skill tracks crucial KPIs such as search latency (P50/P95), error rates, result usage, and cache hit ratios. It is essential for monitoring search quality, debugging performance bottlenecks, and managing API resource usage in production environments.

Exa Production Deployment Checklist

exa-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist guiding the full lifecycle deployment of Exa search integrations to a production environment. It covers critical stages including pre-deployment security audits, code quality verification, performance baselines, monitoring setup, and emergency rollback procedures. Use this guide when preparing for a major launch or verifying production readiness.

Exa Webhooks For Event Monitoring

exa-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

Build robust, event-driven integrations with Exa using scheduled monitoring and content alerts. This skill allows users to establish competitive intelligence pipelines, track content changes over time, and automate research digests. It supports new article detection, similarity monitoring, and reliable webhook delivery via background queues.

FairDB Backup Manager

fairdb-backup-manager

jeremylongshore/claude-code-plugins-plus-skills

Manages FairDB PostgreSQL backups via pgBackRest and Wasabi S3, automating scheduling, integrity verification, PITR restores, monitoring, and compliance reporting for resilient disaster recovery.

Platform APIs for Model Management

sickn33/antigravity-awesome-skills

This skill provides comprehensive APIs and patterns for managing AI models, tracking usage, and handling pricing structures within a platform environment. It is essential for developers needing to integrate robust model lifecycle management, usage monitoring, and billing logic into their applications.

Feature Store Connector

feature-store-connector

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for setting up and validating feature store connectors within ML deployment pipelines, covering best practices, code generation, and production monitoring for inference.

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.

LLM Fine-Tuning Guide

fine-tuning-expert

Jeffallan/claude-skills

Guides ML engineers through dataset prep, PEFT strategy selection, LoRA/QLoRA adapter setup, training monitoring, and deployment checks for practical LLM fine-tuning, quantization, and adapter merge workflows.

Firecrawl Web Automation

firecrawl-automation

ComposioHQ/awesome-claude-skills

Firecrawl Automation lets you use Claude Code to scrape pages, crawl sites, batch URLs, extract structured data, and monitor jobs via the Composio integration, ideal for terminal-driven web data pipelines.

Firecrawl Cost Optimization Guide

firecrawl-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This skill provides advanced techniques to significantly reduce API costs when using Firecrawl for web scraping. It covers best practices such as setting crawl limits, utilizing batch scraping for known URLs, implementing local caching, and monitoring credit usage. Learn how to efficiently scrape large sites while managing budgets and minimizing unexpected billing spikes.

Web Scraping, Crawling, and Data Extraction API

firecrawl-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Firecrawl provides a comprehensive API for web data harvesting. It enables users to perform single-page scraping, multi-page crawling, site mapping (URL discovery), and advanced structured data extraction using Large Language Models (LLMs). Ideal for integrating data pipelines, building web monitoring tools, or conducting market research.

Observability for Web Scraping Pipelines

firecrawl-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive observability patterns for Firecrawl web scraping operations. It covers key metrics such as scrape success rates, credit consumption tracking, content quality assessment, and latency monitoring. Use this skill for implementing robust monitoring dashboards, setting up proactive failure alerts, and optimizing the reliability of web crawling workflows.

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