18 boosters for "graphql" — open source, verified from GitHub, ready to install
Generates per-category catalog JSON files from the npm package's public API. Each catalog lists all UseCase and EventHandler abstractions in a category with their resolved source file paths. LLMs read source files on demand for exact, up-to-date types — no enrichment phase needed. 1. Discovers all
A Cursor IDE rules booster providing React best practices and patterns for building modern web applications with functional components, hooks, and state management guidance.
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
This MCP server bridges AI assistants with Linear project management via GraphQL, enabling Claude and Cursor users to query and manage Linear projects directly through natural language. It's essential for teams using Linear who want AI-assisted workflow automation and issue management.
This skill generates reusable Relay-based Nodes components that: Activate this skill when users ask to: The skill automatically determines:
Align all code suggestions, architecture recommendations, and technical solutions with this stack unless explicitly requested otherwise.
Guides developers through setting up and configuring Torii, the Dojo indexer, to enable GraphQL queries, gRPC subscriptions, and SQL access for deployed worlds. Essential for developers building client applications that need efficient querying and real-time updates on Dojo world state.
"name": "apollo-skills", "description": "Agent skills for AI coding agents working with Apollo GraphQL tools and technologies", "name": "Apollo GraphQL",
Reference documentation for Prismatic platform operations and the standardized API access hierarchy. Prismatic API access follows a two-tier priority system for interactive agents (e.g., Orby). Builder agents (cni-builder, component-builder) use their own script-based pipelines and should not use MC
A Windsurf rules configuration for managing task-driven development workflows in hospital job platform projects, enabling developers to streamline task creation, breakdown, and tracking through CLI commands and standardized processes.
Safarnak cursor rules provide comprehensive AI-assisted development guidelines for a full-stack, offline-first travel app built with Expo React Native, Cloudflare Workers, and GraphQL. Developers building complex mobile apps with multi-storage architectures and real-time features will benefit from these opinionated, production-tested rules.
Mcp Tool Factory generates MCP servers from natural language, OpenAPI specs, databases, GraphQL, and ontologies, supporting 10+ LLM providers. Developers building AI agents and tool ecosystems benefit from automated server generation without manual boilerplate.
An MCP server that integrates Monti APM performance monitoring data with Claude, enabling developers to query and analyze Meteor/GraphQL application metrics directly through the Model Context Protocol. Ideal for Meteor developers using Monti APM who want AI-assisted performance analysis and debugging.
Heuristic scoring (no AI key configured).
Shane is a backend developer agent specialized in APIs, databases, and business logic implementation, with deep expertise in DirectoryBolt's Next.js/Supabase architecture for payment processing and customer management.
Clem is a full-stack developer agent that helps you implement, maintain, and optimize both backend and frontend systems—from API endpoints and database optimization to React components and authentication. Perfect for developers tackling end-to-end feature development, refactoring, or architectural decisions.
This MCP Server enables AI assistants like Claude to interact with Shopify store data through GraphQL APIs, allowing developers to automate store management and data retrieval tasks within AI workflows.
This MCP server integrates Wildlife Insights' camera-trap data and species identification capabilities into Claude, enabling wildlife managers and researchers to query biodiversity data and manage conservation projects through natural language. It's particularly valuable for ranch managers, conservation teams, and wildlife researchers working with camera-trap networks.
