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Multi-Agent System Design & Evaluation

alirezarezvani/claude-skills

A comprehensive tool for designing, generating schemas, and evaluating complex multi-agent systems. It guides users through defining system requirements, selecting optimal orchestration patterns (Supervisor, Swarm, Pipeline), generating provider-ready tool schemas (Anthropic/OpenAI), and analyzing execution logs for performance bottlenecks, cost, and latency. This ensures robust, production-grade autonomous workflows.

Capacity Planning Analysis

analyzing-capacity-planning

jeremylongshore/claude-code-plugins-plus-skills

Helps analyze current CPU, memory, storage, and network utilization to forecast future infrastructure needs, identify bottlenecks, and recommend scaling tactics with cost context for proactive capacity management.

Capacity Planning Analysis

analyzing-capacity-planning

jeremylongshore/claude-code-plugins-plus-skills

Helps analyze current CPU, memory, storage, and network utilization to forecast future infrastructure needs, identify bottlenecks, and recommend scaling tactics with cost context for proactive capacity management.

Optimize Apollo Cost and Credit Usage

apollo-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This tool provides comprehensive cost management for Apollo.io API usage. It optimizes credit expenditure by implementing a daily budget tracker, preventing double-enrichment through deduplication, and using a lead scoring mechanism to ensure credits are only spent on high-potential leads. Ideal for large-scale data enrichment tasks to minimize API costs.

Serverless AWS Architecture Guide

aws-solution-architect

alirezarezvani/claude-skills

Design scalable AWS architectures for startups with guided workflows covering requirement gathering, architecture pattern selection, IaC template generation, cost analysis, and deployment/validation using Lambda, API Gateway, ECS, Aurora, and optimization scripts.

Serverless AWS Architecture Guide

aws-solution-architect

alirezarezvani/claude-skills

Design scalable AWS architectures for startups with guided workflows covering requirement gathering, architecture pattern selection, IaC template generation, cost analysis, and deployment/validation using Lambda, API Gateway, ECS, Aurora, and optimization scripts.

Azure Fabric Management SDK for Python

azure-mgmt-fabric-py

sickn33/antigravity-awesome-skills

This SDK provides comprehensive Python access to manage Microsoft Fabric capacities and resources within Azure. Developers can programmatically perform full lifecycle operations, including creating, reading, updating, deleting, suspending, and resuming Fabric capacities. It is essential for automating resource provisioning, monitoring capacity status, and optimizing cloud costs within the Azure ecosystem.

Azure Fabric Management SDK for Python

azure-mgmt-fabric-py

sickn33/antigravity-awesome-skills

This SDK provides comprehensive Python access to manage Microsoft Fabric capacities and resources within Azure. Developers can programmatically perform full lifecycle operations, including creating, reading, updating, deleting, suspending, and resuming Fabric capacities. It is essential for automating resource provisioning, monitoring capacity status, and optimizing cloud costs within the Azure ecosystem.

Automated AWS Resource Cost Cleanup

aws-cost-cleanup

sickn33/antigravity-awesome-skills

This skill provides comprehensive scripts and workflows to automatically identify and remove unused AWS resources across multiple services (EBS, S3, EC2, EIPs). By automating the cleanup of orphaned volumes, old snapshots, and stale data, users can eliminate cloud waste, significantly optimizing their AWS expenditure and ensuring a cost-efficient infrastructure.

Cost Optimization for Data Enrichment

clay-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide details advanced strategies for optimizing and reducing data enrichment spending on platforms like Clay. Techniques include connecting private API keys (for significant savings), optimizing multi-step data pipelines (waterfalls), pre-filtering raw input data to prevent wasted credits, and implementing comprehensive budget monitoring. Ideal for professionals managing high-volume, cost-sensitive data pipelines.

Implementing Fault-Tolerant Data Pipelines

clay-reliability-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to building resilient and fault-tolerant data enrichment pipelines. Learn to implement critical patterns like credit budget circuit breakers, Dead Letter Queues (DLQs) for failed records, and health monitoring to ensure stability and cost control when integrating with external services like Clay.

Optimize Clerk Billing and Usage Costs

clerk-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive strategies to optimize costs associated with Clerk authentication services. It details understanding the MAU pricing model, implementing route-level authentication controls, utilizing caching techniques to reduce API calls, and scripting the cleanup of inactive users, helping maintain compliance and controlling expenditure.

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