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AWS Cost Optimization and Analysis

aws-cost-optimizer

sickn33/antigravity-awesome-skills

A comprehensive skill for analyzing AWS spending patterns and identifying areas of waste. It provides actionable strategies to reduce cloud costs by detecting idle resources (like unattached EBS volumes or unused Elastic IPs), recommending Reserved Instances, and generating reports using AWS CLI and Cost Explorer data.

Compression Pipeline Optimizer

compression-optimizer

jeremylongshore/claude-code-plugins-plus-skills

Guides users through compression optimizer scenarios within data pipelines, offering best practices, code templates, and validation steps for ETL, transformation, and streaming workflows.

Database Performance Optimizer and Analyst

database-optimizer

Jeffallan/claude-skills

A specialized skill for optimizing database performance and scalability across PostgreSQL and MySQL. It guides users through analyzing slow queries, interpreting execution plans (EXPLAIN ANALYZE), designing optimal indexing strategies, tuning configuration parameters, and resolving bottlenecks like lock contention. Essential for DevOps engineers, database administrators, and backend developers.

Optimize Developer Workflow And Tooling

sickn33/antigravity-awesome-skills

This skill acts as a Developer Experience (DX) specialist, focusing on minimizing development friction and maximizing productivity. It helps optimize environment setup, automate repetitive workflows, enhance tooling, and improve project documentation. Use it when establishing new projects, refining existing development cycles, or troubleshooting workflow bottlenecks to achieve seamless and efficient development.

GPU Resource Optimizer

gpu-resource-optimizer

jeremylongshore/claude-code-plugins-plus-skills

Automates GPU resource optimization for ML deployments by guiding best practices, generating production-ready configurations, and validating setups for model serving, MLOps pipelines, and monitoring.

Instantly Cost and Plan Optimizer

instantly-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This tool is designed to optimize your Instantly.ai usage and associated costs. It performs detailed audits on account utilization, tracks key campaign metrics (open rate, reply rate, bounce rate), and compares your current activity against various pricing tiers (Growth, Hypergrowth, Light Speed). Use this when reviewing billing, assessing efficiency, or selecting the most cost-effective plan.

Npm Scripts Optimizer

npm-scripts-optimizer

jeremylongshore/claude-code-plugins-plus-skills

Automated help for npm script workflows inside DevOps Basics, offering guided best practices, production-ready configs, and validation for CI/CD or infrastructure requests.

Flash Attention Optimizer

optimizing-attention-flash

Orchestra-Research/AI-Research-SKILLs

Flash Attention optimizer delivers 2-4x speedup and 10-20x memory savings for transformer attention, ideal when training or running long-context models that hit GPU memory or latency limits; supports PyTorch native scaled_dot_product_attention, the flash-attn library, H100 FP8 precision, and sliding-window attention.

Deep Learning Optimization

optimizing-deep-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Optimizes deep learning models by analyzing architecture, data, and metrics to select optimizers, learning rate schedules, and regularization strategies, then outputs optimized code and evaluates accuracy, time, and resource usage.

LLM Prompt Optimizer

optimizing-prompts

jeremylongshore/claude-code-plugins-plus-skills

Optimizes prompts for LLMs to cut token usage, lower costs, and boost response quality by analyzing, condensing, and rewriting instructions; useful when teams need faster, cheaper, clearer AI conversations.

SQL Query Optimization

optimizing-sql-queries

jeremylongshore/claude-code-plugins-plus-skills

Analyzes SQL statements, identifies bottlenecks, suggests indexes and rewrites, and leverages the sql-query-optimizer plugin so you can improve database responsiveness when queries run slowly.

PyTorch FSDP2 Training Flow

Orchestra-Research/AI-Research-SKILLs

Guides adding PyTorch FSDP2’s fully_shard integration to training loops, covering correct distributed init, bottom-up sharding, mixed precision/offload policies, DTensor-aware optimizers, and distributed checkpointing so oversized models or DeviceMesh sharding goals work reliably.

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