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CloudFormation Best Practices

cloudformation-best-practices

sickn33/agentic-awesome-skills

Expert guidance on AWS CloudFormation template optimization, nested stacks, drift detection, and production-ready patterns. Use when writing or reviewing CF templates for maintainability, cost, and safety.

Technical Debt Analysis and Remediation

code-refactoring-tech-debt

sickn33/agentic-awesome-skills

This skill helps identify technical debt in software projects by analyzing code and change history. It estimates impact, prioritizes improvements, and creates actionable remediation plans. Focuses on code quality, architecture, testing, and infrastructure issues to reduce maintenance costs and improve development velocity.

Context Engineering Fundamentals

context-fundamentals

sickn33/agentic-awesome-skills

This skill covers the core concepts of context engineering for language models, including system prompts, tool definitions, retrieved documents, message history, and tool outputs. It explains how attention mechanisms work, context window constraints, and strategies for optimizing context usage to reduce costs and improve agent performance.

Context Optimization Techniques

context-optimization

sickn33/agentic-awesome-skills

Techniques for extending effective context capacity via compaction, observation masking, KV-cache optimization, and partitioning to reduce tokens, cost, and latency in agent systems.

Cloud Cost Optimization

cost-optimization

sickn33/agentic-awesome-skills

Strategies and patterns to reduce AWS, Azure, and GCP cloud spending through right-sizing, pricing models, tagging, and budget monitoring.

Data Engineering Expert

sickn33/agentic-awesome-skills

Expert data engineer specializing in scalable data pipelines, modern data warehouses, lakehouse architectures, and real-time streaming. Proficient in Apache Spark, dbt, Airflow, Kafka, and cloud-native platforms (AWS, Azure, GCP). Focuses on reliable, performant, and cost-effective data solutions with strong emphasis on data quality and governance.

Data Pipeline Architecture

data-engineering-data-pipeline

sickn33/agentic-awesome-skills

Expert guidance for designing scalable batch and streaming data pipelines, covering ETL/ELT, orchestration, dbt transformations, data quality, lakehouse storage, monitoring, and cost optimization.

Cloud Cost Optimization Expert

database-cloud-optimization-cost-optimize

sickn33/agentic-awesome-skills

This skill helps you reduce cloud infrastructure expenses while maintaining performance and reliability. It involves analyzing cloud spending, identifying savings opportunities, and implementing cost-effective architectures across AWS, Azure, and GCP. Focus on rightsizing instances, managing budgets, and eliminating waste.

Fal Platform API Management

sickn33/agentic-awesome-skills

Provides read-only platform APIs for inspecting model management, pricing, and usage tracking. Use to verify account identity, region, endpoints, time windows, costs, and gaps without modifying keys or billing.

Firebase Backend Development

sickn33/agentic-awesome-skills

Master Firebase backend services including Authentication, Firestore, Realtime Database, Cloud Functions, Storage, and Hosting. Learn security rules, data modeling for read-heavy workloads, and cost optimization to avoid pitfalls like expensive reads and query limitations.

GCP Cloud Run Serverless Development

sickn33/agentic-awesome-skills

This skill enables building production-ready serverless applications on Google Cloud Platform using Cloud Run. It covers containerized services, event-driven functions, cold start optimization, and Pub/Sub integration. Includes guidance on memory management, concurrency settings, and scaling bottlenecks to ensure efficient deployment and cost control.

GCP Compute Engine Management

sickn33/agentic-awesome-skills

This skill covers deploying and managing virtual machines on Google Cloud Platform using Compute Engine. It includes creating instance templates, configuring managed instance groups for auto-scaling, and utilizing preemptible or spot VMs for cost optimization. Users will learn to provision GPU instances, manage snapshots, and apply startup scripts via gcloud CLI commands for production workloads.

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