Explore our collection of Agent Skills to enhance your AI workflow.
Streamlines spec-driven development within the Amp CLI using LeIndex analysis and a Rust-based orchestration TUI.
Manages seamless state serialization and context transitions between autonomous agents and development sessions.
Automates visual regression testing and UI consistency checks using Chromatic, Lost Pixel, and Playwright snapshots.
Develops and trains Graph Neural Networks (GNNs) using the PyTorch Geometric library for irregular data structures and geometric deep learning.
Analyzes Claude Code telemetry to generate actionable insights into performance, costs, and tool usage patterns.
Optimizes Claude agent performance and manages API costs through strategic model selection and token efficiency.
Provides direct access to the KEGG REST API for biological pathway analysis, gene mapping, and metabolic research.
Provisions production-ready AWS EKS clusters using Terraform and industry-standard security best practices.
Emulates diverse mobile devices and responsive environments using Playwright to ensure seamless cross-platform web performance.
Enforces standardized testing protocols and best practices to ensure high-quality, maintainable test suites.
Automates complex research-to-implementation workflows by chaining multiple MCP tools with built-in graceful degradation.
Architects and refactors high-performance React 18+ applications with a focus on maintainability, state management, and web accessibility.
Generates high-resolution 4K images with integrated text rendering and factual grounding using Google's Gemini 3 Pro Image model.
Enforces a strict test-driven development cycle using a multi-agent red-green-refactor orchestration.
Enables persistent, graph-based memory for Claude Code to retain context and learn from previous sessions.
Validates technical implementation plans and architecture decisions through deep, probing interviews before coding begins.
Provides optimized ripgrep recipes for rapid symbol discovery and navigation within C# and .NET projects.
Persists project state and development progress across autonomous coding sessions to ensure seamless continuity.
Optimizes codebase navigation by providing a structured decision tree for semantic, structural, and literal code searches.
Automates the end-to-end process of diagnosing, fixing, and resolving failing CI checks for GitHub Actions and Buildkite.
Protects autonomous coding environments by enforcing command allowlists, filesystem permissions, and execution sandboxing.
Monitors token usage and optimizes API expenditure for autonomous coding agents.
Provides real-time access to LangGraph documentation for accurate implementation of stateful AI agents.
Implements a scalable frontend architecture combining Next.js App Router with Feature-Sliced Design (FSD) principles.
Streamlines GitHub Pull Request creation by analyzing code changes and enforcing Conventional Commit standards.
Builds and maintains the FastAPI-powered qEEG Council backend for automated EEG analysis workflows and clinical report generation.
Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free Lightning modules and automated training workflows.
Generates distinctive, production-grade frontend interfaces with high-quality aesthetics that avoid generic AI-generated patterns.
Streamlines the creation of professional internal business communications using standardized company formats and reporting templates.
Provides comprehensive tools for phylogenetic tree manipulation, evolutionary analysis, and high-quality biological data visualization.
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