18 boosters for "tooling" — open source, verified from GitHub, ready to install
"name": "vizro-marketplace", "name": "Vizro Team", "email": "vizro@mckinsey.com"
This skill documents how to run the Parchi relay daemon, connect the browser extension as an agent, and use the CLI to drive browser automation. 1. Build everything: 2. Start the relay daemon (terminal A):
Heuristic scoring (no AI key configured).
"name": "@aashari/mcp-server-atlassian-confluence", "description": "Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases us
This booster teaches AI assistants how to build vvvv gamma editor extensions, covering file naming conventions, command registration, window types, and API access patterns. It's essential for developers creating custom editor plugins and automation tools in the vvvv visual programming environment.
"name": "f5-framework", "description": "F5 Framework - AI-powered development framework with quality gates, TDD support, and enterprise-grade tooling for Claude Code", "name": "Fujigo Software Solutions",
"description": "LLM observability tooling for agent development and Claude Code", "url": "https://comet.com" "repository": "https://github.com/comet-ml/opik-claude-plugin",
An MCP server that enables AI systems to authenticate with AWS SSO and execute AWS CLI commands securely using temporary credentials. Ideal for developers and DevOps engineers who want to integrate AWS resource management into LLM-powered applications.
"name": "react-native-foundations", "description": "React Native foundation skills — documentation search, diagnosis, debugging, design-first coding, and development tooling", "keywords": ["react-native", "documentation", "mobile", "ios", "android", "skills"]
Loads LTI 1.3 and LTI Advantage specifications to provide context for building LTI-compliant educational tooling. Developers building integrations with learning management systems will benefit from having these standards readily available.
This booster helps developers design and implement the Moltrouter Protocol (MRP), a system for agent-to-agent discovery, capability negotiation, and routing. It's useful for teams building multi-agent systems that need standardized communication and service discovery.
Infrastructure Specialist Droid that proactively manages CI/CD pipelines, build tooling, and deployment configurations with autonomous access to Linear, Exa Search, and code execution tools. Essential for DevOps engineers and backend teams automating infrastructure workflows.
Loads LTI 1.3 and LTI Advantage specifications to provide context for building LTI-integrated educational tools. Ideal for developers creating learning management system integrations and assessment platforms.
dx-optimizer is a Developer Experience specialist agent that streamlines project setup, eliminates repetitive workflows, and optimizes tooling to reduce development friction. Teams benefit from faster onboarding, automated tasks, and improved productivity.
ChadNext is a Windsurf rules booster that provides comprehensive coding standards and best practices for Next.js projects using TypeScript, React, Shadcn UI, and Tailwind CSS. It helps developers maintain consistent code quality and architecture across modern full-stack applications.
Equoria Cursor Rules establishes development standards, tech stack guidelines, and CI/CD practices for Equoria projects, helping teams maintain consistency across Node.js/React Native full-stack development.
A DevOps specialist agent that automates project infrastructure, CI/CD configuration, and operational improvements across development workflows. Ideal for teams needing centralized tooling management and deployment automation.
FACET is a markup language and authoring system for structured AI prompting that enables human-readable, machine-deterministic configuration across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). It helps developers create reusable, validated prompts with strict syntax rules, type checking, and built-in transformations.
