Web scripting with PHP and Ruby for web applications, CMS development, and backend services
Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.
Write idiomatic Ruby code with metaprogramming, Rails patterns, and performance optimization. Specializes in Ruby on Rails, gem development, and testing frameworks. Use PROACTIVELY for Ruby refactoring, optimization, or complex Ruby features.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub travis-d-elliott/agents --plugin web-scriptingAccess thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Complete developer toolkit for Claude Code
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Performance analysis, test coverage review, and AI-powered code quality assessment
API testing automation, request mocking, OpenAPI documentation generation, observability setup, and monitoring
CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
HADS (Human-AI Document Standard) — semantic tagging convention for writing documentation that works efficiently for both human readers and AI models. Reduces token consumption and hallucination risk by separating machine-critical facts from human context.