Agent Skills Hub

mcp-server

Guide for integrating and managing custom Model Context Protocol (MCP) servers within the Cursor IDE environment.

remote-browser

Controls a local or remote headless browser for automated web navigation, data extraction, form interaction, and testing from sandboxed environments.

ray-skill

Sends debugging data, logs, and visual output to the Ray desktop application via its local API for real-time developer feedback.

code-review-specialist

A specialized code review agent that performs multi-dimensional analysis covering security vulnerabilities, performance optimization, code quality, and maintainability standards.

swe-cli-skills

Expert CLI guides for AI agents, featuring senior engineer workflows, safety guardrails, and operational patterns for cloud, IaC, containers, databases, and dev tools.

mcp-gateway

Manage, deploy, and debug GitHub MCP servers and gateways. Orchestrate Docker-based MCP containers, troubleshoot connectivity, handle authentication, and integrate with Copilot CLI and Agentic Workflow Firewalls.

design-review

Designer's eye QA: detects and automates fixes for visual inconsistencies, spacing, hierarchy, and UI polish issues. Iteratively verifies with before/after screenshots.

exploratory-testing-advanced

Advanced exploratory testing with SBTM, RST heuristics, and test tours. Use for investigating bugs, discovering unknown risks, and structured manual exploration.

deployment-rollback

Emergency recovery suite for Vercel-hosted projects. Manage deployment rollbacks, database migration reverts, cache invalidation, and health verification workflows.

claude-md-enhancer

Automated toolkit for creating, maintaining, and enhancing CLAUDE.md files to ensure your project's AI-assisted development guidelines are always accurate, modular, and best-practice compliant.

venv-manager

Automated Python virtual environment manager for project isolation, dependency management, and lifecycle validation.

context-driven-testing

Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.