Explore our collection of Agent Skills to enhance your AI workflow.
Enforces a strict Red-Green-Refactor workflow to ensure all production code is verified by failing tests first.
Performs comprehensive Ruby and Rails code reviews based on industry best practices and automated analysis tools.
Generates, analyzes, and optimizes high-performance prompts for Claude Code skills, commands, and subagents.
Navigates and analyzes codebases semantically using AST-aware search and impact analysis to improve AI context.
Generates high-fidelity, Apple-inspired user interfaces using minimalist aesthetics, premium styling, and best-in-class UX principles.
Transforms legacy PHP and Laravel code into modern, maintainable structures following 11+ best practices and SOLID principles.
Manages and optimizes multi-phase iteration workflow settings for Claude Code models and parallel agents.
Generates production-ready Claude Code Skills with standardized YAML frontmatter and progressive disclosure architectures.
Implements efficient React state management using Zustand 5 patterns, store modularization, and persistence strategies.
Implements robust tRPC v11 patterns for Next.js applications using command-query separation, strict validation, and role-based access control.
Automates evidence-based debugging through systematic hypothesis generation, runtime instrumentation, and structured log analysis.
Deploys and optimizes Gleam applications to production environments using Docker, Fly.io, and automated CI/CD pipelines.
Integrates Gleam with Erlang and Elixir ecosystems using Foreign Function Interface (FFI) and type-safe BEAM patterns.
Applies Test-Driven Development principles to create, verify, and optimize specialized capabilities for Claude Code.
Implements a systematic five-stage workflow for code development, analysis, and validation to ensure high-quality, modular software.
Streamlines the code review process by dispatching specialized subagents to verify code quality and requirement alignment before merging.
Generates production-grade Model Context Protocol (MCP) servers in Python and TypeScript to connect LLMs with external APIs and services.
Validates implementation plans against research and requirements to identify gaps before code is written.
Transforms research findings into rigorous, battle-tested implementation plans using structured architectural artifacts.
Diagnoses complex code errors and identifies root causes through a systematic, multi-step troubleshooting framework.
Executes architectural plans through a rigorous build-and-validate loop to ensure production-ready, tested code.
Enforces a rigorous, four-phase root cause analysis process to prevent guesswork and ensure permanent software fixes.
Conducts systematic, evidence-based debugging using hypothesis-driven investigation and pattern recognition.
Enables per-project configuration and state management for Claude Code plugins using YAML-frontmatter markdown files.
Organizes cluttered directories and optimizes file structures through context-aware analysis and automated cleanup workflows.
Optimizes web images using modern compression, format conversion, and responsive techniques to enhance site performance and SEO.
Generates high-quality AI videos from text and image prompts using industry-leading models like Sora and Veo.
Automates web browsing, form filling, and data extraction using the Vercel agent-browser CLI with ref-based selection.
Streamlines Unity C# script development through high-performance symbol navigation, structured code editing, and automated refactoring tools.
Enhances Unity C# development with LSP-powered code indexing, symbol navigation, and intelligent script refactoring.
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