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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 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.

Firecrawl Production Deployment Checklist

firecrawl-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist for securely deploying and validating applications using Firecrawl's core APIs (scrape, crawl, map, extract) in a production environment. It covers critical areas including secure credential management, implementing crawl safety limits, robust error handling (rate limits, authentication failures), establishing monitoring alerts, and executing necessary rollback procedures.

Fireflies AI Observability Monitoring

fireflies-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive toolkit for monitoring the health and performance of Fireflies.ai integration. It tracks crucial metrics such as API connectivity, webhook delivery status, transcript processing latency, and seat utilization. Built using Prometheus metrics and suitable for Grafana dashboards, ensuring reliable data pipeline monitoring for engineering teams.

Fireflies Production Deployment Checklist

fireflies-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive, step-by-step checklist for deploying Fireflies.ai integrations to a live production environment. This guide ensures API key management, webhook setup, robust health checks (including a TypeScript example), continuous monitoring, and a defined rollback procedure are all executed correctly for a successful go-live.

Flask ML API Creator

flask-ml-api-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates Flask-based machine learning API deployment by guiding you through best practices, generating production code/configurations, and validating outputs for serving, monitoring, and MLOps pipelines.

Fluentd Config Generator

fluentd-config-generator

jeremylongshore/claude-code-plugins-plus-skills

Automates fluentd configuration generation for DevOps teams, guiding best practices across Kubernetes, Terraform, monitoring, and CI/CD while validating production-ready outputs.

Frontend Performance Patterns

frontend-excellence

rohitg00/awesome-claude-code-toolkit

Guides React Server Components workflows, streaming SSR, code splitting, bundle/image/font optimizations, and Core Web Vitals monitoring to keep Next.js frontends fast and responsive.

Implement Gamma API Observability

gamma-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive solution for implementing robust observability for Gamma API integrations. This pattern provides structured logging, detailed metrics tracking (including request counts, error rates, latency, and credit consumption), and health check endpoints. It is essential for monitoring the reliability and performance of your application when using the Gamma API in a production environment.

Production Readiness Checklist For Integrations

gamma-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive, multi-stage checklist designed to ensure that any third-party or internal integration is robust, secure, and fully functional before being deployed to a live production environment. It covers critical areas including API security, error handling, performance optimization, monitoring setup, and disaster recovery planning.

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