Explore our collection of Agent Skills to enhance your AI workflow.
Manages network domains for Railway services, including instant railway.app subdomains and custom domain configurations.
Analyzes and manages Wispr Flow voice dictation data to provide usage insights, advanced search, and automated exports.
Queries and retrieves structured data from Obsidian Bases using the Bases Query plugin via RPC.
Extracts and downloads Twitter/X image assets from Markdown files while automatically updating local file paths.
Deploys code, services, and local changes to the Railway platform using the Railway CLI.
Fetches up-to-date Railway documentation to provide accurate answers about deployments, infrastructure, and platform features.
Manages Railway environment configurations, variables, build settings, and service scaling.
Manages YouTube channel tracking by automating video content collection, transcript retrieval, and structured summary generation.
Deploys and configures official Railway database services including PostgreSQL, Redis, MySQL, and MongoDB with automated environment wiring.
Standardizes integration and end-to-end testing through ROI-driven design, behavior-first principles, and structured test skeletons.
Automates the end-to-end process of creating and packaging specialized Claude Code skills from various external or local sources.
Manages Obsidian tasks via the TaskNotes plugin API to streamline productivity and personal knowledge management.
Enforces language-agnostic testing best practices including TDD, AAA patterns, and high-quality coverage standards.
Automates the initialization, linking, and deployment of services to the Railway platform with intelligent configuration support.
Automates the build process and executes comprehensive test suites for the PyPTO project using CMake and pytest.
Monitor and analyze real-time resource usage for Railway services including CPU, memory, network, and disk performance.
Manages Railway deployment lifecycles, log monitoring, and service troubleshooting through the Railway CLI.
Provides technical decision criteria, anti-pattern detection, and standardized quality assurance workflows for frontend development.
Enforces technical decision criteria, anti-pattern detection, and rigorous quality assurance workflows for high-reliability development.
Manages Railway projects and workspaces by listing, switching, and configuring core settings like PR deploys and project visibility.
Detects and resolves circular compile-time dependencies in Elixir projects using mix xref and structured refactoring.
Deploys pre-configured services, databases, and applications from the Railway template marketplace directly into your project.
Manages code review feedback, technical debt, and feature requests through a structured, file-based todo system in your repository.
Reviews and optimizes prompt files against Anthropic's official engineering best practices to ensure high-quality AI outputs.
Provides expert guidance and templates for building, auditing, and optimizing Claude Code skills and custom slash commands.
Generates structured, test-driven development task breakdowns from design specifications to streamline the implementation phase.
Automates web browser interactions using a ref-based CLI optimized for AI agent workflows.
Refines UI components systematically through iterative screenshot analysis and targeted visual improvements.
Orchestrates self-improving AI sub-agents that automatically learn from past mistakes and session transcripts to enhance future performance.
Researches comprehensive technical documentation, best practices, and version-specific constraints for software libraries and frameworks.
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