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Automates full-stack application development workflows by orchestrating code generation, architecture design, and project scaffolding across multiple programming languages and frameworks.

Automates full-stack application development workflows by orchestrating code generation, architecture design, and project scaffolding across multiple programming languages and frameworks.

Generates comprehensive application development workflows by orchestrating AI agents for full-stack project initialization, architecture design, and code generation.

Automates full-stack application development workflows by orchestrating code generation, architecture design, and incremental project implementation across multiple programming domains.

Agents specialized in prompt engineering and AI interaction. Focuses on effective prompt design and AI model optimization.

Generates comprehensive LLM application architecture and boilerplate code, integrating best practices for scalable AI-driven software development across frontend, backend, and interaction design.

Comprehensive prompt engineering plugin for optimizing, analyzing, and creating prompts across multiple LLM models (Claude, GPT, Gemini)

Provides advanced reasoning frameworks and prompt engineering techniques to enhance AI's analytical and problem-solving capabilities through structured thinking patterns and directly actionable cog...

Optimizes AI prompts for Genkit projects by analyzing and refining prompt quality, structure, and effectiveness to improve AI model performance and response accuracy.

Generates comprehensive LLM application development workflows, including architecture design, code generation, and deployment strategies for AI-powered software projects.

Optimizes AI agent performance by dynamically tuning parameters, reducing token consumption, and improving multi-agent workflow efficiency.

Prompt engineering and context engineering skill based on Anthropic best practices. Covers clarity, structure, progressive discovery, and signal-to-noise optimization for AI agents.

Transforms and optimizes AI prompts across multiple platforms using the PRECISE methodology, automatically detecting the target platform and expanding vague instructions into precise, context-aware...

Develops advanced retrieval-augmented generation (RAG) systems, designs sophisticated AI agent architectures, and engineers high-performance prompt strategies for LLM applications.

Provides a curated marketplace of 34 production-ready Claude Code skills to enhance development workflows, with a meta-skill for creating custom skills.

Transforms raw prompts into optimized, context-aware instructions that maximize AI model performance and response quality across different coding and interaction scenarios.