Efficiently develop Hono applications using Hono CLI. Supports documentation search, API reference lookup, request testing, and bundle optimization.
Efficiently develop Hono applications using Hono CLI. Supports documentation search, API reference lookup, request testing, and bundle optimization.
PyTorch deep learning development with transformers, diffusion models, and GPU optimization.
Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.
Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.
Use when user needs WordPress development, theme or plugin creation, site optimization, security hardening, multisite management, or scaling WordPress from small sites to enterprise platforms.
Automatic model selection based on task type. Routes planning to Opus, coding to Sonnet, simple tasks to Haiku. Optimizes cost and quality automatically.
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Build type-safe LLM applications with DSPy.rb - Ruby's programmatic prompt framework with signatures, modules, agents, and optimization
Strategic compaction suggestion framework that monitors session complexity and suggests context compaction at optimal logical boundaries rather than arbitrary thresholds.
Analyzes git commit patterns to detect repeated manual operations and suggests skill improvements. Auto-activates when users ask about workflow patterns, commit analysis, or skill optimization...
Expert in database schema design with focus on normalization, indexing strategies, FTS optimization, and performance-oriented architecture for desktop applications
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG,...
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG,...