Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes AI agent performance by implementing standardized AGENTS.md context files for reliable, persistent codebase guidance.
Facilitates safe legacy code migrations using the strangler-fig pattern to build parallel architectures without disrupting current behavior.
Generates professional UX artifacts including user flows, wireframes, and UI component specifications using the Gemini backend.
Manages isolated Git worktrees to enable parallel development and safe, autonomous coding workflows.
Enables real-time data synchronization, live broadcasts, and user presence tracking using Supabase's Realtime engine.
Implements robust OAuth 2.0 authentication for GitHub and Microsoft Entra in Cloudflare Workers and other edge environments.
Automates Railway.app deployments and workflows using CI/CD pipelines, migration scripts, and event-driven webhooks.
Persists coding session state and tracks feature progress across autonomous AI development cycles.
Manages GitHub repositories, pull requests, issues, and CI/CD workflows using the official GitHub CLI.
Manages and automates Home Assistant instances through REST and WebSocket APIs for safe, bulk entity updates and system maintenance.
Provisions and manages Amazon EKS clusters to streamline Kubernetes deployments within AWS environments.
Automates visual regression testing workflows using Chromatic, Lost Pixel, and Playwright to ensure UI consistency across deployments.
Optimizes CI/CD workflows by reducing execution time and operational costs through intelligent pipeline refactoring.
Automates the entire software development lifecycle by managing end-to-end autonomous coding workflows from specification to final verification.
Configures and manages Railway.com observability including built-in metrics, custom dashboards, proactive alerting, and full Grafana stack integration.
Accelerates development by orchestrating multiple independent AI agents to solve concurrent tasks and debugging issues simultaneously.
Drives the continuous improvement and feature evolution of the As You plugin through data-driven analysis and meta-development proposals.
Implements a class-less, delegation-based inheritance system to simplify object structures and file-based state management for AI workflows.
Captures comprehensive observability metrics across the entire Claude Code lifecycle using ten specialized hooks for deep session and tool analysis.
Establishes professional Git branching strategies and naming conventions to streamline team collaboration and release management.
Manages Obsidian vaults and facilitates plugin development directly through the command line.
Refreshes Claude sessions while preserving critical task context and development state.
Enforces high-standard coding principles by prioritizing readability and meaningful documentation over raw performance.
Integrates health and fitness data from over 150 wearable devices using the Terra API for standardized biometric retrieval.
Documents architectural decisions with context, alternatives, and consequences to maintain a clear record of technical evolution.
Implements high-performance semantic vector search and RAG capabilities for intelligent document retrieval.
Retrieves random or categorized jokes from JokeAPI using a high-performance Bun CLI script.
Optimizes Claude agent performance, reduces API costs, and accelerates build speeds through intelligent configuration and resource management.
Manages the quality assurance lifecycle for Kanban tasks by reviewing, approving, or rejecting completed work with detailed feedback.
Implements robust API integration patterns including retries, circuit breakers, and rate limiting to ensure system stability.
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