johnrogers-claude-swift-engineering

Curated AI prompts for iOS and Swift development tasks, helping developers write better code with guided prompting strategies.

200 skills

Optimizes context usage and improves Claude integration performance. Targets React development workflows.

155 skills · 28 agents · 2 MCP servers

Production-ready Claude Code skills for Cloudflare, React, Tailwind CSS v4, and AI integrations. Accelerates full-stack development with modern tooling.

182 skills

Skills pack for AI-driven macOS development, system automation, and Apple platform integration.

181 skills

Claude skill for building accessible, styled UI components with DaisyUI and Tailwind CSS. Accelerates frontend development with pre-built design system.

170 skills

Implement computer vision and image processing in iOS using Apple's Vision framework. Covers object detection, face recognition, and barcode scanning.

86 skills · 1 MCP server

Swift language server (SourceKit-LSP) for code intelligence

67 specialized skills for full-stack development: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 8 backend frameworks, 7 frontend/mobile, plus infrastructure, DevOps, security, and testing skills. Includes 9 project workflow commands for epic planning, discovery, execution, and retrospectives.

67 skills · 10 commands

Reviews SwiftUI code for best practices on modern APIs, maintainability, and performance.

1 skill

Expert SwiftUI guidance for state management, view composition, performance, modern SDK APIs, and Liquid Glass patterns.

2 skills

Swift Language Server Protocol integration — code intelligence, completions, diagnostics, and refactoring for iOS and macOS projects

Build, deploy, and operate applications on AWS. Skills to author infrastructure-as-code (CDK, CloudFormation), use core services (Lambda, API Gateway, Step Functions, ECS/Fargate, ECR, IAM, Amazon Bedrock with Knowledge Bases and Guardrails, AWS Blocks), select and operate databases across relational, key-value, document, wide-column, graph, time-series, and in-memory engines (Aurora PostgreSQL/MySQL, Aurora DSQL, RDS, Oracle Database@AWS, DynamoDB, DocumentDB, Keyspaces, Neptune, Timestream, ElastiCache, and MemoryDB), and complete common tasks across observability (CloudWatch, X-Ray, CloudTrail, ADOT), messaging and streaming (SQS, SNS, EventBridge, Kinesis, MSK), AWS SDKs (boto3, JS v3, Swift), cost optimization, and Well-Architected Framework reviews across all six pillars.

27 skills · 1 MCP server