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Azure Functions Development Patterns

azure-functions

sickn33/antigravity-awesome-skills

Master expert patterns for building robust serverless applications using Azure Functions. This guide covers multi-language support (.NET, Python, Node.js), including the isolated worker model, Durable Functions orchestration, cold start optimization, and implementing various triggers (HTTP, Timer, Blob). Essential for developing scalable, production-ready cloud backend services.

Backend Architecture Patterns and Best Practices

cc-skill-backend-patterns

sickn33/antigravity-awesome-skills

A comprehensive guide to modern backend development patterns for scalable server-side applications using Node.js, Express, and Next.js. Covers API design (RESTful), data access patterns (Repository, Service Layer), database optimization (N+1 prevention, Transactions), and advanced caching strategies (Redis, Cache-Aside). Essential for building robust, high-performance APIs.

Node Backend Patterns

backend-patterns

affaan-m/everything-claude-code

Documenting backend architecture patterns, API design, database optimization, caching, and error-handling best practices tailored for scalable Node.js, Express, and Next.js API routes.

Optimizing Bazel Builds for Monorepos

bazel-build-optimization

sickn33/antigravity-awesome-skills

A comprehensive guide and set of patterns for optimizing build processes using Bazel in large-scale monorepositories. Covers configuring WORKSPACE, managing remote caching/execution, defining custom rules (Python, TypeScript), and best practices for maintaining build performance and consistency across massive codebases.

Bundle Size Analyzer

bundle-size-analyzer

jeremylongshore/claude-code-plugins-plus-skills

Automated Frontend Development assistant that guides bundle size analysis, optimization best practices, and production-ready code/config setup for React, Vue, CSS, and performance workflows.

ClickHouse Analytics and Data Engineering Patterns

cc-skill-clickhouse-io

sickn33/antigravity-awesome-skills

This guide provides comprehensive patterns and best practices for working with ClickHouse, a high-performance OLAP database. It covers advanced topics such as MergeTree engine design, efficient query optimization (filtering, aggregations, window functions), bulk/streaming data ingestion, materialized view creation, and performance monitoring techniques, ensuring optimal performance for large-scale analytical workloads.

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.

Clerk Production Readiness Checklist

clerk-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist for ensuring an application integrated with Clerk is fully production-ready. It covers essential steps across environment configuration, security hardening (e.g., CORS, rate limiting), monitoring setup, graceful error handling, and performance optimization necessary before launching to a live audience.

ClickHouse Analytics Patterns

affaan-m/everything-claude-code

Guides ClickHouse database architects through schema designs, query optimization, ingestion strategies, and monitoring techniques tailored for high-performance analytical workloads.

Claudeception Skill Extraction

blader/Claudeception

Claudeception continuously monitors work sessions, looking for reusable insights—debugging tricks, tool integrations, and workflow optimizations—and codifies them into new Claude Code skills so teams retain non-obvious knowledge for future tasks.

CodeRabbit Cost and Usage Optimization

coderabbit-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to optimizing costs associated with AI code review tools like CodeRabbit. Learn strategies for right-sizing seat allocation, scoping services to high-value repositories, and implementing granular file filters to minimize unnecessary AI processing and billing overhead. Essential for managing SaaS spend in a DevOps environment.

Constant-Time Analysis

constant-time-analysis

trailofbits/skills

Detects operations in cryptographic code that leak secrets via timing side channels, guiding developers through multi-language analysis and CLI flags for warnings, filtering, architecture, and optimization levels.

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