Explore our collection of Agent Skills to enhance your AI workflow.
Implements resilient, high-capacity file transfer systems using chunking, progress tracking, and checksum verification.
Streamlines the creation of modular Claude Code skills using standardized patterns and progressive disclosure principles.
Automates the end-to-end release and publication process for the Ash Cookie Consent Elixir library.
Explores and implements the to-be-continuous GitLab CI/CD framework for standardized, production-grade pipeline automation.
Manages modular Claude Code rules through interactive guided elicitation to standardize project conventions and personal workflows.
Automatically detects and orchestrates project-specific coding patterns and domain knowledge within any Ruby on Rails repository.
Automates local web application testing and browser interaction using Playwright and integrated server management utilities.
Automates versioning and release management for plugins within a marketplace architecture.
Automates the organization and tracking of scanned student assignments through vision-based name recognition and roster matching.
Enforces technical rigor and evidence-based validation throughout the code review and task completion lifecycle.
Provides specialized functions for hydrological modeling and climate data processing within the Julia environment.
Builds high-performance full-stack applications using Next.js, Turborepo, and RemixIcon with optimized implementation patterns.
Provides expert guidance on testing Rails applications using Minitest, covering everything from unit tests to full system browser simulations.
Provides a standardized data model reference for orchestrating Product Management workflows and requirements within Airtable.
Creates beautiful, accessible, and production-ready user interfaces using shadcn/ui components, Tailwind CSS, and sophisticated canvas-based design systems.
Discovers and analyzes the latest technical documentation using llms.txt standards, GitHub repository analysis, and parallel AI exploration.
Automates complex coding tasks and feature implementations using Codex CLI in non-interactive, hands-off modes.
Automatically captures Bash commands and organizes them into documented, reusable Makefile targets.
Deploys and manages cloud infrastructure across Cloudflare, Docker, and Google Cloud Platform for high-performance applications.
Provides real-time visualization and monitoring of multi-agent Claude Code sessions through a high-performance web dashboard.
Identifies architectural weaknesses and hidden bottlenecks by stress-testing software concepts at extreme theoretical scales.
Guides the creation of high-quality Model Context Protocol (MCP) servers to enable seamless LLM interaction with external APIs and services.
Manages Model Context Protocol (MCP) servers to discover, analyze, and execute external tools and resources within AI agent workflows.
Traces complex software bugs systematically back to their original trigger points using stack analysis and instrumentation.
Implements a robust error handling strategy by segregating domain-specific typed errors using thiserror and application-level context with anyhow.
Optimizes AI agent performance through Anthropic-based context engineering and prompt structure standards.
Executes 240+ specialized Fabric prompts natively within Claude Code for advanced content analysis, security auditing, and wisdom extraction.
Integrates OpenAI Codex CLI into Claude Code to perform advanced code analysis, automated refactoring, and persistent execution sessions.
Establishes a persistent AI identity, secure contact management system, and standardized response framework for Claude Code.
Implements secure, framework-agnostic authentication and authorization using the Better Auth TypeScript ecosystem.
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