Explore our collection of Agent Skills to enhance your AI workflow.
Orchestrates isolated, reproducible test environments using Docker Compose and Testcontainers to streamline software testing workflows.
Optimizes context window usage by organizing skills into a tiered structure that reveals information incrementally.
Automates and secures Claude Code sessions through event-driven shell commands and LLM-evaluated prompts.
Architects comprehensive technical implementation plans and roadmaps focused on scalability, security, and maintainability.
Analyzes ambiguous project requests to recommend optimal system architectures and implementation routes based on specific needs.
Automates professional Microsoft Word document creation, editing, and analysis with support for tracked changes and complex formatting.
Tests local web applications using Playwright scripts with automated server lifecycle management and DOM inspection capabilities.
Categorizes and manages the global registry of Claude Code skills to streamline discovery and selection.
Extracts structured experimental protocol data and instructions from LA-Bench format JSONL files.
Provides expert guidance and automated workflows for designing, building, and optimizing custom Claude Code Skills.
Integrates external services and APIs into Claude Code plugins through structured Model Context Protocol (MCP) server configuration.
Defines and implements standardized subagent architectures for managing complex AI workflows and skill coordination.
Provides a comprehensive guide for configuring and optimizing the Claude Code CLI architecture and automation features.
Provides a standardized template and documentation framework for building and submitting Claude Code skills to the marketplace.
Empowers developers to build, configure, and orchestrate specialized Claude Code subagents for autonomous multi-agent workflows.
Provides comprehensive patterns and best practices for writing automated unit tests for shell scripts using the Bats framework.
Analyzes market data using Hurst exponent, GARCH models, and Markov regime detection to identify optimal trading symbols for quantitative strategies.
Generates structured scientific research reports by analyzing raw data, verifying physical models, and calculating quantitative performance metrics.
Automates the modernization of legacy Python codebases by converting old-style string formatting to efficient, readable f-strings.
Prevents configuration conflicts by isolating Claude Code tool settings from project-specific implementation logic.
Searches Slack message history and retrieves channel conversations using the Slack Web API.
Conducts structured multi-criteria decision analysis (MCDA) by generating weighted scoring spreadsheets in Google Sheets.
Streamlines React development with an enterprise-grade shadcn/ui component library and AI-enhanced design system architecture.
Streamlines the creation, validation, and standardization of Claude Code skills through automated formatting and interactive templates.
Enforces enterprise-grade TypeScript patterns and modern full-stack architectures using Next.js 16, React 19, and tRPC.
Automates the end-to-end process of package updates by orchestrating specialized agents for research, impact analysis, and implementation.
Discovers and analyzes project specifications, active changes, and system requirements to provide deep context for development tasks.
Scaffolds production-ready time-series forecasting experiments using Nixtla's suite of machine learning and statistical libraries.
Automates the transition of standalone projects into a high-performance Turborepo monorepo structure while preserving Git history.
Executes code modifications within a skill chain while systematically tracking implementation status and file changes.
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